CN107995418B - Shooting method and device and mobile terminal - Google Patents

Abstract

The invention provides a shooting method, a shooting device and a mobile terminal, wherein the method comprises the following steps: when a shooting starting instruction is received, determining an optimal dimming model by analyzing a background area and a face area in an acquired real-time image frame; adjusting the brightness and the color temperature of a face region in the real-time image frame by adopting the optimal dimming model; and when a shooting ending instruction is received, saving the adjusted image set of the face area to obtain a shot image set. The problems of poor picture layering and poor shooting effect are solved, and the beneficial effects of enhancing the picture layering and the shooting effect are achieved.

Description

A shooting method, device and mobile terminal

technical field

The present invention relates to the technical field of mobile terminals, and in particular, to a photographing method, device and mobile terminal.

Background technique

With the popularization of mobile terminals, users can not only shoot still pictures through the mobile terminals, but also can shoot videos, make dynamic pictures, and other picture collections composed of multiple frames of continuous pictures.

In practical applications, when using a mobile terminal to shoot multiple frames of continuous pictures, when receiving an instruction from the user to start shooting, the camera directly captures the picture until the user sends an instruction to end the shooting, and the obtained multi-frame pictures are used as Shooting results. It can be seen that the multi-frame continuous pictures taken have not undergone any lighting processing, the picture layering is weak, and the shooting effect is poor, thereby reducing the user's photographing experience.

SUMMARY OF THE INVENTION

The shooting method, device and mobile terminal provided by the embodiments of the present invention can solve the problems of weak layering and poor shooting effect of shooting video images in the prior art.

On the one hand, an embodiment of the present invention discloses a shooting method, which is applied to a mobile terminal, including:

When a shooting start instruction is received, the optimal dimming model is determined by analyzing the background area and the face area in the acquired real-time image frame;

Using the optimal dimming model to adjust the brightness and color temperature of the face region in the real-time image frame;

When receiving the shooting end instruction, save the image set whose face area has been adjusted to obtain the shooting image set.

On the other hand, an embodiment of the present invention also discloses a photographing device, comprising:

The dimming model determination module is used to determine the optimal dimming model by analyzing the background area and the face area in the acquired real-time image frame when the shooting start instruction is received;

a brightness adjustment module, configured to use the optimal dimming model to adjust the brightness and color temperature of the face region in the real-time image frame;

The captured image saving module is used to save the image set whose face area has been adjusted to obtain the captured image set when the shooting end instruction is received.

In another aspect, an embodiment of the present invention also discloses a mobile terminal, including a processor, a memory, and a computer program stored in the memory and running on the processor, the computer program being executed by the processor When executed, the steps of the photographing method described in any one of the above are realized.

In a final aspect, an embodiment of the present invention further discloses a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the shooting described in any one of the preceding items is realized. steps of the method.

In the embodiment of the present invention, when a shooting start instruction is received, the optimal dimming model is determined by analyzing the background area and the face area in the acquired real-time image frame; The brightness and color temperature of the face area in the real-time image frame are adjusted; when the shooting end instruction is received, the adjusted image set of the face area is saved to obtain a shot image set. The problem of weak image layering and poor shooting effect is solved, and the beneficial effects of enhancing image layering and shooting effect are achieved.

The above description is only an overview of the technical solutions of the present invention, in order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand , the following specific embodiments of the present invention are given.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present invention more clearly, the following briefly introduces the drawings that are used in the description of the embodiments of the present invention. Obviously, the drawings in the following description are only some embodiments of the present invention. , for those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative labor.

