CN108492246B - Image processing method and device and mobile terminal - Google Patents

Abstract

The invention discloses an image processing method, an image processing device and a mobile terminal, wherein the method comprises the following steps: processing the first image to obtain a second image; detecting a difference region on the second image, the difference region having a degree of difference from a corresponding region of the first image exceeding a predetermined threshold; and outputting prompt information for prompting that the image abnormity possibly exists in the difference area. According to the method and the device, whether the second image really has the abnormal error can be determined according to the specific processing mode of the first image through the output prompt information, and when the difference area of the second image really has the abnormal error, the second image can be modified in time, so that the picture distortion caused by the overlarge picture processing difference is prevented, the adverse effect is avoided, and the user experience is improved.

Description

Image processing method, device and mobile terminal

technical field

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

Background technique

With the continuous improvement of mobile phone processing capabilities, users are accustomed to modifying and beautifying pictures obtained by taking photos or downloading pictures from social media through mobile phones, and then save the processed pictures and save them after Saved pictures are shared on social media.

The current image retouching and image beautification functions, how to modify, how to beautify, how to adjust the brightness of the photos, etc., are completely determined by the user's intuitive observation and comparison. Different people have different feelings, and the final image effects are also different. Some users continue to focus on a specific area when retouching pictures. After the retouching of the specific area is completed, the picture retouching is completed; because they only pursue the high degree of beautification of the specific area, they ignore the In other areas, the difference between the other areas of the retouched image and the original image is too large, and even the image is distorted. After the user uploads the retouched distorted picture to social media, it will cause adverse effects and lead to poor user experience.

Contents of the invention

The present invention provides an image processing method, device, and mobile terminal to solve the problem of poor user experience due to excessive differences in image processing.

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

Process the first image to obtain a second image;

Detecting a difference region on the second image, the degree of difference between the difference region and the corresponding region of the first image exceeds a predetermined threshold;

and outputting prompt information for prompting that there may be an image abnormality in the difference region.

In a second aspect, an embodiment of the present invention also provides an image processing device, including:

A processing module, configured to process the first image to obtain a second image;

A detection module, configured to detect a difference region on the second image, the degree of difference between the difference region and the corresponding region of the first image exceeds a predetermined threshold;

An output module, configured to output prompt information for prompting that there may be an image abnormality in the difference region.

In the third aspect, the embodiment of the present invention also provides a mobile terminal, including a processor, a memory, and a computer program stored in the memory and operable on the processor, and the computer program is executed by the processor During execution, the steps of the above-mentioned image processing method are realized.

In a fourth aspect, an embodiment of the present invention also provides 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 steps of the above-mentioned image processing method are implemented .

In this way, in the embodiment of the present invention, by detecting the second image obtained through processing, when it is detected that there is a difference area with too large difference on the second image, a prompt message is output, so that the user can know in time that the processing There may be abnormal errors in the final image to avoid adverse effects and improve user experience.

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 according to these drawings without paying creative labor.

Fig. 1 represents one of the flowcharts of the image processing method of the embodiment of the present invention;

Fig. 2 shows the flowchart of step 102 in the embodiment of the present invention;

Fig. 3 shows the second flowchart of the image processing method of the embodiment of the present invention;

Fig. 4 shows the third flowchart of the image processing method of the embodiment of the present invention;

FIG. 5 shows one of the schematic structural diagrams of an image processing device according to an embodiment of the present invention;

FIG. 6 shows a second structural schematic diagram of an image processing device according to an embodiment of the present invention;

FIG. 7 shows a block diagram of a mobile terminal according to an embodiment of the present invention.

Detailed ways

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.

Referring to Fig. 1, an embodiment of the present invention provides an image processing method, including:

Step 101, process the first image to obtain a second image.

Wherein, the first image may be an image obtained by taking a real-time photograph, or a photographed image saved in history, or an image downloaded from a social media through a network. In short, the images obtained through various channels can all be the first image in the embodiment of the present invention, and the first image is an original image.

Wherein, the step of processing the first image in step 101 may be performing a series of processing on the first image such as screenshot, beautification, rotation, brightness adjustment, contrast adjustment, filter, length and width. After the above processing, a second image is obtained, and the second image is an intermediate image.

