Image processing method and device based on camera device, equipment and storage medium

Abstract

The embodiment of the invention relates to the technical field of image processing, and discloses an image processing method and device based on a camera device, equipment and a storage medium, and the method comprises the steps: obtaining a plurality of frames of first images shot by the camera device, and a first environment parameter during shooting; detecting a target object which does not change, identifying an object area of the target object, and analyzing the object area to obtain image feature parameters; determining image filtering parameters adopted by the camera shooting device under different environment parameters according to the influence relation of the change of the image characteristic parameters along with the environment parameters; and processing a second image shot by the camera device under the second environment parameter by using the applicable image filtering parameter to obtain a target image. According to the processing method disclosed by the invention, the technical problem that the display effect of the picture shot by the camera device is poor under the condition of a poor environment is solved, and at least the display effect of the image shot by the camera device under the condition of the poor environment can be improved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of image processing technology, and in particular to an image processing method, device, equipment and storage medium based on a camera device. Background Art

[0002] In the field of smart home, usually after taking pictures with a camera, the camera device processes the images and then feeds them back to the central control end, so that the images are directly presented on the central control end. However, the camera end processes the images slowly, and usually can only make simple adjustments to the images before sending them to the central control end for display. It is unable to make detailed image quality corrections based on the environmental conditions, resulting in poor results for images taken in poor environments. Summary of the invention

[0003] The purpose of the present invention is to at least provide an image processing method, device, equipment and storage medium based on a camera device, which can at least solve the technical problem that the picture taken by the camera device in a bad environment is not good, and at least improve the display effect of the image taken by the camera device in a bad environment.

[0004] To solve the above technical problem, at least one embodiment of the present application provides an image processing method based on a camera device, comprising: acquiring a plurality of first images obtained after the camera device captures a first environmental area, and a first environmental parameter when capturing each frame of the first image;

[0005] Detecting a target object that has not changed in the first environmental area, identifying an object area of ​​the target object from the multiple frames of first images, and analyzing the object area to obtain image feature parameters of the target object;

[0006] Determine, according to the influence relationship between the image feature parameters of the target object and the changes in the environmental parameters, image filtering parameters suitable for the camera device to use when taking pictures under different environmental parameters;

[0007] The second image captured by the camera under the second environmental parameters is processed using the image filtering parameters applicable to the second environmental parameters to obtain a target image.

[0008] At least one embodiment of the present application further provides an image processing device, including: the image processing device is connected to a camera device, and the image processing device includes:

[0009] A data acquisition module, used to acquire a plurality of frames of first images obtained after the camera device captures the first environmental area, and a first environmental parameter when each frame of the first image is captured;

[0010] A data analysis module, configured to detect a target object that has not changed in the first environmental area, identify an object area of ​​the target object from the plurality of first image frames, and obtain image feature parameters of the target object by analyzing the object area;

[0011] An image filtering parameter adaptation module, used to determine image filtering parameters suitable for the camera device to use when taking pictures under different environmental parameters according to the influence relationship between the image feature parameters of the target object and the changes in the environmental parameters;

[0012] The image processing module is used to process the second image taken by the camera device under the second environmental parameters by using the image filtering parameters applicable to the second environmental parameters to obtain a target image.

[0013] At least one embodiment of the present application further provides a central control device, comprising the above-mentioned image processing apparatus and a display screen for displaying a target image.

[0014] At least one embodiment of the present application also provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the above-mentioned image processing method.

[0015] At least one embodiment of the present application further provides a computer-readable storage medium storing a computer program, wherein the computer program implements the above-mentioned image processing method when executed by a processor.

[0016] The embodiments of the present application provide an image processing method, device, equipment and storage medium based on a camera device, which analyzes and identifies multiple frames of first images taken by the camera device to find the target object in the multiple frames of images, thereby analyzing the changes in image feature parameters of the target object, and confirming the influence of environmental parameters on the imaging effect of the picture taken by the camera device through the changes in image feature parameters in different frames of images, and then determining the image filtering parameters suitable for the camera device to use for shooting under different environmental parameters according to the influence relationship between the image feature parameters of the target object and the changes in the environmental parameters, so that the camera device can use the image filtering parameters suitable for the environmental parameters when shooting the second image when shooting the second image, thereby enhancing the display effect of the image taken by the camera device, and can dynamically adjust the filtering parameters of the picture taken by the camera device, correct and enhance the picture of the camera device in real time, and improve the image display effect.

