CN108683857A - Photographing optimization method and device, storage medium and terminal equipment - Google Patents

Abstract

The embodiments of the present application provide a method, device, storage medium and terminal device for optimizing photography. The method determines the jitter parameter of the photography device when taking photos through the photography device; obtains the brightness information in the shooting range of the photography device; and determines the continuous shooting parameters of the photography according to the jitter parameter and the brightness information. By adopting the above technical solution, the continuous shooting parameters of the photography can be determined according to the jitter parameter and the brightness change information, so that the photography device can take better photos according to the continuous shooting parameters.

Description

Photo optimization method, device, storage medium and terminal equipment

technical field

The embodiments of the present application relate to the technical field of terminal equipment, and in particular, to a photographing optimization method, device, storage medium, and terminal equipment.

Background technique

With the development of terminal equipment technology, the terminal equipment is generally equipped with a camera, and most users have terminal equipment capable of taking pictures. Different from traditional cameras, taking pictures through terminal devices is very easy to operate. When shooting with traditional cameras, it is generally necessary to set parameters or adjust the focal length of the lens; but to take pictures through terminal devices, users only need to align the subject Just press the camera button and you're done. Due to the simplification and convenience of taking pictures, the pictures taken in less than ideal environments are not ideal, so it is necessary to optimize the picture taking technology of the terminal device.

Contents of the invention

The photographing optimization method, device, storage medium, and terminal device provided in the embodiments of the present application can optimize the photographing of the terminal device according to different photographing environments.

In the first aspect, the embodiment of the present application provides a method for photographing optimization, including:

When shooting through the shooting device, determining the shaking parameters of the shooting device;

acquiring brightness information in the shooting range of the shooting device;

A continuous shooting parameter of the shooting is determined according to the shake parameter and the brightness information.

In the second aspect, the embodiment of the present application provides a photographing optimization device, including:

A jitter parameter determination module, configured to determine the jitter parameters of the photographing device when shooting through the photographing device;

a brightness acquisition module, configured to acquire brightness information in the shooting range of the shooting device;

A parameter determination module, configured to determine continuous shooting parameters of the shooting according to the shaking parameters and the brightness information.

In a third aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the photographing optimization method as described in the embodiment of the present application is implemented.

In the fourth aspect, the embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the implementation of the present application is implemented. The photo optimization method described in the example.

In the photographing optimization solution provided in the embodiment of the present application, when the photographing device is used for photographing, the shake parameter of the photographing device is determined; the brightness information in the photographing range of the photographing device is acquired; according to the shake parameter and The brightness information determines continuous shooting parameters of the shooting. By adopting the above technical solution, the continuous shooting parameters for shooting can be determined according to the shaking parameters and the brightness change information, so that the shooting device can take better photos according to the continuous shooting parameters.

Description of drawings

FIG. 1 is a schematic flow diagram of a photographing optimization method provided in an embodiment of the present application;

Fig. 2 is a schematic diagram of a scene of a photo-taking optimization method provided by an embodiment of the present application

FIG. 3 is a schematic flow diagram of another photographing optimization method provided in the embodiment of the present application;

Fig. 4 is a schematic flow chart of another photographing optimization method provided by the embodiment of the present application

Fig. 5 is a schematic flow chart of another photographing optimization method provided by the embodiment of the present application

Fig. 6 is a schematic diagram of a scene of another photographing optimization method provided by the embodiment of the present application

Fig. 7 is a schematic flow chart of another photographing optimization method provided by the embodiment of the present application

Fig. 8 is a schematic flow chart of another photographing optimization method provided by the embodiment of the present application

FIG. 9 is a structural block diagram of a photographing optimization device provided in an embodiment of the present application;

FIG. 10 is a schematic structural diagram of a terminal device provided in an embodiment of the present application;

FIG. 11 is a schematic structural diagram of another terminal device provided in an embodiment of the present application.

Detailed ways

The technical solution of the present application will be further described below in conjunction with the accompanying drawings and through specific implementation methods. It should be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only some structures related to the present application are shown in the drawings but not all structures.

Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the steps as sequential processing, many of the steps may be performed in parallel, concurrently, or simultaneously. Additionally, the order of steps may be rearranged. The process may be terminated when its operations are complete, but may also have additional steps not included in the figure. The processing may correspond to a method, function, procedure, subroutine, subroutine, or the like.

The shooting device may be a smart phone, a tablet computer, a smart camera or other terminal equipment with a shooting function, and the terminal equipment may also be a device with a corresponding operating system. In the prior art, when a user takes a picture with a hand-held camera, the camera may shake unsteadily, and the pictures taken by the camera may be blurred. In addition, if the lighting conditions of the shooting scene are not ideal, it will also cause the problem of excessive noise in the captured pictures. The embodiment of the present application can control the photographing device to continuously take multiple photos according to different shooting environments, and perform synthesis according to the multiple photos taken continuously to improve image quality.

Fig. 1 is a schematic flow chart of a photographing optimization method provided by an embodiment of the present application. The method can be executed by a photographing optimization device, wherein the device can be implemented by software and/or hardware, and can generally be integrated in a terminal device or can be integrated In other devices with an operating system installed. As shown in Figure 1, the method includes:

S110. Determine a shaking parameter of the photographing device when the photographing device is used for photographing.

Wherein, the shooting device may be a smart phone, a tablet computer, a smart camera or other devices; the shooting device may also be a shooting device on a terminal device, such as a camera on a smart phone. The shooting by the shooting device may be: when the user starts the shooting device and turns on the camera of the shooting device to shoot.