Step 102, detecting a difference region on the second image, where the degree of difference between the difference region and the corresponding region of the first image exceeds a predetermined threshold.

Wherein, the degree of difference refers to a first number of pixels whose color parameters change between the difference region and the corresponding region of the first image. The number of difference regions is at least one.

Wherein, referring to FIG. 2, the step 102 is specifically:

Step 201, divide the first image into a plurality of reference areas according to a predetermined size, and divide the second image into a plurality of comparison areas, and the plurality of reference areas correspond to the plurality of comparison areas;

Step 202, performing a color parameter comparison between each reference area and a comparison area corresponding to the reference area, and determining a first number of pixels whose color parameters change between the reference area and the comparison area;

Step 203, if the first number is greater than a predetermined number, or the ratio of the first number to the second number is greater than a predetermined ratio, determine that the comparison area is a difference area, and the second number is the number of pixels in the reference area.

The predetermined size in step 201 refers to a predetermined pixel size, and the specific pixel value of the predetermined pixel size may be a pre-stored pixel size, or a pixel size reset by the user.

Wherein, the color parameters refer to RGB color parameters, CMYK color parameters, LAB color parameters and HSB color parameters of pixels. Taking a first pixel in the reference area and a second pixel corresponding to the first pixel in the comparison area as an example, if the color parameter values of the second pixel and the first pixel are not all the same, it is considered that the second pixel is relative to the first pixel. The pixel undergoes a color parameter change.

Since the number of pixels in the first image will not change no matter what kind of processing is performed on the first image, by dividing the first image and the second image into regions and comparing them according to the divided regions, it is possible to Determine the difference region that changes greatly on the processed image. The difference area may be an abnormal area formed after processing, or a normal area formed after processing.

For example, assuming that the pixels of the first image in the embodiment of the present invention are 1000*1000 pixels, the first image is elongated in step 101 to obtain the second image. Divide the first image and the second image into 100 reference areas and 100 comparison areas with 10*10 pixels as a predetermined size, compare the 100 reference areas and 100 comparison areas one by one, and determine each The first number of color parameter changes in the comparison area and the corresponding reference area, and then determine whether there is a difference in the second image according to the size of the first number and the predetermined number, or the ratio between the first number and the second number large area.

Step 103, outputting a prompt message for prompting that there may be an image abnormality in the difference area.

Due to different specific processing operations on the first image, the difference area detected in step 102 may be an area with image abnormality (image distortion) or a normal area. Therefore, the output prompt information indicates that there may be an image abnormality in the difference region, rather than that there must be an image abnormality. For example, the operation of processing the first image is a cropping operation, and it is very likely that the degree of difference between the corresponding regions on the second image obtained after cropping and the first image exceeds a predetermined threshold. At this time, in step 102, the It is possible to detect a difference area, but at this time the detected difference area does not have the problem of image abnormality substantially. For another example, assuming that there are multiple images on the second image, the operation of processing the first image is to lengthen the legs of the image. Due to the different heights and leg lengths of different people, after the leg lengthening process In the obtained leg images of multiple people, there may be a problem that some people's leg images are normal, while another part of people's leg images are distorted. To sum up, due to the different specific operation methods of the processing of the first image, the second image obtained after processing may be normal or may be distorted. By outputting a prompt message that prompts that there may be an abnormal image in the difference area , so that the user can judge whether there is an abnormal image in the second image according to the specific operation mode, which can improve user experience.

Through the output prompt information, the user can determine whether there is really an abnormal error in the second image according to the specific processing method of the first image, and when there is indeed an abnormal error in the difference area of the second image, it can be modified in time. Prevent image distortion caused by excessive differences in image processing, and avoid adverse effects.

Wherein, referring to FIG. 3, in the embodiment of the present invention, the image processing method further includes:

Step 301, displaying a first virtual key for reserving the difference area and a second virtual key for restoring the difference area on the user interface;

Step 302, if an operation on the first virtual key is detected, reserve the difference area;

Step 303, if an operation on the second virtual key is detected, restore the difference area.

