CN106657793A - Image processing method and mobile terminal - Google Patents

Abstract

The invention provides an image processing method and a mobile terminal, and relates to the technical field of communication. The image processing method includes: receiving an operation instruction input by the user to adjust the image of at least one first image; according to the operation instruction, obtaining adjustment parameter information after the user performs image adjustment on the second image, wherein the first At least one image attribute of the image is the same as that of the second image; image adjustment is performed on the first image according to the adjustment parameter information to obtain a target image. The solution of the present invention solves the problem that the image obtained by the beautification processing of the existing camera is processed with the same parameters, which is poor in pertinence, and the user needs to manually adjust the parameters in the later stage, which is cumbersome to operate.

Description

Image processing method and mobile terminal

technical field

The present invention relates to the field of communication technology, in particular to an image processing method and a mobile terminal.

Background technique

With the development of mobile terminal technology, the functions of mobile terminals are becoming more and more diverse, and have been applied to all aspects of people's lives. Especially in view of the portability and multi-functionality of the mobile terminal, more and more people begin to choose the mobile terminal to take pictures. Therefore, many manufacturers have added image beautification functions to cameras of mobile terminals to satisfy users' pursuit of shooting effects.

However, the image beautification function in the camera, after completing a parameter adjustment, the captured images are all processed with the same parameters, which is poorly targeted, and the user needs to manually adjust the parameters in the later stage, which is cumbersome to operate.

Contents of the invention

Embodiments of the present invention provide an image processing method and a mobile terminal to solve the problem that the image obtained by the existing camera beautification process is processed by the same parameters, which is poorly targeted, and the user needs to manually adjust the parameters in the later stage, and the operation is cumbersome.

In a first aspect, an embodiment of the present invention provides an image processing method, including:

receiving an operation instruction input by a user to perform image adjustment on at least one first image;

According to the operation instruction, obtain adjustment parameter information after the user performs image adjustment on the second image, wherein at least one image attribute of the first image is the same as that of the second image;

Image adjustment is performed on the first image according to the adjustment parameter information to obtain a target image.

In a second aspect, embodiments of the present invention provide a mobile terminal, including:

A first receiving module, configured to receive an operation instruction input by a user to perform image adjustment on at least one first image;

The first acquisition module is configured to acquire adjustment parameter information after the user performs image adjustment on the second image according to the operation instruction, wherein at least one image attribute of the first image is the same as that of the second image;

A processing module, configured to perform image adjustment on the first image according to the adjustment parameter information to obtain a target image.

The beneficial effects of above-mentioned technical scheme of the present invention are as follows:

In the image processing method of the embodiment of the present invention, by receiving an operation instruction input by the user to adjust the image of at least one first image, according to the operation instruction, to obtain the adjustment parameter information after the user has adjusted the image of the second image, and to adjust the second image. Image adjustment is performed on an image to obtain a target image. Since at least one image attribute of the first image and the second image is the same, targeted processing of images with the same image attribute is realized to meet user needs without manual adjustment, which is more convenient and quicker.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments of the present invention. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained based on these drawings without any creative effort.

FIG. 1 is a first schematic flow diagram of an image processing method according to a first embodiment of the present invention;

FIG. 2 is a second schematic flow diagram of the image processing method according to the first embodiment of the present invention;

FIG. 3 is a third schematic flow diagram of the image processing method according to the first embodiment of the present invention;

FIG. 4 is a fourth schematic flow diagram of the image processing method according to the first embodiment of the present invention;

FIG. 5 is a first schematic structural diagram of a mobile terminal according to a second embodiment of the present invention;

FIG. 6 is a second structural schematic diagram of a mobile terminal according to a second embodiment of the present invention;

FIG. 7 is a third schematic structural diagram of a mobile terminal according to a second embodiment of the present invention;

FIG. 8 is a schematic structural diagram of a mobile terminal according to a third embodiment of the present invention;

FIG. 9 is a schematic structural diagram of a mobile terminal according to a fourth embodiment of the present invention.

detailed description

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

first embodiment

As shown in Figure 1, the image processing method of the first embodiment of the present invention includes:

Step 101 , receiving an operation instruction input by a user to perform image adjustment on at least one first image.

In this step, after the user inputs an operation to start image adjustment to trigger the operation instruction, the mobile terminal receives the operation instruction to perform subsequent steps to perform image adjustment on at least one first image.

Step 102, according to the operation instruction, obtain adjustment parameter information after the user performs image adjustment on the second image, wherein at least one image attribute of the first image is the same as that of the second image.