Optionally, the shooting may be normal shooting, that is, when the shooting device receives a user's shooting operation, it takes a photo within a shooting time. The photographing may also be continuous photographing, which means: when the photographing device receives a user's continuous photographing operation, it continuously photographs at least two photos within the photographing time. For example, when a user uses a shooting device to take a group photo of multiple people, since the actions and expressions of the people cannot be unified, good results may not be obtained by direct shooting; photos, so users can choose the best shot from multiple bursts of photos.

The jitter parameter is a parameter that reflects the jitter of the photographing device. Optionally, the jitter parameter may include a jitter frequency and/or a jitter amplitude. The shaking parameters of the shooting device can be detected by the shaking sensor provided in the shooting device. Optionally, the shaking sensor can be an attitude sensor, and the attitude information of the shooting device can be detected by the attitude sensor, and then the shooting device can be determined according to the attitude information. jitter parameters.

Exemplarily, if the photographing device is a smart phone, and a general smart phone is provided with sensors such as a gyroscope and an acceleration sensor for measuring the attitude information of the mobile phone, the position of the smart phone can be determined according to the gyroscope and/or the acceleration sensor. Jitter parameter.

S111. Acquire brightness information in a shooting range of the shooting device.

The shooting range of the shooting device is: the range of scenes that can be captured by the shooting device when shooting. Exemplarily, as shown in FIG. 2 , if the ID photo of a person 13 is being taken by the shooting device 10 , the shooting range 11 includes the person 13 and the background plate area 12 behind the person.

The brightness information may include brightness parameters collected in the shooting range, and the brightness information of the shooting range may be collected by a brightness acquisition device in the shooting device.

Optionally, the brightness information may be brightness change information. The brightness change information includes information about changes in light brightness within the shooting range within a preset time interval. For example, in the shooting range of a certain scene, the light brightness changes from a brightness value of 80 to 60 within a preset time interval, and the brightness change information includes the information that the brightness value changes from 80 to 60 within a preset time interval .

The change of the light will also cause the brightness information in the image captured by the shooting device to shoot in the shooting range to change, and the brightness change information may also include the Changes in brightness information.

The image generated by the photographing device may be: a corresponding digital image generated from the shooting range photographed by the photographing device, and the digital image may be a preview image temporarily displayed on a display device corresponding to the photographing device, or it may be The storage image stored in the storage module of the photographing device after being generated.

Optionally, the brightness information may also be ambient brightness information, and the ambient brightness information may be ambient brightness information determined according to brightness parameters corresponding to at least two preset coordinates. The preset location may be preset by the system, or set according to a user's choice. Exemplarily, if the preset position includes two preset coordinates, the two preset coordinates are respectively located at the upper end and the lower end of the digital image, and if the brightness parameter corresponding to the preset coordinates at the upper end is 80, and If the brightness parameter at the lower end is 60, it can be determined that the light source in the shooting range is located at the upper end, and the brightness in the shooting range includes upper bright and lower dark, which is used as the ambient brightness information.

S112. Determine continuous shooting parameters of the shooting according to the shaking parameter and the brightness information.

If the shooting by the shooting device in operation S110 is continuous shooting, a continuous shooting parameter of the continuous shooting is determined according to the shaking parameter and the brightness information.

If the shooting by the shooting device in operation S110 is normal shooting, adjust the shooting mode of the shooting device to continuous shooting according to the shake parameter and the brightness information, and determine the continuous shooting parameters of the continuous shooting. Exemplarily, if it is determined by the shaking parameters and the brightness information that the shooting environment of the shooting range is not ideal, the shooting mode of the shooting device may be adjusted to continuous shooting, and the continuous shooting parameters of the shooting may be determined, A better photo can be synthesized from multiple photos taken in succession.

Wherein, the continuous shooting parameters of the shooting are parameters based on which the shooting device performs continuous shooting.

The continuous shooting parameters of the shooting can be determined according to the preset continuous shooting parameter determination table, the jitter parameters and the brightness information; the preset continuous shooting parameter determination table includes the jitter parameters, brightness information and continuous shooting The mapping relationship of the parameters; therefore, the corresponding continuous shooting parameters can be determined according to the shaking parameters and the brightness change information, and used as the continuous shooting parameters for shooting by the shooting device.

Exemplarily, the corresponding shake level may be determined according to the shake parameter, and the brightness level may be determined according to the brightness information. Each shake level corresponds to a different brightness level, and each brightness level corresponds to at least one continuous shooting parameter, and then the corresponding continuous shooting parameter can be determined according to the brightness information.

Optionally, the continuous shooting parameters include the number of shots and exposure time; the continuous shooting parameters are used to make the shooting device take the number of images according to the exposure time within the shooting time, and according to the collected The target image is synthesized from the captured number of images.

The number of shots is the number of shots to be taken for continuous shooting within the shooting time; the exposure time is the exposure time used for shooting a single photo in the continuous shooting; the shooting of all photos in the continuous shooting can be taken the same exposure time. It is also possible to use a corresponding exposure time according to the time point corresponding to each photo.

The exposure time is the time when the shutter is opened when the camera is shooting; when the shutter is opened, the light from the outside can be projected onto the photosensitive surface of the photosensitive material of the camera, so the exposure time will affect the imaging effect of the camera; and for different A clearer photo can be obtained by choosing an appropriate exposure time for the scene. Generally speaking, in the case of poor light, a longer exposure time can be used to allow more light from the outside to enter the photosensitive surface of the photosensitive material of the camera device, so that the brightness value of the formed image can be improved, and a better image can be obtained. Clear picture. Correspondingly, shorter exposure times can be used for better light conditions. On the other hand, if the camera itself is in a state of shaking when the camera is shooting, if the exposure time is too long, it will cause blurry effect in the captured image, so for the camera shaking, it is necessary Properly reduce the exposure time.