Specifically, a prompt message "There may be an image abnormality in the difference area" is displayed on the user interface, "Reserve the difference area" is displayed at the first virtual button, and "Restore the difference area" is displayed at the second virtual button.

The user determines whether to restore or retain the difference region through the interface information presented on the user interface and in combination with the specific operation mode on the first image. After the specific operation is determined, it is sufficient to click on the first virtual button or click on the second virtual button.

Wherein, in step 303, the step of recovering the difference area is specifically:

Step 3031, determine the target reference area corresponding to the difference area on the first image, and restore the color parameters of the image in the difference area to the color parameters of the image in the target reference area.

Wherein, the target reference area is one of the multiple reference areas divided in step 201 above. By restoring the color parameters of the image in the difference area to the color parameters of the image in the target reference area, the problem of image distortion caused by the processing of the first image can be solved and user experience can be improved.

In the embodiment of the present invention, referring to FIG. 4, after restoring the difference region, if the first control region adjacent to the difference region has not been restored, the method further includes:

Step 401, determining a transition area including the boundary line between the difference area and the first comparison area;

Step 402, according to the product of the weight corresponding to the pixel in the transition area and the current color parameter value of the pixel, adjust the color parameter of the pixel, wherein the weight of the pixel is positive to the distance from the pixel to the boundary line far away from the pixel in the transition area relevant.

Wherein, the step 402 is specifically: adjusting the color parameter of the pixels in the transition area from the current color parameter value to the product of the weight and the current color parameter value.

Specifically, there is at least one first comparison area, and according to the number of the first comparison area, in step 401, there is at least one transition area corresponding to a difference area.

In step 402, the weight of the pixel is the ratio of the distance from the pixel to the boundary line away from the pixel in the transition area and the width of the transition area. That is, the greater the distance from the pixel to the boundary line away from the pixel in the transition area, the greater the weight.

Moreover, in the embodiment of the present invention, the shape of the transition region is a direction. Wherein, the dividing line between the difference area and the first comparison area is the middle dividing line of the transition area, that is, the transition area is divided into two parts by the middle dividing line, one part belongs to the difference area, and the other part belongs to the first comparison area. area.

By adjusting the pixels in the transition area, the transition area can be well connected with the difference area and the first comparison area, so that the transition between the difference area and the first comparison area can be natural, and the user experience of image processing can be improved. .

In the embodiment of the present invention, after completing the processing of the transition area between the difference area of the second image and the first comparison area, a new third image is formed, the method further includes:

The third image is saved.

Through the image processing method provided by the embodiment of the present invention, through the output prompt information, it can be determined whether there is really an abnormal error in the second image according to the specific processing method for the first image, and whether there is indeed an abnormal error in the difference area of the second image In the event of an abnormal error, it can be modified in time to prevent image distortion due to excessive differences in image processing, avoid adverse effects, and improve user experience.

According to another aspect of the embodiments of the present invention, the embodiments of the present invention also provide an image processing device, including:

A processing module 501, configured to process the first image to obtain a second image;

A detection module 502, configured to detect a difference region on the second image, where the degree of difference between the difference region and the corresponding region of the first image exceeds a predetermined threshold;

The output module 503 is configured to output prompt information for prompting that there may be an image abnormality in the difference area.

Preferably, the device also includes:

A display module 504, configured to display a first virtual key for retaining the difference area and a second virtual key for restoring the difference area on the user interface;

The reserve module 505 is configured to reserve the difference area if a trigger operation on the first virtual key is detected; the restoration module 506 is configured to restore the difference area if a trigger operation to the second virtual key is detected.

Preferably, the detection module 502 includes:

A division unit 5021, configured to divide the first image into a plurality of reference areas according to a predetermined size, and divide the second image into a plurality of comparison areas, and the plurality of reference areas correspond to the plurality of comparison areas;

The comparison unit 5022 is configured to perform color parameter comparison between each reference area and the comparison area corresponding to the reference area, and determine the first number of pixels whose color parameters change between the reference area and the comparison area;

The determining unit 5023 is configured to determine that the comparison area is a difference area and the second number is the number of pixels in the reference area if the first number is greater than a predetermined number, or the ratio of the first number to the second number is greater than a predetermined ratio.