In this step, according to the operation instruction received in step 101, the adjustment parameter information after the user performs image adjustment on the second image will be obtained as the basis for subsequent image adjustment. Of course, at least one of the second image and the first image The image properties are the same.

Step 103, performing image adjustment on the first image according to the adjustment parameter information to obtain a target image.

In this step, according to the adjustment parameter information obtained in step 102, image adjustment is performed on the first image to obtain a target image. In this way, since the first image and the second image have at least one identical image attribute, according to the adjustment parameter information used by the user to adjust the second image, the target image obtained after image adjustment on the first image will be more targeted, To meet the needs of users, there is no need for manual adjustment, which is more convenient and quick.

For example, for multiple photos taken by the user near a building, due to the influence of the surrounding environment, the brightness needs to be adjusted due to insufficient light. Through the image processing method of the first embodiment of the present invention, after receiving the operation instruction, the user only needs to manually adjust the brightness. Adjust the brightness (adjustment parameter information) of at least one of the images (second image), and then adjust the brightness of other images (first image) according to the brightness information manually adjusted by the user on the second image, so that in the building Multiple photos taken nearby achieved the desired image brightness. Here, the same image attribute of the first image and the second image is the shooting location.

It should be understood that, in this embodiment, the image attributes include shooting geographic location, shooting time and/or image subject type.

In the above example, the same image attribute of the first image and the second image is the shooting geographic location. Of course, in other applications, it can also be the shooting time, or the image subject type (such as portrait, object image or Scenery, etc.), and others, the content of specific image attributes can be defined by the system, and will not be listed here. After the image is captured, the image attributes corresponding to the image will be automatically recorded.

In addition, it should be understood that the operation instruction in this embodiment is often triggered by a preset triggering manner. The triggering mode of the operation instruction described here may be triggered by physical buttons or virtual buttons, and may also be triggered by biometric technology, such as: voice, touch, infrared, gesture and other ways. Taking physical button triggering as an example, a single physical button can be used for triggering, or a combination of multiple physical buttons can be used for triggering. For example: when a gesture triggering method is adopted, when a preset gesture command (such as "slide on the display screen to write out a predetermined letter P") is detected.

When the operation instruction is triggered, for the scene where the user has selected the first image to be processed in the photo album, specifically, as shown in FIG. 2 , step 102 includes:

Step 102a1, according to the first image selected by the operation instruction, determine the first image attribute of the first image.

In this step, according to the first image selected by the user corresponding to the operation instruction, the first image attribute of the first image is determined first, so as to perform the next step of selecting a second image with at least one image attribute identical to the first image. Wherein, if the first image is only an image, considering that there are many types of image attributes, the first image attribute can be a specific image attribute preset by the mobile terminal or a user-defined selection among multiple image attributes; if the second If there are multiple images, it is determined that a specific image attribute that is a common image attribute for these images is the first image attribute, that is to say, the first image attributes of the multiple images that are the first image are the same.

Step 102a2, according to the first image attribute, select a first preset number of second images having the first image attribute from the adjusted images.

In this step, the second image is selected from the adjusted images according to the first image attribute determined in step 1021a1. Wherein, the number of images selected as the second image is determined by the first preset number, and the second image also has the first image attribute determined in step 1021a1.

Step 102a3, acquiring the adjustment parameter information of the selected second image.

In this step, after the selection of the second image is completed in step 102a2, the adjustment parameter information corresponding to the second image is acquired. Wherein, the adjustment parameter information is recorded when the second image is adjusted.

In this way, through steps 102a1-102a3, after the user selects the first image, the first image attribute of the first image can be determined first; then, according to the first image attribute, the first preset is selected in the adjusted image A number of second images having attributes of the first image; then, acquiring adjustment parameter information corresponding to the second image, so as to perform image adjustment on the first image according to the adjustment parameter information.

Wherein, when the first preset number is 1, only the adjustment parameter information of one image can be obtained, and when step 103 is executed, the first image can be adjusted according to the specific adjustment parameter type and corresponding parameter value in the adjustment parameter information , the adjustment parameter types include brightness, contrast, saturation, etc.

However, when the first preset number is greater than 1, further specifically, as shown in FIG. 3, step 103 includes:

Step 1031, if the second image is a plurality of images, determine a common adjustment parameter type for image adjustment of the second image according to the adjustment parameter information.