FIG. 1 shows a flowchart of steps of a shooting method in Embodiment 1 of the present invention;

FIG. 1A shows a schematic diagram of a lighting effect in an embodiment of the present invention;

FIG. 1B shows a schematic diagram of a lighting effect in an embodiment of the present invention;

FIG. 1C shows a schematic diagram of a lighting effect in an embodiment of the present invention;

FIG. 1D shows a schematic diagram of a lighting effect in an embodiment of the present invention;

FIG. 2 shows a flowchart of steps of a shooting method in Embodiment 2 of the present invention;

3 shows a structural block diagram of a photographing apparatus in Embodiment 3 of the present invention;

4 shows a structural block diagram of a photographing apparatus in Embodiment 4 of the present invention;

FIG. 5 shows a schematic diagram of the hardware structure of a mobile terminal implementing various embodiments of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The following describes a shooting method, device and mobile terminal provided by the present invention in detail by listing several specific embodiments.

Example 1

Referring to FIG. 1 , a flowchart of steps of a photographing method according to Embodiment 1 of the present invention is shown, which may specifically include the following steps:

Step 101 , when a shooting start instruction is received, an optimal dimming model is determined by analyzing the background area and the face area in the acquired real-time image frame.

The embodiment of the present invention is applicable to a mobile terminal having captured pictures, videos, and dynamic pictures. The mobile terminals include but are not limited to mobile phones and tablet computers.

In the embodiment of the present invention, each image frame captured in real time can be analyzed, and the light can be adjusted, so as to ensure that each frame of image achieves the best shooting effect and sense of hierarchy. It can be understood that the embodiment of the present invention is also applicable to shooting a single image.

Specifically, for a frame of image, first, identify the face area and background area in the image; then, by analyzing the characteristics of the background area and the face area respectively, obtain the optimal dimming from the preset dimming model Model.

Among them, for the identification of the face area and the background area, the face area can be first identified through the face recognition technology, or the user can select the face area by photographing, so that other areas are used as the background area.

The characteristics of the background area and the face area include, but are not limited to: the color of the background area, the skin state, skin color, and age, gender, etc. of the face area. In the embodiment of the present invention, an optimal dimming model can be obtained through different colors, skin colors, age, and gender.

The preset dimming models include but are not limited to: Rembrandt light model, butterfly light model, shadowless light model, multi-light source model, wide and narrow light model, half-surface light model, and backlight model. Figure 1A shows the effect of lighting from the side with Rembrandt light, Figure 1B shows the effect of lighting with butterfly light, and Figures 1C and 1D are images after lighting. It can be seen from this that after lighting, the pictures of each shot have a stronger sense of hierarchy and better shooting effects.

Step 102, using the optimal dimming model to adjust the brightness and color temperature of the face region in the real-time image frame.

The embodiment of the present invention enhances the sense of hierarchy and the shooting effect of the face region by separately lighting the face region.

Specifically, the brightness and color temperature of each pixel in the face area are adjusted according to the specified model.

The brightness of each pixel presents the brightness of the image, and the embodiment of the present invention can make the image present a better visual effect by adjusting the brightness of the pixels at different positions. For example, as shown in Figure 1A, lighting from the right side reduces the brightness of the face on the left side to improve the visual effect. For another example, as shown in FIG. 1B , the brightness under the nose, around the eyes, and the neck is reduced, and the brightness in front of the face, forehead, and chin is increased, thereby improving the visual effect.

Color temperature is a unit of measurement that expresses the color components contained in light. Theoretically, color temperature refers to the color of an absolute black body when it is heated from absolute zero (-273°C). The black body gradually changes from black to red, then to yellow, then to white, and finally to blue after being heated. When heated to a certain temperature, the spectral composition of the light emitted by the black body is called the color temperature at this temperature, and the unit of measurement is "K" (Kelvin). If the light emitted by a light source has the same spectral components as the light emitted by a black body at a certain temperature, it is called a certain K color temperature. For example, the color of the light emitted by a 100W light bulb is the same as the color of an absolute black body at 2527K, then The color temperature of the light emitted by this bulb is 527K+273K=2800K. In the embodiment of the present invention, the color temperature can be adjusted so that the image presents a better visual effect. For example, using warm light in some scenes can give the image a warm, cozy effect, while using cool light in some scenes can render a bleak, tragic effect.