Wherein, synthesizing the target image according to the images of the captured shooting quantity can be implemented in the following manner:

Selecting a reference image from the captured images, determining a position to be corrected in the reference image, and correcting the positions to be corrected in the reference image with other images in the captured quantity, so as to obtain a target image. Wherein, the position to be corrected may include a blurred position or a position with too dark brightness, and the position to be corrected in the reference image may be determined according to an image processing technique.

According to a photo-taking optimization method provided in an embodiment of the present application, when the camera is used for shooting, determining the shaking parameters of the shooting device; obtaining brightness information in the shooting range of the shooting device; according to the shaking parameters and The brightness information determines continuous shooting parameters of the shooting. By adopting the above technical solution, the continuous shooting parameters for shooting can be determined according to the shaking parameters and the brightness change information, so that the shooting device can take better photos according to the continuous shooting parameters.

Fig. 3 is a schematic flow chart of another photo-taking optimization method provided by the embodiment of the present application. On the basis of the technical solution provided by the above-mentioned embodiment, the brightness information includes brightness change information, which is essential for obtaining the shooting range of the shooting device The operation of the brightness information in is optimized, optionally, as shown in Figure 3, the method includes:

S120. When the photographing device is used for photographing, determine a shake parameter of the photographing device.

For specific implementation manners, reference may be made to relevant descriptions above, and details are not repeated here.

S121. Determine a preset number of time points within a preset time interval, and acquire a brightness parameter in a shooting range corresponding to each time point.

S122. Determine brightness change information according to the preset number of time points and corresponding brightness parameters.

Wherein, the preset time interval may be a time interval from when the user turns on the shooting device to shoot to when the continuous shooting is performed, and the duration of the time interval may be preset. Exemplarily, it may be the time interval between when the user turns on the shooting device and presses the shutter button to the specific time point for continuous shooting, which may be 3 seconds. Determine a preset number of time points from the preset time interval, wherein the time interval between any two adjacent time points can be the same or different; the preset number and time interval can be system preset Or user settings, which are not limited here.

Obtaining the brightness parameter in the shooting range corresponding to each time point is: acquiring the brightness parameter in the shooting range at each time point. According to the preset number of time points determined within the preset interval, a preset number of brightness parameters corresponding to the time points are respectively collected, so that brightness change information can be determined according to the time points and corresponding brightness parameters. The brightness change status of the shooting scene in which the shooting device is located can be determined through the brightness change information, and further, the brightness of the shooting device when capturing and generating an image can be predicted.

Optionally, obtaining the brightness parameters in the shooting range corresponding to each time point can be implemented in the following manner: for each time point, the brightness parameters in the shooting range are collected by the brightness acquisition module of the shooting device, or according to the shooting The image formed by the shooting range of the device determines the brightness parameter.

Wherein, the brightness acquisition module may be a light sensor in the shooting device, and a general shooting device is equipped with a light sensor, which can directly collect the light conditions in the shooting scene, and then determine the brightness parameters in the shooting range.

The brightness parameter can also be determined according to the image formed by the shooting range of the shooting device; the image formed according to the shooting range of the shooting device can be: the corresponding digital image generated by the shooting range captured by the shooting device The digital image may be a preview image temporarily displayed on a display device corresponding to the shooting device, or a stored image stored in a storage module of the shooting device after generation. The formed image contains the brightness information of the image, and brightness parameters can be determined according to the formed image; the brightness information of the image can also be determined by pixel values or RGB values of pixels in the formed image.

The brightness change information may include brightness change trend information. For example, time points and corresponding brightness parameters may be fitted, and the obtained fitting function is brightness change information; the brightness change information is a functional relational expression, The functional relational expression can reflect the relationship between time and brightness parameters and the trend of brightness changes, and then can predict the brightness when taking pictures and collecting images.

S123. Determine continuous shooting parameters of the shooting according to the shaking parameter and the brightness information.

If the continuous shooting parameters for shooting are determined only based on directly collected brightness parameters and jitter parameters, the brightness information of the shooting range may have changed when the shooting device actually performs continuous shooting, which leads to unsatisfactory determined continuous shooting photos. The brightness change information can determine the brightness change status in the shooting scene where the shooting device is located, and can further predict the brightness of the shooting device when it captures and generates an image. Therefore, determining the continuous shooting parameters of the shooting device according to the combination of the brightness change information and the shaking parameters can improve the accuracy of the continuous shooting parameters.

For specific implementation manners, reference may be made to relevant descriptions above, and details are not repeated here.

In this embodiment of the present application, by determining a preset number of time points within a preset time interval, and obtaining brightness parameters in the shooting range corresponding to each time point, the brightness is determined according to the preset number of time points and corresponding brightness parameters The change information can determine the continuous shooting parameters for shooting according to the brightness change information, which can further improve the accuracy of the continuous shooting parameters and obtain better continuous shooting photos.

Fig. 4 is a schematic flow chart of another photographing optimization method provided by the embodiment of the present application. On the basis of the technical solution provided by any of the above embodiments, optionally, as shown in Fig. 4, the method includes:

S130. Determine a shaking parameter of the photographing device when photographing with the photographing device.

For specific implementation manners, reference may be made to relevant descriptions above, and details are not repeated here.