In this step, for the second image including a plurality of images, the common adjustment parameter type for image adjustment of the plurality of images is firstly determined according to the previously obtained adjustment parameter information.

For example, when the first preset number is 3, the selected second image having the same first image attribute as the first image includes image A, image B, and image C, and the adjustment of the corresponding image A is known from its adjustment parameter information There are 6 parameter types, 5 adjustment parameter types corresponding to image B, and 6 adjustment parameter types corresponding to image C. According to this step, first determine the public adjustment parameter types for image adjustment of image A, image B, and image C, assuming that image A, image B, and image C have all adjusted brightness, contrast, and saturation, then determine brightness, contrast, and Saturation is a common tuning parameter type.

Step 1032, acquiring parameter values corresponding to each of the public adjustment parameter types.

In this step, after the public adjustment parameter type is determined in step 1031, the parameter value corresponding to each public adjustment parameter type will be further obtained.

Step 1033: Perform image adjustment on the first image according to the public adjustment parameter type and the parameter value to obtain a target image.

In this step, the public adjustment parameter type is determined according to step 1031 and the parameter value obtained in step 1032 is used to perform image adjustment on the first image to obtain a target image. Continuing the above example, the brightness, contrast and saturation of the first image will be adjusted, and the specific adjustment parameter value is to obtain the parameter value corresponding to the public adjustment parameter type.

Therefore, through steps 1031-1033, when the second image includes multiple images, the common adjustment parameter type and the corresponding parameter value of the multiple images will be selected to perform image adjustment on the first image to achieve more optimization, Reasonable image adjustment to get a better target image.

However, when multiple parameter values corresponding to a common adjustment parameter type are obtained, for example, the parameter value of image A to adjust brightness is +5%, the parameter value of image B to adjust brightness is +2%, and the parameter value of image C brightness is +2%. The parameter value is +2%, and the parameter value for adjusting the brightness of the first image cannot be specified. Therefore, preferably, step 1033 includes:

According to the parameter value, determine the parameter mean value corresponding to each of the common adjustment parameter types as the target adjustment value;

Adjusting the parameter value of the common adjustment parameter type of the first image to the target adjustment value.

In this way, after the parameter mean value corresponding to the common adjustment parameter type is obtained through calculation, the parameter mean value is used as the target adjustment value, and then the parameter value of the common adjustment parameter type of the first image is adjusted to the target adjustment value. For example, to obtain the brightness parameter values +5%, +2% and +2%, calculate the corresponding That is, the brightness of the first image can be adjusted by +3%. The parameter values of other public adjustment parameter types are the same, and will not be repeated here.

In addition, when the operation instruction is triggered, if the user does not select the first image, only the image processing is started. At this time, specifically, as shown in FIG. 4 , in this embodiment, step 102 includes:

Step 102b1, according to the operation instruction, determine the second image selected by the user.

In this step, according to the operation instruction received in step 101, the second image selected by the user for image adjustment is firstly determined.

Step 102b2, recording adjustment parameter information for image adjustment performed by the user on the second image.

In this step, adjustment parameter information for image adjustment performed by the user on the second image is recorded. In this way, after step 102b1 and step 102b2, after the user selects the second image, the user can manually adjust the image on the second image to a satisfactory degree, and then record the adjustment parameter information for use in the adjustment of the first image, satisfying User requirements for image effects.

Certainly, since the first image is not selected in the operation instruction, after the adjustment parameter information is recorded and before step 103, it also includes:

acquiring a second image attribute of the second image;

According to the second image attribute, a second preset number of first images having the second image attribute are selected among the images to be processed.

Before step 103, by acquiring the second image attribute of the second image, the first image is selected from the images to be processed, the number of images of the first image is the second preset number, and the first image has the same The image has the same attributes as the second image. In this way, after the user manually adjusts the second image, the image adjustment of the first image of the same type as the second image in the image to be processed is realized, so that the adjusted target image will be more targeted and meet the needs of the user without further processing. Manual adjustment is more convenient and quick.

It should be known that after image adjustment is performed on the first image, if all the obtained target images are stored, it will take up a relatively large storage space. Therefore, on the basis of the above-mentioned embodiments of the present invention, after step 103, further include:

displaying the target image on a preset preview interface;

receiving a selection and saving instruction input by the user on the preview interface;

storing the target image corresponding to the selection and saving instruction.

In this way, the target image that has completed the image adjustment is displayed on the preset preview interface for the user to select the image that needs to be saved. After receiving the selection save instruction, only the picture that should be selected for the save instruction is saved, reducing the storage space. Necessary occupancy improves the effective utilization of storage space.