Preferably, the recovery module 506 includes:

The restoration unit 5061 is configured to determine a target reference area corresponding to the difference area on the first image, and restore the color parameters of the image in the difference area to the color parameters of the image in the target reference area.

Preferably, after restoring the difference region, if the first control region adjacent to the difference region has not been restored, the device further includes:

Determining module 507, configured to determine a transition area including the boundary line between the difference area and the first comparison area;

The adjustment module 508 is configured to adjust the color parameter of the pixel according to the product of the weight corresponding to the pixel in the transition area and the current color parameter value of the pixel, wherein, the weight of the pixel is the same as the boundary between the pixel and the pixel in the transition area away from the pixel The line distance is positively correlated.

Preferably, the adjustment module 508 includes:

The adjustment unit 5081 is configured to adjust the color parameters of the pixels in the transition area from the current color parameter value to the product of the weight and the current color parameter value.

The image processing apparatus provided in the embodiment of the present invention can implement each process implemented in the method embodiments in FIG. 1 to FIG. 4 , and details are not repeated here to avoid repetition. Through the output prompt information, it can be determined whether there is an abnormal error in the second image according to the specific processing method of the first image, and if there is indeed an abnormal error in the difference area of the second image, it can be modified in time to prevent Image distortion caused by excessive differences in image processing avoids adverse effects and improves user experience.

7 is a schematic diagram of a hardware structure of a mobile terminal implementing various embodiments of the present invention. The mobile terminal 600 includes but is not limited to: a radio frequency unit 601, a network module 602, an audio output unit 603, an input unit 604, a sensor 605, and a display unit 606 , a user input unit 607 , an interface unit 608 , a memory 609 , a processor 610 , and a power supply 611 and other components. Those skilled in the art can understand that the structure of the mobile terminal shown in FIG. 7 does not constitute a limitation on the mobile terminal, and the mobile terminal may include more or less components than shown in the figure, or combine some components, or different components layout. In the 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, and a pedometer.

Wherein, the radio frequency unit 601 is configured to send and receive signals according to the control of the processor 610;

a processor 610, configured to process the first image to obtain a second image;

Detecting a difference region on the second image, where the degree of difference between the difference region and the corresponding region of the first image exceeds a predetermined threshold;

and outputting prompt information for prompting that there may be an image abnormality in the difference region.

Through the output prompt information, it can be determined whether there is an abnormal error in the second image according to the specific processing method of the first image, and if there is indeed an abnormal error in the difference area of the second image, it can be modified in time to prevent Image distortion caused by excessive differences in image processing avoids adverse effects and improves user experience.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 601 can be used for receiving and sending signals during sending and receiving information or during a call. Specifically, the downlink data from the base station is received and processed by the processor 610; in addition, the Uplink data is sent to the base station. Generally, the radio frequency unit 601 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 601 can also communicate with the network and other devices through a wireless communication system.

The mobile terminal provides users with wireless broadband Internet access through the network module 602, such as helping users send and receive emails, browse web pages, and access streaming media.

The audio output unit 603 may convert audio data received by the radio frequency unit 601 or the network module 602 or stored in the memory 609 into an audio signal and output as sound. Also, the audio output unit 603 can also provide audio output related to a specific function performed by the mobile terminal 600 (for example, a call signal reception sound, a message reception sound, etc.). The audio output unit 603 includes a speaker, a buzzer, a receiver, and the like.

The input unit 604 is used for receiving audio or video signals. The input unit 604 may include a graphics processing unit (Graphics Processing Unit, GPU) 6041 and a microphone 6042, and the graphics processing unit 6041 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. The data is processed. The processed image frames may be displayed on the display unit 606 . The image frames processed by the graphics processor 6041 may be stored in the memory 609 (or other storage media) or sent via the radio frequency unit 601 or the network module 602 . The microphone 6042 can receive sound, and can process such sound into audio data. The processed audio data can be converted into a format that can be sent to a mobile communication base station via the radio frequency unit 601 for output in the case of a phone call mode.