Step 103 , when receiving the shooting end instruction, save the image set whose face area has been adjusted to obtain the shooting image set.

In the embodiment of the present invention, the set of illuminated images passing through the face area is used as the set of captured images, so that the captured videos, dynamic images, etc. exhibit a better capturing effect, which improves the user's enthusiasm for capturing.

In the embodiment of the present invention, when a shooting start instruction is received, the optimal dimming model is determined by analyzing the background area and the face area in the acquired real-time image frame; The brightness and color temperature of the face area in the real-time image frame are adjusted; when the shooting end instruction is received, the adjusted image set of the face area is saved to obtain a shot image set. The problem of weak image layering and poor shooting effect is solved, and the beneficial effects of enhancing image layering and shooting effect are achieved.

Embodiment 2

Referring to FIG. 2, a flowchart of steps of a shooting method according to Embodiment 2 of the present invention is shown, which may specifically include the following steps:

In step 201, an image frame is acquired in real time, and a face area and a background area in the image frame are determined.

In the embodiment of the present invention, different dimming models can be used to perform brightness processing on each image frame.

Specifically, first, the face region is determined; then, other regions than the face region are used as the background region. Wherein, the face area can be obtained through face recognition and/or user designation.

In the actual shooting process, the user can specify the target area by clicking or other operations, so that the mobile terminal can perform special processing according to the target area specified by the user. In this embodiment of the present invention, the mobile terminal may perform lighting processing according to the face area designated by the user.

Optionally, in another embodiment of the present invention, step 201 includes sub-steps 2011 to 2012:

Sub-step 2011, performing face recognition on the image frame to obtain a face region.

In practical applications, the facial region can be determined by detecting the facial feature points. The facial feature points include but are not limited to facial features and facial contour points.

Sub-step 2012, determining a background area according to the face area.

Specifically, the area outside the face area is taken as the background area.

Optionally, in another embodiment of the present invention, step 201 includes sub-steps 2013 to 2014:

Sub-step 2013, receiving the user's operation of determining the face area in the image frame, and obtaining the face area.

In practical applications, when the user selects a point in a frame of image, it can spread to the surrounding area based on the point to determine the face area; when the user selects an area, the area can be directly used as the face area .

Sub-step 2014, determining a background area according to the face area.

For this step, reference may be made to the detailed description of sub-step 2012, which will not be repeated here.

Step 202: Determine the target attributes of the background area and the face area, respectively.

The target attributes include, but are not limited to, the color of the background area, the direction of the light source, the orientation of the face, the skin color of the face, and the like. Thus, the optimal lighting model can be determined according to these target properties.

Step 203: Determine an optimal dimming model from the saved optimal dimming model list according to the target attributes of the background area and the face area.

Specifically, the target attribute corresponding to each dimming model can be pre-determined through experiments, and then the dimming model is determined according to the target attribute of the current shooting scene.

For example, for the butterfly light dimming model, the target attribute of the corresponding face is the frontal orientation, so when the detected face orientation is frontal, the butterfly light dimming model can be selected.

Step 204, using the optimal dimming model to adjust the brightness and color temperature of the face region in the real-time image frame.

For this step, reference may be made to the detailed description of step 102, which will not be repeated here.

Step 205, using the dimming model selected by the user for the real-time image frame, to adjust the brightness and color temperature of the face region in the real-time image frame.

The embodiment of the present invention provides that the user can modify the optimal dimming model according to their preferences. Specifically, after the automatic dimming is performed, each dimming model is displayed on the shooting interface, and after the user clicks one of the dimming models, the face region is processed by using the dimming model.

Step 206: Determine the target attribute of the background area in the real-time image frame, and save the target attribute and the dimming model corresponding to the optimal dimming model list.

In the embodiment of the present invention, the dimming model selected by the user for a shooting scene can be recorded as the optimal dimming model of the shooting scene, so that the optimal dimming model is automatically used for the next shooting of a similar shooting scene. face area for processing.