S131. Determine at least three time points within a preset time interval, and acquire a brightness parameter in a shooting range corresponding to each time point.

S132. Determine brightness change trend information according to the brightness parameters corresponding to the at least three time points.

Wherein, the brightness change trend information may include brighter brightness, lower brightness, or brightness flicker, and it may be determined that the brightness becomes brighter or darker at two time points, but if the brightness change trend information includes change information of brightness flicker , the brightness change trend cannot be accurately determined at only two time points. Therefore, determining at least three time points and according to brightness parameters corresponding to at least three time points can improve the accuracy of brightness change trend information.

S133. Determine a reference brightness parameter according to the brightness change trend information and the brightness parameters corresponding to the at least three time points.

Wherein, the brightness change trend information can reflect the relationship between time and brightness parameters, that is, it can reflect the brightness change trend, and then can predict the brightness when taking pictures and collecting images. Therefore, a reference brightness parameter may be determined according to brightness change trend information and at least three time points, where the reference brightness parameter is a brightness parameter corresponding to a specific shooting time point. The brightness change information includes a reference brightness parameter.

Exemplarily, if the preset time interval is the time interval from when the user turns on the shooting device and presses the shutter button to the time point when the shooting is performed, the at least three time points and the time point when the shooting is performed are arranged evenly. After the brightness change trend information is determined, the brightness parameter corresponding to the specific shooting time point, that is, the reference brightness parameter, may be determined according to the relationship between the at least three time points and the specific shooting time point. Wherein, the relationship between the at least three time points and the specific shooting time points may also be that the first time point is a second away from the second time point, and the second time point is 2*a seconds away from the third time point , the third time point is 3*a seconds away from the specific shooting time point; the relationship between the at least three time points and the specific shooting time point can be preset by the system or determined according to the user's selection mode, which is not limited here .

S134. Determine continuous shooting parameters of the shooting according to the shaking parameter and the reference brightness parameter.

For specific implementation manners, reference may be made to relevant descriptions above, and details are not repeated here.

In this embodiment of the present application, at least three time points are determined within a preset time interval, and the brightness parameters in the shooting range corresponding to each time point are obtained, and the brightness change trend information is determined according to the brightness parameters corresponding to the at least three time points Determining the reference brightness parameter according to the brightness change trend information and the at least three time points can improve the accuracy of the brightness change trend information and further improve the accuracy of the continuous shooting parameters.

Fig. 5 is a schematic flow chart of another photographing optimization method provided by the embodiment of the present application. On the basis of the technical solution provided by any of the above embodiments, the operation of obtaining the brightness information in the shooting range of the shooting device is carried out. Optimizing, optionally, as shown in Figure 5, the method includes:

S140. Determine a shaking parameter of the photographing device when the photographing device is used for photographing.

For specific implementation manners, reference may be made to relevant descriptions above, and details are not repeated here.

S141. Obtain brightness parameters corresponding to at least two preset coordinates respectively.

Wherein, the brightness information in the operation of acquiring the brightness information in the shooting range of the shooting device in the above embodiment includes ambient brightness information of a preset position, and the preset position includes at least two preset coordinates.

Wherein, the preset position in the shooting range is a position that can be used to measure the brightness in the shooting range, and the preset position can be: the preset coordinates on the corresponding digital image generated in the shooting range captured by the shooting device .

The ambient brightness information is information reflecting the overall brightness of the shooting range; the ambient brightness information may be determined according to brightness parameters corresponding to at least two preset coordinates. The preset location may be preset by the system, or set according to a user's choice. Exemplarily, if the preset position includes two preset coordinates, the two preset coordinates are respectively located at the upper end and the lower end of the digital image, and if the brightness parameter corresponding to the preset coordinates at the upper end is 80, and If the brightness parameter at the lower end is 60, it can be determined that the light source in the shooting range is located at the upper end, the brightness in the shooting range includes upper bright and lower dark, and the ambient brightness information includes upper bright and lower dark brightness.

The overall ambient brightness information in the shooting range can be seen according to at least two preset coordinates, and a more accurate continuous shooting parameter can be determined according to the overall ambient brightness information.

Optionally, the shooting range is evenly divided into at least two areas, and the at least two preset coordinates are equally located in the at least two areas.

Wherein, the shooting range is evenly divided into at least two areas, correspondingly, the corresponding digital image generated by the shooting range captured by the shooting device is evenly divided into at least two areas, and correspondingly at least two preset The coordinates are respectively located in at least two areas; that is, when the number of preset coordinates is not less than the number of areas, each area has at least one preset coordinate. In this way, the overall ambient brightness information of the shooting range can be determined according to the brightness parameters of at least two preset coordinates.

Exemplarily, as shown in FIG. 6, the shooting range 11 is evenly divided into 3*3 areas, that is, a total of 9 areas are included. Correspondingly, the corresponding numbers generated in the shooting range captured by the shooting device The image 14 is also evenly divided into 9 areas; meanwhile, the preset position includes 9 preset coordinates 15 , and these 9 preset coordinates are respectively set in the 9 areas in the digital image 14 . The overall ambient brightness information of the digital image 14 can be accurately determined through the brightness parameters of the nine preset coordinates. Wherein, the number of divisions of the shooting range may be determined according to a system preset or a mode selected by a user, which is not limited herein.

The brightness parameter corresponding to each preset coordinate may be respectively determined according to the image formed by the shooting range of the shooting device.