To sum up, the image processing method of the first embodiment of the present invention receives an operation instruction input by the user to adjust the image of at least one first image, and according to the operation instruction, obtains the image adjustment operation of the second image by the user. The adjustment parameter information is used to perform image adjustment on the first image to obtain the target image. Since at least one image attribute of the first image and the second image is the same, targeted processing of images with the same image attribute is realized to meet user needs without manual adjustment, which is more convenient and quicker.

second embodiment

FIG. 5 is a block diagram of a mobile terminal according to one embodiment of the present invention. The mobile terminal 500 shown in FIG. 5 includes a first receiving module 501 , a first acquiring module 502 and a processing module 503 .

The first receiving module 501 is configured to receive an operation instruction input by a user to perform image adjustment on at least one first image;

The first obtaining module 502 is configured to obtain adjustment parameter information after the user performs image adjustment on the second image according to the operation instruction, wherein at least one image attribute of the first image is the same as that of the second image;

The processing module 503 is configured to perform image adjustment on the first image according to the adjustment parameter information to obtain a target image.

On the basis of FIG. 5, optionally, as shown in FIG. 6, the first obtaining module 502 includes:

The first determination sub-module 5021 is configured to determine the first image attribute of the first image according to the first image selected by the operation instruction;

A selection submodule 5022, configured to select a first preset number of second images having the first image attribute from among the adjusted images according to the first image attribute;

The first obtaining sub-module 5023 is configured to obtain the adjustment parameter information of the selected second image.

Optionally, the processing module 503 includes:

The second determination sub-module 5031 is configured to determine, according to the adjustment parameter information, a common adjustment parameter type for image adjustment of the second image if the second image is multiple images;

The second obtaining sub-module 5032 is used to obtain the parameter value corresponding to each of the public adjustment parameter types;

The processing sub-module 5033 is configured to perform image adjustment on the first image according to the public adjustment parameter type and the parameter value to obtain a target image.

Optionally, the processing submodule 5033 includes:

A determination unit 50331, configured to determine, according to the parameter value, the mean value of the parameter corresponding to each of the common adjustment parameter types as the target adjustment value;

An adjustment unit 50332, configured to adjust the parameter value of the common adjustment parameter type of the first image to the target adjustment value.

On the basis of FIG. 5, optionally, as shown in FIG. 7, the first obtaining module 502 includes:

The third determination sub-module 5024 is configured to determine the second image selected by the user according to the operation instruction;

The recording sub-module 5025 is configured to record the adjustment parameter information of the image adjustment performed by the user on the second image.

Optionally, the mobile terminal 500 also includes:

The second acquiring module 504 is configured to acquire a second image attribute of the second image before performing image adjustment on the first image according to the adjustment parameter information to obtain a target image;

The selection module 505 is configured to select a second preset number of first images having the second image attribute among the images to be processed according to the second image attribute.

Optionally, the mobile terminal 500 also includes:

A display module 506, configured to display the target image on a preset preview interface after image adjustment is performed on the second image according to the adjustment parameter information to obtain the target image;

The second receiving module 507 is configured to receive a selection and saving instruction input by the user on the preview interface;

The storage module 508 is configured to store the target image corresponding to the selection and storage instruction.

Optionally, the image attributes include shooting geographic location, shooting time and/or image subject type.

The mobile terminal 500 can implement various processes implemented by the mobile terminal in the method embodiments shown in FIG. 1 to FIG. 4 , and details are not repeated here to avoid repetition. The mobile terminal 500 in this embodiment receives an operation instruction input by the user to adjust the image of at least one first image, and according to the operation instruction, obtains the adjustment parameter information after the user performs image adjustment on the second image, and adjusts the first image. Image adjustment is performed on the image to obtain the target image. Since at least one image attribute of the first image and the second image is the same, targeted processing of images with the same image attribute is realized to meet user needs without manual adjustment, which is more convenient and quicker.

third embodiment

FIG. 8 is a block diagram of a mobile terminal according to another embodiment of the present invention. The mobile terminal 800 shown in FIG. 8 includes: at least one processor 801 , a memory 802 , at least one network interface 804 and a user interface 803 . Various components in the mobile terminal 800 are coupled together through a bus system 805 . It can be understood that the bus system 805 is used to realize connection and communication between these components. In addition to the data bus, the bus system 805 also includes a power bus, a control bus and a status signal bus. However, the various buses are labeled as bus system 805 in FIG. 8 for clarity of illustration.