Step 207 , when receiving the shooting end instruction, save the image set whose face area has been adjusted to obtain the shooting image set.

For this step, reference may be made to the detailed description of step 103, which is not repeated here.

In the embodiment of the present invention, when a shooting start instruction is received, the optimal dimming model is determined by analyzing the background area and the face area in the acquired real-time image frame; The brightness and color temperature of the face area in the real-time image frame are adjusted; when the shooting end instruction is received, the adjusted image set of the face area is saved to obtain a shot image set. The problem of weak image layering and poor shooting effect is solved, and the beneficial effects of enhancing image layering and shooting effect are achieved. Additionally, the charging port can be secured with a safety check or grounding the charging port.

Embodiment 3

Referring to FIG. 3 , a structural block diagram of a photographing apparatus according to Embodiment 3 of the present invention is shown.

The photographing device 300 includes: a dimming model determination module 301 , a brightness adjustment module 302 , and a captured image saving module 303 .

The functions of each module and the interaction between the modules are described in detail below.

The dimming model determination module 301 is configured to determine the optimal dimming model by analyzing the background area and the face area in the acquired real-time image frame when receiving the shooting start instruction;

a brightness adjustment module 302, configured to adjust the brightness and color temperature of the face region in the real-time image frame by using the optimal dimming model;

The captured image saving module 303 is configured to save a set of images whose face regions have been adjusted to obtain a set of captured images when a shooting end instruction is received.

In the embodiment of the present invention, when a shooting start instruction is received, the optimal dimming model is determined by analyzing the background area and the face area in the acquired real-time image frame; The brightness and color temperature of the face area in the real-time image frame are adjusted; when the shooting end instruction is received, the adjusted image set of the face area is saved to obtain a shot image set. The problem of weak image layering and poor shooting effect is solved, and the beneficial effects of enhancing image layering and shooting effect are achieved.

Embodiment 3 is an apparatus embodiment corresponding to method embodiment 1. For detailed description, reference may be made to embodiment 1, which will not be repeated here.

Embodiment 4

Referring to FIG. 4 , a structural block diagram of a photographing apparatus according to Embodiment 4 of the present invention is shown.

The photographing device 400 includes: a dimming model determination module 401 , a brightness adjustment module 402 , a user adjustment module 403 , a user model storage module 404 , and a captured image storage module 405 .

The functions of each module and the interaction between the modules are described in detail below.

The dimming model determination module 401 is used to determine the optimal dimming model by analyzing the background area and the face area in the acquired real-time image frame when receiving the shooting start instruction; optionally, in the implementation of the present invention In an example, the above-mentioned dimming model determination module 401 includes:

The region determination sub-module 4011 is used to acquire an image frame in real time, and determine the face region and background region in the image frame.

The target attribute determination sub-module 4012 is used for respectively determining the target attributes of the background area and the face area.

The dimming model determination sub-module 4013 is configured to determine the optimal dimming model according to the target attributes of the background area and the face area.

Optionally, in another embodiment of the present invention, the above-mentioned area determination submodule 4011 includes:

The face area determination unit is used for performing face recognition on the image frame to obtain the face area.

The background area determination unit is configured to determine the background area according to the face area.

The brightness adjustment module 402 is configured to use the optimal dimming model to adjust the brightness and color temperature of the face region in the real-time image frame.

The user adjustment module 403 is configured to use the dimming model selected by the user for the real-time image frame to adjust the brightness and color temperature of the face region in the real-time image frame.

The user model saving module 404 is configured to determine the target attribute of the background area in the real-time image frame, and save the target attribute and the dimming model corresponding to the optimal dimming model list.

The captured image saving module 405 is configured to save a set of images whose face area has been adjusted to obtain a set of captured images when receiving a shooting end instruction.