The digital image formed according to the shooting range of the shooting device may be: a corresponding digital image generated from the shooting range captured by the shooting device, and the digital image may be temporarily displayed on a display device corresponding to the shooting device The preview image may also be a stored image stored in a storage module of the photographing device after being generated.

The generated digital image includes a plurality of pixel points, and at least one of a brightness value corresponding to each pixel point, a corresponding pixel value and a corresponding RGB value. The pixel point corresponding to the preset coordinate can be determined, and the brightness value corresponding to the pixel point can be determined as the brightness parameter of the preset coordinate; the brightness of the preset coordinate can also be determined according to the pixel value or RGB value of the pixel point parameter.

S142. Determine a reference brightness parameter according to the at least two preset coordinates and the corresponding brightness parameter, and determine it as ambient brightness information.

Wherein, according to at least two preset coordinates and their corresponding brightness parameters, the brightness trend of light in the shooting range can be determined, and the reference brightness parameter can be an intermediate value determined according to the brightness trend.

Exemplarily, if the brightness parameters corresponding to the at least two preset coordinates include preset coordinates with higher brightness values and lower brightness values, then the ambient brightness information representing the shooting range is not such as the higher brightness value If it is so high, it is not as low as the lower brightness value, then the middle value between the higher brightness value and the lower brightness value can be taken as the reference brightness parameter, and the reference brightness parameter can be used to determine the ambient brightness information. The intermediate value is at least one brightness value between the higher brightness value and the lower brightness value, and a reference brightness parameter may be determined according to a preset weight value, the higher brightness value, and the lower brightness value as ambient brightness information. The preset weight value can be determined according to the brightness trend, and different brightness trends correspond to different weight values, so that accurate ambient brightness information can be obtained.

S143. Determine continuous shooting parameters of the shooting according to the shaking parameter and the ambient brightness information.

Wherein, the continuous shooting parameters of the shooting device are determined according to the combination of brightness information and jitter parameters. If the continuous shooting parameters of the shooting device are determined only based on the directly collected brightness parameters and jitter parameters of a single coordinate, the brightness parameters of a single coordinate cannot be accurate. Determining the brightness of the shooting scene may cause the determined continuous shooting parameters to be inaccurate, and unclear photos may be taken. The ambient brightness information is information reflecting the overall brightness of the shooting range; the ambient brightness information may be determined according to brightness parameters corresponding to at least two preset coordinates, so according to the ambient brightness information and the shaking parameters Combined with determining the continuous shooting parameters of the shooting, the accuracy of the continuous shooting parameters can be improved.

For specific implementation manners, reference may be made to relevant descriptions above, and details are not repeated here.

According to the embodiment of the present application, according to obtaining brightness parameters corresponding to at least two preset coordinates respectively, a reference brightness parameter is determined according to the at least two preset coordinates and corresponding brightness parameters, and determined as ambient brightness information, and according to the dithering parameters and The brightness information determines the continuous shooting parameters of the shooting, and the continuous shooting parameters of the shooting can be determined according to the shaking parameters and the ambient brightness information, so that the shooting device can take better photos according to the continuous shooting parameters.

Fig. 7 is a schematic flow chart of another photographing optimization method provided by an embodiment of the present application. On the basis of the technical solutions provided by any of the above embodiments, the operation of acquiring brightness information in the photographing range of the photographing device is carried out. Optimization, optionally, as shown in Figure 7, the method includes:

S150. Determine a shaking parameter of the photographing device when photographing with the photographing device.

For specific implementation manners, reference may be made to relevant descriptions above, and details are not repeated here.

S151. If the photographing range of the photographing device includes a human face image, determine a preset position according to the position of the human face image. Wherein, at least one preset coordinate of the preset position is located within the area of the face image, and other preset coordinates are located outside the area of the face image.

Wherein, by judging whether the digital image generated by shooting the shooting range includes a human face image, it may be determined according to the face recognition technology whether the digital image includes a human face image.

If the digital image includes a face image, the photo taken by the user is a photo of a person, and the preset position is a position for measuring the brightness in the shooting range, so when the photo taken by the user is a photo of a person, the face The brightness of the location has a great influence on the ambient brightness information of the entire photo, so the preset location can be determined according to the location of the face image.

Wherein, if the shooting range of the shooting device includes a face image, that is, when the user takes a picture of a person, the shooting range includes two areas of the face position and the background position, so at least one preset coordinate can be set In the area corresponding to the face image, and other preset coordinates are set outside the area of the face image, the brightness of the face area and the background area can be determined, and then the ambient brightness information of the entire shooting range can be accurately obtained.

For example, if it is determined according to the coordinates located in the face image area and the coordinates outside the face image area that the brightness of the area of the face image is lower than the brightness of the area outside the face image, the shooting exposure time can be correspondingly increased, In order to improve the brightness of the face image area in the digital image formed after shooting.

S152. Obtain brightness parameters corresponding to at least two preset coordinates respectively.

S153. Determine a reference brightness parameter according to the at least two preset coordinates and the corresponding brightness parameter, and determine it as ambient brightness information.

S154. Determine continuous shooting parameters of the shooting according to the shaking parameter and the brightness information.

For specific implementation manners of the above operations, reference may be made to the relevant description above, and details are not repeated here.

In the embodiment of the present application, by judging whether the shooting range of the shooting device includes a face image, and determining the preset position according to the position of the face image, the accuracy of the ambient brightness information can be further improved, and The continuous shooting parameters of the shooting can optimize the captured pictures.

Fig. 8 is a schematic flow chart of another photographing optimization method provided by an embodiment of the present application. On the basis of the technical solution provided by any of the above embodiments, optionally, as shown in Fig. 8, the method includes:

S160. Determine a shaking parameter of the photographing device when photographing with the photographing device.