Wherein, the user interface 803 may include a display, a keyboard, or a pointing device (for example, a mouse, a trackball (trackball), a touch panel, or a touch screen, and the like.

It can be understood that the memory 802 in the embodiment of the present invention may be a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memories. Wherein, the non-volatile memory may be a read-only memory (Read-Only Memory, ROM), a programmable read-only memory (Programmable ROM, PROM), an erasable programmable read-only memory (Erasable PROM, EPROM), an electronically programmable Erase Programmable Read-Only Memory (Electrically EPROM, EEPROM) or Flash. The volatile memory can be Random Access Memory (RAM), which acts as an external cache. By way of illustration and not limitation, many forms of RAM are available such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data RateSDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous connection dynamic random access memory (Synch link DRAM, SLDRAM) And direct memory bus random access memory (DirectRambus RAM, DRRAM). Memory 802 of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

In some implementations, the memory 802 stores the following elements, executable modules or data structures, or their subsets, or their extended sets: an operating system 8021 and an application program 8022 .

Among them, the operating system 8021 includes various system programs, such as framework layer, core library layer, driver layer, etc., for realizing various basic services and processing hardware-based tasks. The application program 8022 includes various application programs, such as a media player (Media Player), a browser (Browser), etc., and is used to implement various application services. The program for realizing the method of the embodiment of the present invention may be included in the application program 8022 .

In this embodiment of the present invention, by invoking the program or instruction stored in the memory 802, specifically, the program or instruction stored in the application program 8022, the processor 801 is configured to: receive an input from the user to perform image processing on at least one first image; An adjustment operation instruction; according to the operation instruction, obtain the adjustment parameter information after the user performs image adjustment on the second image, wherein at least one image attribute of the first image is the same as that of the second image; according to the adjustment parameter The information performs image adjustment on the first image to obtain a target image.

The methods disclosed in the foregoing embodiments of the present invention may be applied to the processor 801 or implemented by the processor 801 . The processor 801 may be an integrated circuit chip with signal processing capability. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in the processor 801 or instructions in the form of software. The above-mentioned processor 801 may be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), an off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or other available Program logic devices, discrete gate or transistor logic devices, discrete hardware components. Various methods, steps and logic block diagrams disclosed in the embodiments of the present invention may be implemented or executed. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like. The steps of the methods disclosed in the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register. The storage medium is located in the memory 802, and the processor 801 reads the information in the memory 802, and completes the steps of the above method in combination with its hardware.

It should be understood that the embodiments described herein may be implemented by hardware, software, firmware, middleware, microcode or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application specific integrated circuits (Application Specific Integrated Circuits, ASIC), digital signal processor (Digital Signal Processing, DSP), digital signal processing device (DSP Device, DSPD), programmable logic Device (Programmable Logic Device, PLD), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), general-purpose processor, controller, microcontroller, microprocessor, other electronic units for performing the functions described in this application or a combination thereof.

For a software implementation, the techniques described herein can be implemented through modules (eg, procedures, functions, and so on) that perform the functions described herein. Software codes can be stored in memory and executed by a processor. Memory can be implemented within the processor or external to the processor.

Optionally, the processor 801 is further configured to: determine the first image attribute of the first image according to the first image selected by the operation instruction; select the first image attribute in the adjusted image according to the first image attribute. A preset number of second images having attributes of the first image; obtaining adjustment parameter information of the selected second images.

Optionally, the processor 801 is further configured to: if the second image is a plurality of images, determine a common adjustment parameter type for image adjustment of the second image according to the adjustment parameter information; obtain each of the common adjustment parameter types; adjusting the parameter value corresponding to the parameter type; performing image adjustment on the first image according to the public adjustment parameter type and the parameter value to obtain a target image.

Optionally, the processor 801 is further configured to: determine, according to the parameter value, an average parameter value corresponding to each of the common adjustment parameter types as a target adjustment value; adjust the parameters of the common adjustment parameter type of the first image value, to the target adjustment value.

Optionally, the processor 801 is further configured to: determine the second image selected by the user according to the operation instruction; and record adjustment parameter information for image adjustment performed by the user on the second image.

Optionally, the processor 801 is further configured to: acquire a second image attribute of the second image before performing image adjustment on the first image according to the adjustment parameter information to obtain a target image; An image attribute, selecting a second preset number of first images having the second image attribute among the images to be processed.