In the embodiment of the present invention, when a shooting start instruction is received, the optimal dimming model is determined by analyzing the background area and the face area in the acquired real-time image frame; The brightness and color temperature of the face area in the real-time image frame are adjusted; when the shooting end instruction is received, the adjusted image set of the face area is saved to obtain a shot image set. The problem of weak image layering and poor shooting effect is solved, and the beneficial effects of enhancing image layering and shooting effect are achieved. Additionally, the charging port can be secured with a safety check or grounding the charging port.

The fourth embodiment is an apparatus embodiment corresponding to the second method embodiment. For a detailed description, reference may be made to the second embodiment, which will not be repeated here.

Embodiment 5

5 is a schematic diagram of the hardware structure of a mobile terminal for implementing various embodiments of the present invention. The mobile terminal 500 includes but is not limited to: a radio frequency unit 501, a network module 502, an audio output unit 503, an input unit 504, a sensor 505, and a display unit 506 , a user input unit 507 , an interface unit 508 , a memory 509 , a processor 510 , and a power supply 511 and other components. Those skilled in the art can understand that the structure of the mobile terminal shown in FIG. 5 does not constitute a limitation on the mobile terminal, and the mobile terminal may include more or less components than the one shown, or combine some components, or different components layout. In this embodiment of the present invention, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.

The processor 510 is configured to determine an optimal dimming model by analyzing the background area and the face area in the acquired real-time image frame when receiving the shooting start instruction; using the optimal dimming model for the The brightness and color temperature of the face area in the real-time image frame are adjusted; when a shooting end instruction is received, the adjusted image set of the face area is saved to obtain a shot image set.

It can be seen that, in the embodiment of the present invention, when a shooting start instruction is received, the optimal dimming model is determined by analyzing the background area and the face area in the acquired real-time image frame; the optimal dimming model is adopted. Adjust the brightness and color temperature of the face area in the real-time image frame; when receiving the shooting end instruction, save the adjusted image set of the face area to obtain a shot image set. The problem of weak image layering and poor shooting effect is solved, and the beneficial effects of enhancing image layering and shooting effect are achieved.

It should be understood that, in this embodiment of the present invention, the radio frequency unit 501 can be used for receiving and sending signals during sending and receiving of information or during a call. Specifically, after receiving the downlink data from the base station, it is processed by the processor 510; The uplink data is sent to the base station. Generally, the radio frequency unit 501 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 501 can also communicate with the network and other devices through a wireless communication system.

The mobile terminal provides the user with wireless broadband Internet access through the network module 502, such as helping the user to send and receive emails, browse web pages, access streaming media, and the like.

The audio output unit 503 may convert audio data received by the radio frequency unit 501 or the network module 502 or stored in the memory 509 into audio signals and output as sound. Also, the audio output unit 503 may also provide audio output related to a specific function performed by the mobile terminal 500 (eg, call signal reception sound, message reception sound, etc.). The audio output unit 503 includes a speaker, a buzzer, a receiver, and the like.

The input unit 504 is used to receive audio or video signals. The input unit 504 may include a graphics processor (Graphics Processing Unit, GPU) 5041 and a microphone 5042, and the graphics processor 5041 is used for still pictures or video images obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode data is processed. The processed image frames may be displayed on the display unit 506 . The image frames processed by the graphics processor 5041 may be stored in the memory 509 (or other storage medium) or transmitted via the radio frequency unit 501 or the network module 502 . The microphone 5042 can receive sound and can process such sound into audio data. The processed audio data can be converted into a format that can be transmitted to a mobile communication base station via the radio frequency unit 501 for output in the case of a telephone call mode.

The mobile terminal 500 also includes at least one sensor 505, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 5061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 5061 and the proximity sensor when the mobile terminal 500 is moved to the ear. / or backlight. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in all directions (usually three axes), and can detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of mobile terminals (such as horizontal and vertical screen switching, related games , magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; the sensor 505 may also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, Infrared sensors, etc., are not repeated here.