[0017] In some optional embodiments, determining the image filtering parameters suitable for the camera device to use for shooting under different environmental parameters according to the influence relationship between the image feature parameters of the target object and the changes in the environmental parameters includes:

[0018] Dynamically adjusting the image filtering parameters until the image feature parameters of the target object meet preset feature requirements after the first image is processed using the adjusted image filtering parameters;

[0019] The image filtering parameters adopted when the image feature parameters of the target object meet the preset feature requirements are determined as image filtering parameters suitable for the camera device to adopt when taking pictures under the environmental parameters corresponding to the first image.

[0020] In some optional embodiments, the image processing method further includes:

[0021] Displaying the target image in a display interface, and an adjustment interface for adjusting image filtering parameters of the target image;

[0022] In response to the user's adjustment operation on the adjustment interface, the image filtering parameters after the user's adjustment operation are dynamically mapped to the target image, and the target image displayed in the display interface is synchronously updated.

[0023] In some optional embodiments, the adjustment interface includes an adjustment coordinate system for sharpening the target image, and a coordinate adjustment point in the adjustment coordinate system corresponding to the current display state of the target image;

[0024] In response to the user's adjustment operation on the adjustment interface, the image filtering parameters after the user's adjustment operation include:

[0025] In response to a sliding adjustment operation of the coordinate adjustment point by the user, determining a coordinate value of a position where the user stops sliding the coordinate adjustment point;

[0026] The sharpening adjustment parameter after the user adjustment operation is determined according to the coordinate value of the position where the coordinate adjustment point stops sliding.

[0027] In some optional embodiments, the X-coordinate axis of the adjustment coordinate system is an image clarity parameter, and the Y-coordinate axis is an image color temperature parameter; the image processing method further includes:

[0028] According to the influence relationship between the image color temperature parameter and the image clarity parameter as the environmental parameters change, a polynomial fitting function for adjusting the relationship between the coordinate system and the environmental parameters is constructed;

[0029] The determining the sharpening adjustment parameter after the user adjustment operation according to the coordinate value of the position where the coordinate adjustment point stops sliding includes:

[0030] Determining the image color temperature parameter and the image clarity parameter corresponding to the current coordinate value of the coordinate adjustment point according to the coordinate value of the position where the coordinate adjustment point stops sliding;

[0031] The polynomial fitting function is used to determine the sharpening adjustment parameters of the image color temperature parameter and the image clarity parameter corresponding to the current coordinate value of the coordinate adjustment point in the second environmental parameter, and used as the sharpening adjustment parameters after the user adjustment operation.

[0032] In some optional embodiments, the displaying of the target image in the display interface and the adjustment interface for adjusting the image filtering parameters of the target image include:

[0033] Displaying the target image in a first area of ​​a display interface according to a preset layout specification;

[0034] Displaying the adjustment interface in the second area of ​​the display interface;

[0035] The first area and the second area are displayed independently of each other. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] One or more embodiments are exemplarily described by the pictures in the corresponding drawings, and these exemplary descriptions do not constitute limitations on the embodiments.

[0037] Figure 1 This is a flow chart of an image processing method based on a camera device provided by an embodiment of the present application. Figure 1 ;

[0038] Figure 2 An embodiment of the present application provides Figure 1 Further process in step 103 Figure 1 ;

[0039] Figure 3 This is a flow chart of an image processing method based on a camera device provided by an embodiment of the present application. Figure 2 ;

[0040] Figure 4 is a distribution diagram showing the first area and the second area provided by an embodiment of the present application;

[0041] Figure 5 An embodiment of the present application provides Figure 3 Further process of step 302 Figure 1 ;

[0042] Figure 6 An embodiment of the present application provides Figure 4 Further process in step 3022 Figure 1 ;

[0043] Figure 7 is a schematic diagram of an image processing device provided by another embodiment of the present application;

[0044] Figure 8 is a schematic diagram of a central control device provided by another embodiment of the present application;

[0045] Fig. 9 is a structural schematic diagram of an electronic device provided by another embodiment of the present application;

[0046] Fig.10 It is a schematic diagram of a storage medium provided by another embodiment of the present application. DETAILED DESCRIPTION

[0047] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings. However, it will be appreciated by those skilled in the art that in the present application, many technical details are proposed in order to enable the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical scheme claimed in the present application can also be implemented. The division of the following embodiments is for the convenience of description, and the specific implementation of the present application should not be construed as any limitation, and the various embodiments can be combined and referenced with each other under the premise of no contradiction.