Optionally, the processor 801 is further configured to: display the target image on the preset preview interface after performing image adjustment on the second image according to the adjustment parameter information to obtain the target image; An input selection and storage instruction; storing the target image corresponding to the selection and storage instruction.

Optionally, the image attributes include shooting geographic location, shooting time and/or image subject type.

The mobile terminal 800 can implement various processes implemented by the mobile terminal in the foregoing embodiments, and details are not repeated here to avoid repetition. The mobile terminal 800 receives an operation instruction input by the user to perform image adjustment on at least one first image, and according to the operation instruction, obtains adjustment parameter information after the user performs image adjustment on the second image, and performs image adjustment on the first image, Get the target image. Since at least one image attribute of the first image and the second image is the same, targeted processing of images with the same image attribute is realized to meet user needs without manual adjustment, which is more convenient and quicker.

Fourth embodiment

Fig. 9 is a schematic structural diagram of a mobile terminal according to another embodiment of the present invention. Specifically, the mobile terminal 900 in FIG. 9 may be a mobile phone, a tablet computer, a personal digital assistant (Personal Digital Assistant, PDA), or a vehicle-mounted computer.

Mobile terminal 900 in FIG.

Wherein, the input unit 930 can be used to receive number or character information input by the user, and generate signal input related to the user setting and function control of the mobile terminal 900 . Specifically, in the embodiment of the present invention, the input unit 930 may include a touch panel 931 . The touch panel 931, also referred to as a touch screen, can collect user's touch operations on or near it (such as the user's operation on the touch panel 931 using any suitable object or accessory such as a finger, a stylus), and The specified program drives the corresponding connected device. Optionally, the touch panel 931 may include two parts, a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, and 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 sends it to the to the processor 960, and can receive and execute commands sent by the processor 960. In addition, the touch panel 931 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 931, the input unit 930 may also include other input devices 932, which may include but not limited to physical keyboards, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, joysticks, etc. one or more of.

Wherein, the display unit 940 can be used to display information input by the user or provided to the user and various menu interfaces of the mobile terminal 900 . The display unit 940 may include a display panel 941. Optionally, the display panel 941 may be configured in the form of an LCD or an organic light-emitting diode (Organic Light-Emitting Diode, OLED).

It should be noted that the touch panel 931 can cover the display panel 941 to form a touch display screen. When the touch display screen detects a touch operation on or near it, it is sent to the processor 960 to determine the type of the touch event, and then the processor The 960 provides corresponding visual output on the touch display screen according to the type of the touch event.

The touch display screen includes an application program interface display area and a common control display area. The arrangement of the display area of the application program interface and the display area of the commonly used controls is not limited, and may be an arrangement in which the two display areas can be distinguished, such as vertical arrangement, left-right arrangement, and the like. The application program interface display area can be used to display the interface of the application program. Each interface may include at least one interface element such as an icon of an application program and/or a widget desktop control. The application program interface display area can also be an empty interface without any content. The commonly used control display area is used to display controls with a high usage rate, for example, application icons such as setting buttons, interface numbers, scroll bars, and phonebook icons.

Wherein the processor 960 is the control center of the mobile terminal 900, utilizes various interfaces and lines to connect various parts of the whole mobile phone, and runs or executes the software programs and/or modules stored in the first memory 921, and calls the software programs and/or modules stored in the second memory 921. The data in the memory 922 executes various functions of the mobile terminal 900 and processes data, so as to monitor the mobile terminal 900 as a whole. Optionally, the processor 960 may include one or more processing units.

In this embodiment of the present invention, the processor 960 is configured to receive a user-input pair of at least one first image by calling a software program and/or module stored in the first memory 921 and/or data in the second memory 922. An operation instruction for image adjustment; according to the operation instruction, obtain adjustment parameter information after the user performs image adjustment on the second image, wherein at least one image attribute of the first image is the same as that of the second image; according to the The adjustment parameter information performs image adjustment on the first image to obtain a target image.

Optionally, the processor 960 is further configured to: determine the first image attribute of the first image according to the first image selected by the operation instruction; select the first image attribute in the adjusted image according to the first image attribute. A preset number of second images having attributes of the first image; obtaining adjustment parameter information of the selected second images.

Optionally, the processor 960 is further configured to: if the second image is multiple images, determine a common adjustment parameter type for image adjustment of the second image according to the adjustment parameter information; adjusting the parameter value corresponding to the parameter type; performing image adjustment on the first image according to the public adjustment parameter type and the parameter value to obtain a target image.