S161. Acquire brightness information in a shooting range of the shooting device.

S162. Acquire the movement parameters of the object when the object in the focus area of the shooting range of the photographing device moves relatively; wherein, the focus area includes at least two objects, and the relative movement occurs between the objects relative movement.

Wherein, when the shooting device is shooting, because the shooting scene is a three-dimensional space, the distance between different objects in the shooting range and the shooting device is different, so the shooting device generally has a focus area, so that the objects in the focus area can be clearly photographed. Therefore, the object in the focus area is generally the main object in the photo that the user wants to take. The focus area may be automatically identified by the photographing device and preset by the system, or may be actively set by the user.

If the object in the focus area moves during shooting, it may also cause blurred objects in the captured photos, so it is further judged whether the object in the focus area of the shooting range moves, so that further Adjust continuous shooting parameters.

Generally, at least two objects are included in the focus area, such as the subject and the background. If the subject moves subjectively, there is relative movement between the subject and the background. And if the shooting device moves so that the object in the focus area moves in the lens, the subject and the background will move at the same time.

Therefore, it can be determined whether the object in the focus area has moved subjectively according to whether the object in the focus area has moved relatively, and then the movement parameter of the object can be determined. The moving parameter is a parameter reflecting the movement of the object in the focus area, and may be at least one of the moving speed, moving distance and moving acceleration of the object.

The continuous shooting parameters of the shooting may be determined according to a preset continuous shooting parameter determination table, the shaking parameters, the moving parameters of the object, and the brightness change information. The preset continuous shooting parameter determination table includes the mapping relationship between shaking parameters, object movement parameters, brightness change information and continuous shooting parameters; so the corresponding continuous shooting parameters can be determined according to the shaking parameters, object movement parameters and brightness change information. The shooting parameter is used as a continuous shooting parameter for shooting by the shooting device.

It should be noted that the execution order of operation S162 is not limited to what is shown in the figure, and operation S162 only needs to be executed before operation S163.

S163. Determine a reference parameter according to the shake parameter; adjust the reference parameter according to the movement parameter of the object and the brightness information to obtain continuous shooting parameters of the shooting.

Wherein, because the shake parameter of the photographing device determines the reference effect of the image captured by the photographing device. For example, if the photographing device shakes a lot, even if the objects in the photographing range do not move and there is good and stable light, unclear pictures may be taken. Therefore, firstly, the reference parameter is determined according to the shake parameter, and then the reference parameter is adjusted according to the movement parameter of the object and the brightness change information, which can improve the accuracy of the continuous shooting parameter.

According to the embodiment of the present application, when the object in the focus area of the shooting range of the shooting device moves relatively, the movement parameter of the object is obtained, and according to the shaking parameter, the movement parameter of the object and the brightness change information Determining the continuous shooting parameters of the shooting can improve the accuracy of the continuous shooting parameters according to the movement parameters of the objects in the focus area of the shooting range.

FIG. 9 is a structural block diagram of a photographing optimization device provided in an embodiment of the present application. The device can execute a photographing optimization method. As shown in FIG. 9 , the device includes:

A shaking parameter determining module 210, configured to determine the shaking parameters of the shooting device when shooting through the shooting device;

A brightness acquisition module 211, configured to acquire brightness information in the shooting range of the shooting device;

A parameter determining module 212, configured to determine continuous shooting parameters of the shooting according to the shaking parameters and the brightness information.

A photographing optimization device provided in an embodiment of the present application is determined by determining the shake parameter of the photographing device when photographing through the photographing device; acquiring brightness information in the photographing range of the photographing device; according to the shake parameter and The brightness information determines continuous shooting parameters of the shooting. By adopting the above technical solution, the continuous shooting parameters for shooting can be determined according to the shaking parameters and the brightness change information, so that the shooting device can take better photos according to the continuous shooting parameters.

Optionally, the brightness information includes brightness change information; correspondingly, the brightness acquisition module specifically includes:

A time point module, configured to determine a preset number of time points within a preset time interval, and obtain brightness parameters in the shooting range corresponding to each time point;

A time point brightness module, configured to determine brightness change information according to the preset number of time points and corresponding brightness parameters.

Optionally, the preset number is at least three, and the brightness change information includes brightness change trend information;

Correspondingly, the point-in-time brightness module is specifically used for:

Determine brightness change trend information according to the brightness parameters corresponding to the at least three time points;

determining a reference brightness parameter according to the brightness change trend information and the brightness parameters corresponding to the at least three time points;

Accordingly, the parameter determination module is specifically used for:

A continuous shooting parameter of the shooting is determined according to the shaking parameter and the reference brightness parameter.

Optionally, the brightness information includes ambient brightness information at a preset location, and the preset location includes at least two preset coordinates;

Correspondingly, the brightness acquisition module specifically includes:

A coordinate brightness acquisition module, configured to respectively acquire brightness parameters corresponding to at least two preset coordinates;

The ambient brightness determination module is configured to determine a reference brightness parameter according to the at least two preset coordinates and corresponding brightness parameters, and determine it as ambient brightness information.

Optionally, also include:

The face image module is used to determine the preset position according to the position of the face image if the face image is included in the shooting range of the shooting device before acquiring the brightness information in the shooting range of the shooting device; wherein , at least one preset coordinate of the preset position is located within the area of the face image, and other preset coordinates are located outside the area of the face image.