[0048] In order to facilitate understanding of the embodiments of the present application, the relevant contents about the camera and the central control terminal are first introduced here.

[0049] In the field of smart home, usually after taking pictures with a camera, the camera device processes the images and then feeds them back to the central control end, so that the images are directly presented on the central control end. However, the camera end processes the images slowly, and usually can only make simple adjustments to the images before sending them to the central control end for display. It is unable to make detailed image quality corrections based on the environmental conditions, resulting in poor results for images taken in poor environments.

[0050] In order to solve the technical problem of poor display effect of pictures taken by a camera device in the above-mentioned poor environment, the present invention proposes an image processing method based on a camera device. The implementation details of the image processing method based on the camera device of this embodiment are specifically described below. The following content is only the implementation details provided for easy understanding and is not necessary for the implementation of this solution.

[0051] Embodiment 1:

[0052] The image processing method based on the camera device of this embodiment can be applied to electronic devices with communication, computing and data storage capabilities. The specific process can be as follows: Figure 1 As shown, including:

[0053] Step 101, obtaining a plurality of first images obtained after a camera device captures a first environmental area, and a first environmental parameter when capturing each first image;

[0054] Specifically, the first environmental parameter includes, but is not limited to, real-time measurement of ambient light intensity, which is obtained through a built-in or externally connected sensor.

[0055] In some examples, the acquired first environmental parameters are processed for dimension reduction, and parameters affecting the environment on image display are determined from the first environmental parameters, such as the color rendering index (used to indicate the color rendering ability of a light source for an object) and the residual estimate of the picture information entropy (used to provide feedback on the degree to which the picture becomes blurred due to the environment), so that the influence relationship between image feature parameters and changes in environmental parameters can be determined through the first environmental parameters.

[0056] Step 102, detecting a target object that has not changed in the first environmental area, identifying an object area of ​​the target object from the multiple frames of first images, and analyzing the object area to obtain image feature parameters of the target object;

[0057] Specifically, the first environmental area is the area where the camera device continuously shoots, which may be a specific environmental area such as a living room or balcony in a home; the target object that has not changed in the first environmental area is a target object that always exists in the monitored first environmental area within a period of time, usually a background object, such as walls and pillars in home monitoring.

[0058] The image feature parameters include the texture and color of the target object, so that the influence of the environment on the imaging of the camera device can be reflected by analyzing the changes in the texture and color of the target object.

[0059] Step 103, determining image filtering parameters suitable for the camera device to use when taking pictures under different environmental parameters according to the influence relationship between the image feature parameters of the target object and the environmental parameters;

[0060] Specifically, by changing the image characteristic parameters of the target object in multiple frames of first images and the first environmental parameters corresponding to each frame of the first image, the influence relationship between the image characteristic parameters of the target object and the changes in the environmental parameters is determined, and then the image filtering parameters suitable for the camera device to use for shooting under different environmental parameters can be determined, that is, the image filtering parameters required to determine the impact of the camera device on imaging in different environments can be determined.

[0061] Step 104: Processing the second image captured by the camera device under the second environmental parameters by using the image filtering parameters applicable to the second environmental parameters to obtain a target image.

[0062] Specifically, the image filtering parameters suitable for use by the camera device in shooting under different environmental parameters determined through steps 101-103 enable the camera device to use the image filtering parameters suitable for the environmental parameters when the second image is shot for processing when shooting a second image subsequently, thereby enhancing the display effect of the image shot by the camera device, and dynamically adjusting the filtering parameters of the picture shot by the camera device, correcting and enhancing the picture of the camera device in real time, and improving the image display effect.

[0063] In some examples, during subsequent shooting, the camera device can dynamically adjust the image captured in real time by the camera device using image filtering parameters required by the camera device for imaging effects in different environments, thereby enhancing the display effect of the real-time displayed image.