Optionally, the processor 960 is further configured to: determine, according to the parameter value, an average parameter value corresponding to each of the common adjustment parameter types as a target adjustment value; adjust the parameters of the common adjustment parameter type of the first image value, to the target adjustment value.

Optionally, the processor 960 is further configured to: determine the second image selected by the user according to the operation instruction; and record adjustment parameter information for image adjustment performed by the user on the second image.

Optionally, the processor 960 is further configured to: acquire a second image attribute of the second image before performing image adjustment on the first image according to the adjustment parameter information to obtain a target image; An image attribute, selecting a second preset number of first images having the second image attribute among the images to be processed.

Optionally, the processor 960 is further configured to: display the target image on the preset preview interface after performing image adjustment on the second image according to the adjustment parameter information to obtain the target image; An input selection and storage instruction; storing the target image corresponding to the selection and storage instruction.

Optionally, the image attributes include shooting geographic location, shooting time and/or image subject type.

It can be seen that the mobile terminal 900 receives an operation instruction input by the user to adjust the image of at least one first image, and according to the operation instruction, obtains the adjustment parameter information after the user performs image adjustment on the second image, and performs image adjustment on the first image. Adjust to get the target image. Since at least one image attribute of the first image and the second image is the same, targeted processing of images with the same image attribute is realized to meet user needs without manual adjustment, which is more convenient and quicker.

Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the embodiments provided in this application, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.

If the functions described above are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media capable of storing program codes such as U disk, mobile hard disk, ROM, RAM, magnetic disk or optical disk.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

It should be further noted that the mobile terminals described in this manual include, but are not limited to, smart phones, tablet computers, and the like.

Many functional components described in this specification are referred to as modules in order to more particularly emphasize the independence of their implementation.

In the embodiments of the present invention, the modules may be implemented by software so as to be executed by various types of processors. An identified module of executable code may, by way of example, comprise one or more physical or logical blocks of computer instructions which may, for example, be structured as an object, procedure, or function. Notwithstanding, the executable code of an identified module need not be physically located together, but may include distinct instructions stored in different bits which, when logically combined, constitute the module and implement the specified Purpose.

Indeed, a module of executable code may be a single instruction, or many instructions, and may even be distributed over several different code segments, among different programs and across multiple memory devices. Likewise, operational data may be identified within modules, and may be implemented in any suitable form and organized within any suitable type of data structure. The operational data may be collected as a single data set, or may be distributed in different locations (including on different storage devices), and may exist, at least in part, only as electronic signals on a system or network.

When the module can be realized by software, considering the level of the existing hardware technology, the module that can be realized by software, regardless of the cost, those skilled in the art can build the corresponding hardware circuit to realize the corresponding function. The hardware circuit includes conventional very large scale integration (VLSI) circuits or gate arrays as well as existing semiconductors such as logic chips, transistors, or other discrete components. A module may also be implemented in programmable hardware devices such as field programmable gate arrays, programmable array logic, programmable logic devices, and the like.

The exemplary embodiments described above are described with reference to these drawings. Many different forms and embodiments are possible without departing from the spirit and teachings of the present invention. Therefore, the present invention should not be construed as the exemplary embodiments set forth herein. limits. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will convey the scope of the invention to those skilled in the art. In the drawings, component sizes and relative sizes may be exaggerated for clarity. The terminology used herein is for the purpose of describing certain exemplary embodiments only and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include these plural forms unless the context clearly dictates otherwise. It will be further understood that the terms "comprises" and/or "comprises", when used in this specification, indicate the presence of stated features, integers, steps, operations, components and/or components, but do not exclude one or more other The presence or addition of features, integers, steps, operations, components, components and/or groups thereof. Unless otherwise indicated, when stated a range of values includes the upper and lower limits of that range and any subranges therebetween.

The above description is a preferred embodiment of the present invention, it should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications can also be made. It should be regarded as the protection scope of the present invention.