The mobile terminal 600 also includes at least one sensor 605, 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 6061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 6061 and the display panel 6061 when the mobile terminal 600 moves to the ear / or backlighting. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when it is still, and can be used to identify the posture of mobile terminals (such as horizontal and vertical screen switching, related games, etc.) , magnetometer attitude calibration), vibration recognition-related functions (such as pedometer, knocking), etc.; the sensor 605 can also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, Infrared sensors, etc., will not be repeated here.

The display unit 606 is used to display information input by the user or information provided to the user. The display unit 606 may include a display panel 6061, and the display panel 6061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an organic light-emitting diode (Organic Light-Emitting Diode, OLED), or the like.

The user input unit 607 can be used to receive input numbers or character information, and generate key signal input related to user settings and function control of the mobile terminal. Specifically, the user input unit 607 includes a touch panel 6071 and other input devices 6072 . The touch panel 6071, also referred to as a touch screen, can collect the user's touch operations on or near it (for example, the user uses any suitable object or accessory such as a finger or a stylus on the touch panel 6071 or near the touch panel 6071). operate). The touch panel 6071 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 For the processor 610, receive the command sent by the processor 610 and execute it. In addition, the touch panel 6071 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 6071, the user input unit 607 may also include other input devices 6072. Specifically, other input devices 6072 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.

Furthermore, the touch panel 6071 can be covered on the display panel 6061. When the touch panel 6071 detects a touch operation on or near it, it will be sent to the processor 610 to determine the type of the touch event, and then the processor 610 will The type of event provides a corresponding visual output on the display panel 6061. Although in FIG. 7, the touch panel 6071 and the display panel 6061 are used as two independent components to realize the input and output functions of the mobile terminal, in some embodiments, the touch panel 6071 and the display panel 6061 can be integrated. The implementation of the input and output functions of the mobile terminal is not specifically limited here.

The interface unit 608 is an interface for connecting an external device to the mobile terminal 600 . For example, an external device may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, audio input/output (I/O) ports, video I/O ports, headphone ports, and more. The interface unit 608 can be used to receive input from an external device (for example, data information, power, etc.) transfer data between devices.

The memory 609 can be used to store software programs as well as various data. The memory 609 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playback function, an image playback function, etc.); Data created by the use of mobile phones (such as audio data, phonebook, etc.), etc. In addition, the memory 609 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 devices.

The processor 610 is the control center of the mobile terminal, which uses various interfaces and lines to connect various parts of the entire mobile terminal, by running or executing software programs and/or modules stored in the memory 609, and calling data stored in the memory 609 , execute various functions of the mobile terminal and process data, so as to monitor the mobile terminal as a whole. The processor 610 may include one or more processing units; preferably, the processor 610 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 foregoing modem processor may not be integrated into the processor 610 .

The mobile terminal 600 can also include a power supply 611 (such as a battery) for supplying power to various components. Preferably, the power supply 611 can be logically connected to the processor 610 through a power management system, so as to manage charging, discharging, and power consumption through the power management system. and other functions.

In addition, the mobile terminal 600 includes some functional modules not shown, which will not be repeated here.

Preferably, the embodiment of the present invention also provides a mobile terminal, including a processor 610, a memory 609, a computer program stored in the memory 609 and operable on the processor 610, when the computer program is executed by the processor 610 Each process of the above embodiment of the image processing method can achieve the same technical effect, so in order to avoid repetition, details are not repeated here.

The embodiment of the present invention also provides a computer-readable storage medium. 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 image processing method embodiment is realized, and the same technology can be achieved. Effect, in order to avoid repetition, will not repeat them here. Wherein, 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, and the like.

It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products are stored in a storage medium (such as ROM/RAM, disk, CD) contains 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 various embodiments of the present invention.

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 implementations, and the above-mentioned specific implementations are only illustrative, rather than restrictive, and those of ordinary skill in the art will Under the enlightenment of the present invention, without departing from the gist of the present invention and the protection scope of the claims, many forms can also be made, all of which belong to the protection of the present invention.

What has been described above is a preferred embodiment of the present invention. It should be pointed out that for those skilled in the art, some improvements and modifications can also be made without departing from the principles described in the present invention. within the scope of protection of the invention.