[0064] In this embodiment, multiple frames of first images taken by a camera device are analyzed and identified to find the target object in the multiple frames of images, thereby analyzing the changes in image feature parameters of the target object, and confirming the influence of environmental parameters on the imaging effect of the picture taken by the camera device through the changes in image feature parameters in different frames of images, and then determining image filtering parameters suitable for the camera device to use for shooting under different environmental parameters according to the influence relationship between the image feature parameters of the target object and the changes in the environmental parameters, so that the camera device can use the image filtering parameters suitable for the environmental parameters when the second image is taken for processing when taking a second image subsequently, thereby enhancing the display effect of the image taken by the camera device, and can dynamically adjust the filtering parameters of the picture taken by the camera device, correct and enhance the picture of the camera device in real time, and improve the image display effect.

[0065] In some embodiments, step 103, such as Figure 2 As shown, specifically including:

[0066] Step 201, dynamically adjusting the image filtering parameters until the image feature parameters of the target object meet preset feature requirements after the first image is processed using the adjusted image filtering parameters;

[0067] Step 202: Determine the image filtering parameters used when the image feature parameters of the target object meet preset feature requirements as image filtering parameters suitable for use by the camera device when taking images under the environmental parameters corresponding to the first image.

[0068] In some examples, specifically, the image filtering parameters are dynamically adjusted through an image sharpening algorithm, wherein the image sharpening algorithm includes any one of the Laplace algorithm, the USM algorithm and the Wallis algorithm, which can be selected in combination with the size of the environmental noise; in addition, for the adjustment of the color of the image, a polynomial regression processing method is used, and the use of the above method depends on the image feature parameters obtained by the texture analysis and environmental analysis mentioned in step 102.

[0069] In some embodiments, Figure 3 As shown, the image processing method also includes:

[0070] Step 301: displaying the target image and an adjustment interface for adjusting image filtering parameters of the target image in a display interface;

[0071] Step 302: In response to the user's adjustment operation on the adjustment interface, dynamically map the image filtering parameters after the user's adjustment operation to the target image, and synchronously update the target image displayed in the display interface.

[0072] Specifically, the user can further personalize the displayed image effect on the adjustment interface to meet the user's needs, so that when the user performs adjustment operations on the adjustment interface, the display effect of the target image displayed on the display interface can be updated in real time.

[0073] Specifically, if Figure 4 As shown, step 301 includes: displaying the target image in a first area of ​​the display interface with a preset layout specification; displaying the adjustment interface in a second area of ​​the display interface; wherein the first area and the second area are displayed independently of each other.

[0074] By displaying the target image and the adjustment interface in the independent first area and the second area respectively, the user can observe the display changes of the target image in the first area in real time when making adjustments through the adjustment interface, thereby facilitating the user to adjust to the image display effect he needs.

[0075] In some embodiments, the adjustment interface displayed in step 301 includes an adjustment coordinate system for sharpening the target image and a coordinate adjustment point in the adjustment coordinate system corresponding to the current display state of the target image; based on this,

[0076] like Figure 5 As shown, step 302 includes:

[0077] Step 3021: In response to a user's sliding adjustment operation on the coordinate adjustment point, determining a coordinate value of a position where the user stops sliding the coordinate adjustment point;

[0078] Step 3022: Determine the sharpening adjustment parameters after the user adjustment operation according to the coordinate value of the position where the coordinate adjustment point stops sliding.

[0079] Specifically, the user can adjust the coordinate value of the coordinate adjustment point in the adjustment coordinate system by sliding the coordinate adjustment point, and then determine the sharpening adjustment parameter after the user's adjustment operation in combination with the coordinate value, which is convenient for user operation.

[0080] In some examples, the corresponding sharpening adjustment parameters can be determined in real time for the changes in coordinate values ​​during the sliding process of the coordinate adjustment point, so that the display effect of the target image can be adjusted by the real-time sharpening adjustment parameters. When the user slides the coordinate adjustment point, the display effect of the displayed target image is adjusted in real time, so that the user can adjust the operation to the desired image display effect, thereby improving the operating experience.

[0081] In some embodiments, in order to facilitate users to understand the adjustment content of the adjustment coordinate system, the X-coordinate axis of the adjustment coordinate system is the image clarity parameter, and the Y-coordinate is the image color temperature parameter, wherein the image color temperature parameter changes from warm to cool from the origin of the adjustment coordinate system to the Y-axis, and the image clarity parameter changes from blurred to clear from the origin to the X-axis.

[0082] Furthermore, based on the adjustment coordinate system, the image processing method further includes: constructing a polynomial fitting function of the relationship between the adjustment coordinate system and the environmental parameters according to the influence relationship between the image color temperature parameter and the image clarity parameter as the environmental parameters change.