The display unit 506 is used to display information input by the user or information provided to the user. The display unit 506 may include a display panel 5061, and the display panel 5061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 507 may be used to receive input numerical or character information, and generate key signal input related to user settings and function control of the mobile terminal. Specifically, the user input unit 507 includes a touch panel 5071 and other input devices 5072 . The touch panel 5071, also referred to as a touch screen, can collect the user's touch operations on or near it (such as the user's finger, stylus, etc., any suitable object or accessory on or near the touch panel 5071). operate). The touch panel 5071 may include two parts, a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and then sends it to the touch controller. To the processor 510, the command sent by the processor 510 is received and executed. In addition, the touch panel 5071 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic waves. In addition to the touch panel 5071 , the user input unit 507 may also include other input devices 5072 . Specifically, other input devices 5072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here.

Further, the touch panel 5071 can be covered on the display panel 5061. When the touch panel 5071 detects a touch operation on or near it, it transmits it to the processor 510 to determine the type of the touch event, and then the processor 510 determines the type of the touch event according to the touch The type of event provides a corresponding visual output on display panel 5061. Although in FIG. 5, the touch panel 5071 and the display panel 5061 are used as two independent components to realize the input and output functions of the mobile terminal, in some embodiments, the touch panel 5071 and the display panel 5061 may be integrated The input and output functions of the mobile terminal are implemented, which is not specifically limited here.

The interface unit 508 is an interface for connecting an external device to the mobile terminal 500 . For example, external devices may include wired or wireless headset ports, external power (or battery charger) ports, wired or wireless data ports, memory card ports, ports for connecting devices with identification modules, audio input/output (I/O) ports, video I/O ports, headphone ports, and more. The interface unit 508 may be used to receive input (eg, data information, power, etc.) from an external device and transmit the received input to one or more elements within the mobile terminal 500 or may be used between the mobile terminal 500 and the external Transfer data between devices.

The memory 509 may be used to store software programs as well as various data. The memory 509 may mainly include a stored program area and a stored data area, wherein the stored program area may store an operating system, an application program (such as a sound playback function, an image playback function, etc.) required for at least one function, and the like; Data created by the use of the mobile phone (such as audio data, phone book, etc.), etc. Additionally, memory 509 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 510 is the control center of the mobile terminal, uses various interfaces and lines to connect various parts of the entire mobile terminal, runs or executes the software programs and/or modules stored in the memory 509, and calls the data stored in the memory 509. , perform various functions of the mobile terminal and process data, so as to monitor the mobile terminal as a whole. The processor 510 may include one or more processing units; preferably, the processor 510 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, etc., and the modem The processor mainly handles wireless communication. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 510.

The mobile terminal 500 may also include a power supply 511 (such as a battery) for supplying power to various components. Preferably, the power supply 511 may be logically connected to the processor 510 through a power management system, so as to manage charging, discharging, and power consumption management through the power management system. and other functions.

In addition, the mobile terminal 500 includes some functional modules not shown, which will not be repeated here.

Preferably, an embodiment of the present invention further provides a mobile terminal, including a processor 510, a memory 509, and a computer program stored in the memory 509 and running on the processor 510, when the computer program is executed by the processor 510 The various processes of the above-mentioned embodiments of the shooting method are implemented, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.

Embodiments of the present invention further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, each process of the above-mentioned embodiments of the shooting method can be realized, and the same technical effect can be achieved. , in order to avoid repetition, it will not be repeated here. The computer-readable storage medium is, for example, a read-only memory (Read-Only Memory, ROM for short), a random access memory (Random Access Memory, RAM for short), a magnetic disk, or an optical disk.

It should be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, It also includes other elements not expressly listed or inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

From the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is better implementation. Based on this understanding, the technical solutions of the present invention can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products are stored in a storage medium (such as ROM/RAM, magnetic disk, CD), including several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of the present invention.

The embodiments of the present invention have been described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific embodiments, which are merely illustrative rather than restrictive. Under the inspiration of the present invention, without departing from the spirit of the present invention and the scope protected by the claims, many forms can be made, which all belong to the protection of the present invention.