Optionally, the shooting range is evenly divided into at least two areas, and the at least two preset coordinates are equally located in the at least two areas.

Optionally, the continuous shooting parameters include the number of shots and exposure time; the continuous shooting parameters are used to make the shooting device take the number of images according to the exposure time within the shooting time, and according to the collected The target image is synthesized from the captured number of images.

Optionally, also include:

A relative movement module, configured to obtain the movement of the object when the object in the focus area of the shooting range of the shooting device moves relatively before determining the continuous shooting parameters of the shooting according to the shaking parameter and the brightness information parameter; wherein, at least two objects are included in the focus area, and the relative movement is the relative movement that occurs between the objects;

Accordingly, the parameter determination module is specifically used for:

determining a reference parameter according to the jitter parameter;

The reference parameter is adjusted according to the movement parameter of the object and the brightness information to obtain continuous shooting parameters of the shooting.

A storage medium containing computer-executable instructions provided by an embodiment of the present application, the computer-executable instructions are not limited to the photographing optimization operations as described above, and can also perform related operations in the photographing optimization method provided in any embodiment of the present application. operate.

The embodiment of the present application also provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute a photographing optimization method when executed by a computer processor. The method includes:

When shooting through the shooting device, determining the shaking parameters of the shooting device;

acquiring brightness information in the shooting range of the shooting device;

A continuous shooting parameter of the shooting is determined according to the shake parameter and the brightness information.

storage medium - any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media such as CD-ROMs, floppy disks or tape drives; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc. ; non-volatile memory, such as flash memory, magnetic media (eg hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. Also, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network such as the Internet. The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems connected by a network. The storage medium may store program instructions (eg embodied as computer programs) executable by one or more processors.

An embodiment of the present application provides a terminal device, in which the photographing optimization device provided in the embodiment of the present application can be integrated.

FIG. 10 is a schematic structural diagram of a terminal device provided by the embodiment of the present application. The embodiment of the present application provides a terminal device 30, including a memory 31, a processor 32, and a computer stored on the memory 31 and capable of running on the processor. program, when the processor executes the computer program, the photographing optimization method described in the foregoing embodiments is implemented. The terminal device provided in the embodiment of the present application can optimize the photographing of the terminal device according to different shooting environments.

FIG. 11 is a schematic structural diagram of a terminal device provided in an embodiment of the present application. As shown in Figure 11, the terminal device may include: a housing (not shown in the figure), a touch screen (not shown in the figure), touch keys (not shown in the figure), a memory 301, a central processing unit (Central Processing Unit, CPU) 302 (also known as processor, hereinafter referred to as CPU), a circuit board (not shown in the figure) and a power circuit (not shown in the figure). The circuit board is placed inside the space surrounded by the housing; the CPU 302 and the memory 301 are arranged on the circuit board; the power supply circuit is used to supply power to each circuit or device of the terminal device The memory 301 is used to store executable program codes; the CPU302 executes a computer program corresponding to the executable program codes by reading the executable program codes stored in the memory 301, to achieve the following steps:

When shooting through the shooting device, determining the shaking parameters of the shooting device;

acquiring brightness information in the shooting range of the shooting device;

A continuous shooting parameter of the shooting is determined according to the shake parameter and the brightness information.

The terminal device also includes: peripheral interface 303, RF (Radio Frequency, radio frequency) circuit 305, audio circuit 306, speaker 311, power management chip 308, input/output (I/O) subsystem 309, touch screen 312, other Input/control devices 310 and external ports 304 , these components communicate via one or more communication buses or signal lines 307 .

It should be understood that the illustrated terminal device 300 is only an example of a terminal device, and the terminal device 300 may have more or fewer components than those shown in the figure, and two or more components may be combined, Or can have a different component configuration. The various components shown in the figures may be implemented in hardware, software, or a combination of hardware and software including one or more signal processing and/or application specific integrated circuits.

The following describes in detail the terminal device provided in this embodiment for realizing photo-taking optimization. The terminal device takes a mobile phone as an example.

Memory 301, the memory 301 can be accessed by the CPU 302, the peripheral interface 303, etc., the memory 301 can include a high-speed random access memory, and can also include a non-volatile memory, such as one or more disk storage devices, flash memory devices , or other volatile solid-state storage devices.

Peripheral interface 303 , which can connect the input and output peripherals of the device to CPU 302 and memory 301 .

The I/O subsystem 309 , the I/O subsystem 309 can connect input and output peripherals on the device, such as a touch screen 312 and other input/control devices 310 , to the peripheral interface 303 . I/O subsystem 309 may include a display controller 3091 and one or more input controllers 3092 for controlling other input/control devices 310 . Among them, one or more input controllers 3092 receive electrical signals from or send electrical signals to other input/control devices 310, which may include physical buttons (push buttons, rocker buttons, etc.) ), dials, slide switches, joysticks, click wheels. It should be noted that the input controller 3092 can be connected to any of the following: a keyboard, an infrared port, a USB interface, and a pointing device such as a mouse.

A touch screen 312, the touch screen 312 is an input interface and an output interface between the user terminal device and the user, and displays visual output to the user, and the visual output may include graphics, text, icons, videos, and the like.

The display controller 3091 in the I/O subsystem 309 receives electrical signals from the touch screen 312 or sends electrical signals to the touch screen 312 . The touch screen 312 detects the contact on the touch screen, and the display controller 3091 converts the detected contact into an interaction with the user interface object displayed on the touch screen 312, that is, realizes human-computer interaction, and the user interface object displayed on the touch screen 312 can be a running Icons for games, icons for networking to appropriate networks, etc. It is worth noting that the device may also include an optical mouse, which is a touch-sensitive surface that does not display visual output, or that is an extension of a touch-sensitive surface formed by a touchscreen.