[0083] Specifically, Figure 6 As shown, step 3022 includes:

[0084] Step 30221: determining the image color temperature parameter and the image clarity parameter corresponding to the current coordinate value of the coordinate adjustment point according to the coordinate value of the position where the coordinate adjustment point stops sliding;

[0085] Step 30222: Use the polynomial fitting function to determine the sharpening adjustment parameters of the image color temperature parameter and the image clarity parameter corresponding to the current coordinate value of the coordinate adjustment point in the second environmental parameter, and use them as the sharpening adjustment parameters after the user adjustment operation.

[0086] Specifically, the coordinate values ​​on the coordinate system are matched to the environmental parameters one by one through multiple fitting parameters, so that when the user adjusts the current environmental parameters for the target image, the gain effect of the image clarity parameter and the image color temperature parameter will be adjusted accordingly. For example, on a sunny day, when the user adjusts the color temperature, the gain parameter of the red channel will be lower.

[0087] By fitting the adjustment coordinate system and the environmental parameters into a polynomial function, the target image change when the user operates through the adjustment interface will not deviate too much from the display effect corresponding to the current environmental parameters, ensuring that the target image adjusted by the user still has a better display effect.

[0088] Embodiment 2:

[0089] Another embodiment of the present application relates to an image processing device. The implementation details of the image processing device of this embodiment are described in detail below. The following content is only provided for the convenience of understanding the implementation details and is not necessary for implementing this solution. The schematic diagram of the image processing device of this embodiment can be as follows Figure 7 As shown, it includes a data acquisition module 801, a data analysis module 802, an image filtering parameter adaptation module 803 and an image processing module 804.

[0090] The data acquisition module 801 is used to acquire multiple frames of first images obtained after the camera device captures the first environmental area, and the first environmental parameters when each frame of the first image is captured; the data acquisition module 801 is also used to acquire a second image captured by the camera device under the second environmental parameters;

[0091] A data analysis module 802 is used to detect a target object that has not changed in the first environment area, identify an object area of ​​the target object from the multiple frames of first images, and obtain image feature parameters of the target object from the object area;

[0092] An image filtering parameter adaptation module 803 is used to determine image filtering parameters suitable for the camera device to use when taking pictures under different environmental parameters according to the influence relationship between the image feature parameters of the target object and the changes in the environmental parameters;

[0093] The image processing module 804 is used to process the second image captured by the camera device under the second environmental parameters using the image filtering parameters applicable to the second environmental parameters to obtain a target image.

[0094] It is worth mentioning that all modules involved in this embodiment are logic modules. In practical applications, a logic unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed by this application, but this does not mean that there are no other units in this embodiment.

[0095] Embodiment three:

[0096] Another embodiment of the present application relates to a central control device, such as Figure 8As shown, the central control device includes the image processing device 701 described in the above embodiment and a display screen 702 for displaying the image processed by the image processing device.

[0097] Among them, the central control device is connected to the camera device through an image processing device, and the two constitute a monitoring device applied to smart home monitoring.

[0098] Embodiment 4:

[0099] Another embodiment of the present application relates to an electronic device, such as Fig. 9 As shown, it includes: at least one processor 901; and a memory 902 that is communicatively connected to the at least one processor 901; wherein the memory 902 stores instructions that can be executed by the at least one processor 901, and the instructions are executed by the at least one processor 901 so that the at least one processor 901 can execute the image processing method in the above-mentioned embodiments.

[0100] Among them, the memory and the processor are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors and memories together. The bus can also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor.

[0101] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory can be used to store data used by the processor when performing operations.

[0102] Embodiment five:

[0103] Another embodiment of the present application relates to a computer-readable storage medium, such as Fig.10 As shown, a computer program 31 is stored. When the computer program 31 is executed by a processor, the above method embodiment is implemented.

[0104] That is, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as: ROM), random access memory (Random Access Memory, referred to as: RAM), disk or optical disk and other media that can store program codes.

[0105] Those skilled in the art will appreciate that the above embodiments are specific embodiments for implementing the present application, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present application.