Claims (9)

1. An image processing method, comprising:

processing the first image to obtain a second image; the processing comprises at least one of screenshot, beautifying, rotation, brightness adjustment, contrast adjustment, filter, length and width and cutting;

detecting a difference region on the second image, the difference region having a degree of difference from a corresponding region of the first image exceeding a predetermined threshold;

outputting prompt information for prompting that the image abnormity possibly exists in the difference area;

displaying a first virtual key for reserving the difference area and a second virtual key for restoring the difference area on a user interface;

if the triggering operation of the first virtual key is detected, reserving the difference area;

and if the triggering operation of the second virtual key is detected, restoring the difference area.

2. The image processing method according to claim 1, wherein the step of detecting a difference region on the second image comprises:

dividing the first image into a plurality of reference areas according to a preset size, dividing the second image into a plurality of comparison areas, and enabling the plurality of reference areas and the plurality of comparison areas to be in one-to-one correspondence;

comparing color parameters of each reference area with the corresponding comparison area of the reference area, and determining a first number of pixels with color parameter change between the reference area and the comparison area;

and if the first number is greater than a preset number or the ratio of the first number to the second number is greater than a preset ratio, determining that the comparison area is a difference area, and the second number is the number of pixels in the reference area.

3. The image processing method according to claim 1, wherein the step of restoring the difference region comprises:

and determining a target reference region corresponding to the difference region on the first image, and restoring the color parameters of the image in the difference region into the color parameters of the image in the target reference region.

4. The image processing method according to claim 1, wherein after restoring the difference region, if a first control region adjacent to the difference region is not restored, the method further comprises:

determining a transition region comprising a boundary of the difference region and the first control region;

and adjusting the color parameters of the pixels according to the product of the weight corresponding to the pixels in the transition region and the current color parameter values of the pixels, wherein the weight of the pixels is positively correlated with the distance from the pixels to the boundary line far away from the pixels in the transition region.

5. An image processing apparatus characterized by comprising:

the processing module is used for processing the first image to obtain a second image; the processing comprises at least one of screenshot, beautifying, rotation, brightness adjustment, contrast adjustment, filter, length and width and cutting;

a detection module, configured to detect a difference region on the second image, where a difference degree between the difference region and a corresponding region of the first image exceeds a predetermined threshold;

the output module is used for outputting prompt information for prompting that the image abnormity possibly exists in the difference area;

the display module is used for displaying a first virtual key for reserving the difference area and a second virtual key for restoring the difference area on a user interface;

the reserving module is used for reserving the difference area if the triggering operation of the first virtual key is detected;

and the restoring module is used for restoring the difference area if the triggering operation of the second virtual key is detected.

6. The image processing apparatus according to claim 5, wherein the detection module comprises:

the dividing unit is used for dividing the first image into a plurality of reference areas according to a preset size and dividing the second image into a plurality of contrast areas, and the reference areas and the contrast areas are in one-to-one correspondence;

the comparison unit is used for comparing color parameters of each reference area with the comparison area corresponding to the reference area and determining a first number of pixels with color parameter change between the reference area and the comparison area;

a determining unit, configured to determine that the comparison area is a difference area if the first number is greater than a predetermined number, or a ratio of the first number to a second number is greater than a predetermined ratio, where the second number is a number of pixels in the reference area.

7. The image processing apparatus according to claim 5, wherein the restoration module comprises:

and the restoring unit is used for determining a target reference area corresponding to the difference area on the first image and restoring the color parameters of the image in the difference area into the color parameters of the image in the target reference area.

8. The image processing apparatus according to claim 5, wherein after restoring the difference region, if a first comparison region adjacent to the difference region is not restored, the apparatus further comprises:

the determining module is used for determining a transition region containing a boundary of the difference region and the first comparison region;

and the adjusting module is used for adjusting the color parameters of the pixels according to the product of the weight values corresponding to the pixels in the transition region and the current color parameter values of the pixels, wherein the weight values of the pixels are positively correlated with the distance from the pixels to the boundary line far away from the pixels in the transition region.

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 image processing method according to any one of claims 1 to 4.

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