The RF circuit 305 is mainly used to establish communication between the mobile phone and the wireless network (that is, the network side), and realize data reception and transmission between the mobile phone and the wireless network. Such as sending and receiving short messages, e-mails, etc. Specifically, the RF circuit 305 receives and sends RF signals, which are also called electromagnetic signals, and the RF circuit 305 converts electrical signals into electromagnetic signals or converts electromagnetic signals into electrical signals, and communicates with communication networks and other devices through the electromagnetic signals to communicate. RF circuitry 305 may include known circuitry for performing these functions including, but not limited to, an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC ( COder-DECoder, Codec) Chipset, Subscriber Identity Module (Subscriber Identity Module, SIM) and so on.

The audio circuit 306 is mainly used to receive audio data from the peripheral interface 303 , convert the audio data into electrical signals, and send the electrical signals to the speaker 311 .

The speaker 311 is used to restore the voice signal received by the mobile phone from the wireless network through the RF circuit 305 into sound and play the sound to the user.

The power management chip 308 is used for power supply and power management for the hardware connected to the CPU 302 , the I/O subsystem and the peripheral interface.

The terminal device provided in the embodiment of the present application can optimize the photographing of the terminal device according to different shooting environments.

The photographing optimization device, storage medium, and terminal device provided in the above embodiments can execute the photographing optimization method provided in any embodiment of the present application, and have corresponding functional modules and beneficial effects for executing the method. For technical details not exhaustively described in the above embodiments, refer to the photographing optimization method provided in any embodiment of the present application.

Note that the above are only preferred embodiments and technical principles used in this application. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present application. Therefore, although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present application, and the present application The scope is determined by the scope of the appended claims.

Claims (11)

1. A method for photographing optimization, characterized in that, comprising: When shooting through the shooting device, determining the shaking parameters of the shooting device; acquiring brightness information in the shooting range of the shooting device; A continuous shooting parameter of the shooting is determined according to the shake parameter and the brightness information. 2. The method according to claim 1, wherein the brightness information includes brightness change information; correspondingly, obtaining the brightness information in the shooting range of the shooting device includes: Determining a preset number of time points within a preset time interval, and obtaining brightness parameters in a shooting range corresponding to each time point; Brightness change information is determined according to the preset number of time points and corresponding brightness parameters. 3. The method according to claim 2, wherein the preset number is at least three, and the brightness change information includes brightness change trend information; Correspondingly, determining brightness change information according to the preset number of time points and corresponding brightness parameters includes: Determine brightness change trend information according to the brightness parameters corresponding to the at least three time points; determining a reference brightness parameter according to the brightness change trend information and the brightness parameters corresponding to the at least three time points; Correspondingly, determining the continuous shooting parameters of the shooting according to the shaking parameters and the brightness change information includes: A continuous shooting parameter of the shooting is determined according to the shaking parameter and the reference brightness parameter. 4. The method according to claim 1, wherein the brightness information includes ambient brightness information of a preset location, and the preset location includes at least two preset coordinates; Correspondingly, acquiring the brightness information in the shooting range of the shooting device includes: Respectively acquire brightness parameters corresponding to at least two preset coordinates; A reference brightness parameter is determined according to the at least two preset coordinates and the corresponding brightness parameter, and is determined as ambient brightness information. 5. The method according to claim 4, wherein before obtaining the brightness information in the shooting range of the shooting device, further comprising: If the shooting range of the shooting device includes a human face image, then determine a preset position according to the position of the human face image; wherein, at least one preset coordinate of the preset position is located within the area of the human face image , other preset coordinates are located outside the region of the face image. 6 . The method according to claim 4 , wherein the shooting range is evenly divided into at least two areas, and the at least two preset coordinates are equally located in the at least two areas. 7. The method according to any one of claims 1 to 6, wherein the continuous shooting parameters include shooting quantity and exposure time; the continuous shooting parameters are used to make the shooting device according to the set Taking the number of images captured at the exposure time, and synthesizing a target image according to the collected images of the number of shots. 8. The method according to any one of claims 1 to 6, wherein before determining the continuous shooting parameters of the shooting according to the shaking parameters and the brightness information, further comprising: When the object in the focus area of the shooting range of the shooting device moves relatively, the movement parameter of the object is obtained; wherein, at least two objects are included in the focus area, and the relative movement is a relative movement between the objects move; Correspondingly, determining the continuous shooting parameters of the shooting according to the shaking parameters and the brightness information includes: determining a reference parameter according to the jitter parameter; The reference parameter is adjusted according to the movement parameter of the object and the brightness information to obtain continuous shooting parameters of the shooting. 9. A camera optimization device, characterized in that it comprises: A jitter parameter determination module, configured to determine the jitter parameters of the photographing device when shooting through the photographing device; a brightness acquisition module, configured to acquire brightness information in the shooting range of the shooting device; A parameter determination module, configured to determine continuous shooting parameters of the shooting according to the shaking parameters and the brightness information. 10. A computer-readable storage medium, on which a computer program is stored, characterized in that, when the program is executed by a processor, the photographing optimization method according to any one of claims 1-8 is realized. 11. A terminal device, characterized in that it includes a memory, a processor, and a computer program stored on the memory and that can be run on the processor, characterized in that, when the processor executes the computer program, the computer program according to claim 1 is realized. - The photographing optimization method described in any one of 8.