Claims

1. An image processing method based on a camera device, characterized in that: include: Acquire multiple frames of first images obtained after the camera device captures the first environmental area, and first environmental parameters when capturing each frame of the first image; Detecting a target object that has not changed in the first environmental area, identifying an object area of ​​the target object from the multiple frames of first images, and analyzing the object area to obtain image feature parameters of the target object; Determine, according to the influence relationship between the image feature parameters of the target object and the changes in the environmental parameters, image filtering parameters suitable for the camera device to use when taking pictures under different environmental parameters; The second image captured by the camera under the second environmental parameters is processed using the image filtering parameters applicable to the second environmental parameters to obtain a target image.

2. The image processing method based on a camera device according to claim 1, characterized in that: The determining, based on the influence relationship between the image feature parameters of the target object and the changes in the environmental parameters, image filtering parameters suitable for the camera device to use when taking pictures under different environmental parameters includes: Dynamically adjusting the image filtering parameters until the image feature parameters of the target object meet preset feature requirements after the first image is processed using the adjusted image filtering parameters; The image filtering parameters adopted when the image feature parameters of the target object meet the preset feature requirements are determined as image filtering parameters suitable for the camera device to adopt when taking pictures under the environmental parameters corresponding to the first image.

3. The image processing method based on a camera device according to claim 1, characterized in that: The image processing method further comprises: Displaying the target image in a display interface, and an adjustment interface for adjusting image filtering parameters of the target image; In response to the user's adjustment operation on the adjustment interface, the image filtering parameters after the user's adjustment operation are dynamically mapped to the target image, and the target image displayed in the display interface is synchronously updated.

4. The image processing method based on a camera device according to claim 3, characterized in that: The adjustment interface includes an adjustment coordinate system for sharpening the target image and a coordinate adjustment point in the adjustment coordinate system corresponding to the current display state of the target image; In response to the user's adjustment operation on the adjustment interface, the image filtering parameters after the user's adjustment operation include: In response to a sliding adjustment operation of the coordinate adjustment point by the user, determining a coordinate value of a position where the user stops sliding the coordinate adjustment point; The sharpening adjustment parameter after the user adjustment operation is determined according to the coordinate value of the position where the coordinate adjustment point stops sliding.

5. The image processing method based on a camera device according to claim 4, characterized in that: The X coordinate axis of the adjustment coordinate system is the image clarity parameter, and the Y coordinate is the image color temperature parameter; the image processing method further includes: According to the influence relationship between the image color temperature parameter and the image clarity parameter as the environmental parameters change, a polynomial fitting function for adjusting the relationship between the coordinate system and the environmental parameters is constructed; The determining the sharpening adjustment parameter after the user adjustment operation according to the coordinate value of the position where the coordinate adjustment point stops sliding includes: Determining the image color temperature parameter and the image clarity parameter corresponding to the current coordinate value of the coordinate adjustment point according to the coordinate value of the position where the coordinate adjustment point stops sliding; The polynomial fitting function is used to determine the sharpening adjustment parameters of the image color temperature parameter and the image clarity parameter corresponding to the current coordinate value of the coordinate adjustment point in the second environmental parameter, and used as the sharpening adjustment parameters after the user adjustment operation.

6. The image processing method based on a camera device according to claim 3, characterized in that: The displaying of the target image in the display interface and the adjustment interface for adjusting the image filtering parameters of the target image include: Displaying the target image in a first area of ​​a display interface according to a preset layout specification; Displaying the adjustment interface in the second area of ​​the display interface; The first area and the second area are displayed independently of each other.

7. An image processing device, characterized in that: The image processing device is connected to the camera device, and the image processing device includes: A data acquisition module, used to acquire a plurality of frames of first images obtained after the camera device captures the first environmental area, and a first environmental parameter when each frame of the first image is captured; A data analysis module, configured to detect a target object that has not changed in the first environmental area, identify an object area of ​​the target object from the plurality of first image frames, and obtain image feature parameters of the target object by analyzing the object area; An image filtering parameter adaptation module, used to determine image filtering parameters suitable for the camera device to use when taking pictures under different environmental parameters according to the influence relationship between the image feature parameters of the target object and the changes in the environmental parameters; The image processing module is used to process the second image taken by the camera device under the second environmental parameters by using the image filtering parameters applicable to the second environmental parameters to obtain a target image.

8. A central control device, characterized in that: It comprises the image processing device as claimed in claim 7 and a display screen for displaying a target image.

9. An electronic device, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the image processing method according to any one of claims 1 to 6.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the image processing method according to any one of claims 1 to 6 is implemented.

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