Claims (16)

1. An image processing method, characterized in that, comprising: receiving an operation instruction input by a user to perform image adjustment on at least one first image; According to the operation instruction, obtain adjustment parameter information after the user performs image adjustment on the second image, wherein at least one image attribute of the first image is the same as that of the second image; Image adjustment is performed on the first image according to the adjustment parameter information to obtain a target image. 2. The image processing method according to claim 1, wherein the step of obtaining the adjustment parameter information after the user performs image adjustment on the second image according to the operation instruction comprises: determining a first image attribute of the first image according to the first image selected by the operation instruction; Selecting a first preset number of second images having the first image attribute from the adjusted image according to the first image attribute; The adjustment parameter information of the selected second image is acquired. 3. The image processing method according to claim 2, wherein the step of performing image adjustment on the first image according to the adjustment parameter information to obtain a target image comprises: If the second image is a plurality of images, then according to the adjustment parameter information, determine a common adjustment parameter type for image adjustment of the second image; Obtaining a parameter value corresponding to each of the public adjustment parameter types; Image adjustment is performed on the first image according to the public adjustment parameter type and the parameter value to obtain a target image. 4. The image processing method according to claim 3, wherein the step of performing image adjustment on the first image according to the common adjustment parameter type and the parameter value comprises: According to the parameter value, determine the parameter mean value corresponding to each of the common adjustment parameter types as the target adjustment value; Adjusting the parameter value of the common adjustment parameter type of the first image to the target adjustment value. 5. The image processing method according to claim 1, wherein the step of obtaining the adjustment parameter information after the user performs image adjustment on the second image according to the operation instruction comprises: determining the second image selected by the user according to the operation instruction; and record adjustment parameter information for image adjustment performed by the user on the second image. 6. The image processing method according to claim 5, wherein, before the step of performing image adjustment on the first image according to the adjustment parameter information to obtain the target image, further comprising: acquiring a second image attribute of the second image; According to the second image attribute, a second preset number of first images having the second image attribute are selected among the images to be processed. 7. The image processing method according to claim 1, characterized in that, after performing image adjustment on the second image according to the adjustment parameter information to obtain the target image, further comprising: displaying the target image on a preset preview interface; receiving a selection and saving instruction input by the user on the preview interface; storing the target image corresponding to the selection and saving instruction. 8 . The image processing method according to claim 1 , wherein the image attributes include shooting geographic location, shooting time and/or image subject type. 9. A mobile terminal, characterized in that, comprising: A first receiving module, configured to receive an operation instruction input by a user to perform image adjustment on at least one first image; The first acquisition module is configured to acquire adjustment parameter information after the user performs image adjustment on the second image according to the operation instruction, wherein at least one image attribute of the first image is the same as that of the second image; A processing module, configured to perform image adjustment on the first image according to the adjustment parameter information to obtain a target image. 10. The mobile terminal according to claim 9, wherein the first acquiring module comprises: A first determining submodule, configured to determine a first image attribute of the first image according to the first image selected by the operation instruction; A selection submodule, configured to select a first preset number of second images having the first image attribute from among the adjusted images according to the first image attribute; The first acquiring submodule is configured to acquire the adjustment parameter information of the selected second image. 11. The mobile terminal according to claim 10, wherein the processing module comprises: The second determination sub-module is configured to determine, according to the adjustment parameter information, a common adjustment parameter type for image adjustment of the second image if the second image is a plurality of images; The second obtaining submodule is used to obtain the parameter value corresponding to each of the public adjustment parameter types; The processing sub-module is configured to perform image adjustment on the first image according to the public adjustment parameter type and the parameter value to obtain a target image. 12. The mobile terminal according to claim 11, wherein the processing submodule comprises: A determining unit, configured to determine, according to the parameter value, a parameter mean value corresponding to each of the common adjustment parameter types as a target adjustment value; An adjustment unit, configured to adjust the parameter value of the common adjustment parameter type of the first image to the target adjustment value. 13. The mobile terminal according to claim 9, wherein the first acquiring module comprises: The third determining submodule is used to determine the second image selected by the user according to the operation instruction; The recording sub-module is used to record the adjustment parameter information of the image adjustment performed by the user on the second image. 14. The mobile terminal according to claim 13, further comprising: A second acquiring module, configured to acquire a second image attribute of the second image before performing image adjustment on the first image according to the adjustment parameter information to obtain a target image; The selection module is configured to select a second preset number of first images having the second image attribute among the images to be processed according to the second image attribute. 15. The mobile terminal according to claim 9, further comprising: A display module, configured to display the target image on a preset preview interface after performing image adjustment on the second image according to the adjustment parameter information to obtain the target image; The second receiving module is used to receive the selection and saving instruction input by the user on the preview interface; A storage module, configured to store the target image corresponding to the selection and storage instruction. 16 . The mobile terminal according to claim 9 , wherein the image attributes include shooting geographic location, shooting time and/or image subject type.