Claims (9)

1. A shooting method is applied to a mobile terminal, and is characterized by comprising the following steps:

when a shooting starting instruction is received, determining an optimal dimming model by analyzing a background area and a face area in an acquired real-time image frame;

adjusting the brightness and the color temperature of a face region in the real-time image frame by adopting the optimal dimming model;

when a shooting ending instruction is received, saving the adjusted image set of the face area to obtain a shot image set; the step of determining the optimal dimming model by analyzing the background region and the face region in the acquired real-time image frame includes:

acquiring an image frame in real time, and determining a face area and a background area in the image frame;

respectively determining the target attributes of the background area and the face area;

determining an optimal dimming model according to the target attributes of the background area and the face area;

wherein the target attributes comprise the color of the background area, the light source direction, the face orientation and the face skin color;

wherein the adjusting the brightness of the face region in the real-time image frame by using the optimal dimming model comprises: adjusting pixels at different positions of the face area to different brightness according to the optimal dimming model;

wherein, the determining an optimal dimming model according to the target attributes of the background region and the face region includes: and selecting the optimal dimming model from preset dimming models according to the target attributes of the background area and the face area.

2. The method of claim 1, wherein the step of determining the face region and the background region in the image frame comprises:

carrying out face recognition on the image frame to obtain a face area;

and determining a background area according to the face area.

3. The method of claim 1, further comprising, after the step of adjusting the brightness and color temperature of the face region in the real-time image frame using the optimal dimming model:

adjusting the brightness and color temperature of a face region in the real-time image frame according to the dimming model selected by a user;

and determining a target attribute of a background area in the real-time image frame, and correspondingly storing the target attribute and the dimming model into an optimal dimming model list.

4. The method according to claim 3, wherein the step of determining an optimal dimming model according to the target attributes of the background region and the face region comprises:

and determining an optimal dimming model from a stored optimal dimming model list according to the target attributes of the background area and the face area.

5. A camera, comprising:

the dimming model determining module is used for determining an optimal dimming model by analyzing a background area and a face area in the acquired real-time image frame when a shooting starting instruction is received;

the brightness adjusting module is used for adjusting the brightness and the color temperature of the face area in the real-time image frame by adopting the optimal dimming model;

the shot image storage module is used for storing the adjusted image set of the face area when a shooting ending instruction is received to obtain a shot image set; wherein the dimming model determination module comprises:

the area determination submodule is used for acquiring an image frame in real time and determining a face area and a background area in the image frame;

the target attribute determining submodule is used for respectively determining the target attributes of the background area and the face area;

the dimming model determining submodule is used for determining an optimal dimming model according to the target attributes of the background area and the face area;

wherein the target attributes comprise the color of the background area, the light source direction, the face orientation and the face skin color;

the brightness adjusting module is specifically configured to: adjusting pixels at different positions of the face area to different brightness according to the optimal dimming model;

the dimming model determining submodule is specifically configured to select the optimal dimming model from preset dimming models according to the target attributes of the background region and the face region.

6. The apparatus of claim 5, wherein the region determination submodule comprises:

the face area determining unit is used for carrying out face recognition on the image frame to obtain a face area;

and the background area determining unit is used for determining a background area according to the face area.

7. The apparatus of claim 5, further comprising:

the user adjusting module is used for adjusting the brightness and the color temperature of the face area in the real-time image frame by adopting a dimming model selected by a user;

and the user model storage module is used for determining the target attribute of the background area in the real-time image frame and correspondingly storing the target attribute and the dimming model into an optimal dimming model list.

8. The apparatus of claim 7, wherein the dimming model determination submodule comprises:

and the dimming model determining unit is used for determining an optimal dimming model from the stored optimal dimming model list according to the target attributes of the background area and the face area.

9. A mobile terminal, characterized in that it comprises a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the photographing method according to any of claims 1 to 4.

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