CN113038002A

CN113038002A - Image processing method and device, electronic equipment and readable storage medium

Info

Publication number: CN113038002A
Application number: CN202110218721.XA
Authority: CN
Inventors: 张庆庆
Original assignee: Vivo Mobile Communication Co Ltd
Current assignee: Vivo Mobile Communication Co Ltd
Priority date: 2021-02-26
Filing date: 2021-02-26
Publication date: 2021-06-25
Anticipated expiration: 2041-02-26
Also published as: CN115835032A; CN113038002B

Abstract

The application discloses an image processing method and device, electronic equipment and a readable storage medium, and belongs to the field of electronic equipment. According to the method, element information of a target scene in a preview image is acquired first, then the element information is sent to a server, standard parameter information corresponding to different scene elements is stored in the server in advance, image optimization information returned by the server is received, the image optimization information is determined by the server according to the element information and the standard parameter information, and finally, a target image subjected to image optimization is acquired according to the image optimization information. Therefore, the image optimization is carried out based on the image optimization information determined by the standard parameter information, and the effect of optimizing the image can be improved to a certain extent. Moreover, the terminal equipment can perform the image optimization information only according to the received image optimization information, so that the workload of the terminal equipment can be reduced to a certain extent, and the processing efficiency can be improved.

Description

Image processing method and device, electronic equipment and readable storage medium

Technical Field

The application belongs to the field of electronic equipment, and particularly relates to an image processing method and device, electronic equipment and a readable storage medium.

Background

With the rapid development of electronic devices, people have been used to take pictures or record videos by using electronic devices such as mobile phones and cameras to record life drops. With the continuous improvement of the shooting technology, the requirements of people on the photo effect are higher and higher.

In the prior art, a plurality of photographing modes can be preset, and a user can select a favorite photographing mode according to requirements to photograph so as to modify an image. However, this method is less effective in improving image quality.

Disclosure of Invention

An object of the embodiments of the present application is to provide an image processing method, an image processing apparatus, an electronic device, and a readable storage medium, which can solve the problem of poor effect of improving image quality during photographing.

In order to solve the technical problem, the present application is implemented as follows:

in a first aspect, an embodiment of the present application provides an image processing method, which is applied to a terminal device, and the method includes:

acquiring element information of a target scene in a preview image;

sending the element information to a server; the server is pre-stored with standard parameter information corresponding to different scene elements;

receiving image optimization information returned by the server; the image optimization information is determined by the server according to the element information and the standard parameter information;

and acquiring a target image subjected to image optimization according to the image optimization information.

In a second aspect, an embodiment of the present application provides an image processing method, which is applied to a server, and the method includes:

receiving element information of a target scene sent by terminal equipment;

determining image optimization information according to the element information and the standard parameter information; the standard parameter information is information corresponding to different pre-stored scene elements;

and returning the image optimization information to the terminal equipment.

In a third aspect, an embodiment of the present application provides an image processing apparatus, which is applied to a terminal device, and includes:

the first acquisition module is used for acquiring element information of a target scene in a preview image;

the sending module is used for sending the element information to a server; the server is pre-stored with standard parameter information corresponding to different scene elements;

the receiving module is used for receiving the image optimization information returned by the server; the image optimization information is determined by the server according to the element information and the standard parameter information;

and the second acquisition module is used for acquiring the target image subjected to image optimization according to the image optimization information.

In a fourth aspect, an embodiment of the present application provides an image processing apparatus, applied to a server, the apparatus including:

the receiving module is used for receiving the element information of the target scene sent by the terminal equipment;

the determining module is used for determining image optimization information according to the element information and the standard parameter information; the standard parameter information is information corresponding to different pre-stored scene elements;

and the return module is used for returning the image optimization information to the terminal equipment.

In a fifth aspect, an embodiment of the present application provides an image processing system, including a terminal device and a server:

and the terminal equipment is used for acquiring the element information of the target scene in the preview image.

The terminal device is used for sending the element information to a server; the server stores standard parameter information corresponding to different scene elements in advance.

And the server is used for receiving the element information of the target scene sent by the terminal equipment.

The server is used for determining image optimization information according to the element information and the standard parameter information; the standard parameter information is information corresponding to different pre-stored scene elements.

And the server is used for returning the image optimization information to the terminal equipment.

The terminal equipment is used for receiving the image optimization information returned by the server; the image optimization information is determined by the server according to the element information and the standard parameter information.

And the terminal equipment is used for acquiring the target image subjected to image optimization according to the image optimization information.

In a sixth aspect, the present application provides an electronic device, which includes a processor, a memory, and a program or instructions stored on the memory and executable on the processor, and when executed by the processor, the program or instructions implement the steps of the image processing method according to the first aspect.

In a seventh aspect, this application provides a readable storage medium, on which a program or instructions are stored, and when executed by a processor, the program or instructions implement the steps of the image processing method according to the first aspect.

In an eighth aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement the image processing method according to the first aspect.

In summary, the image processing method provided in the embodiment of the present invention may first obtain the element information of the target scene in the preview image, then send the element information to the server, where the server stores standard parameter information corresponding to different scene elements in advance, receive the image optimization information returned by the server, where the image optimization information is determined by the server according to the element information and the standard parameter information, and finally obtain the target image subjected to image optimization according to the image optimization information. Therefore, the standard parameter information of the high-quality image stored in the server is acquired, and the image optimization information determined based on the standard parameter information is used for image optimization, so that the effect of optimizing the image can be improved to a certain extent. Moreover, the terminal equipment can perform the image optimization information only according to the received image optimization information, so that the workload of the terminal equipment can be reduced to a certain extent, and the processing efficiency can be improved.

Drawings

Fig. 1 is a flowchart illustrating steps of an image processing method according to an embodiment of the present application;

FIG. 2 is a flowchart illustrating steps of another image processing method according to an embodiment of the present disclosure;

FIG. 3 is a flowchart illustrating steps of another image processing method according to an embodiment of the present disclosure;

FIG. 4 is a schematic flow chart diagram provided by an embodiment of the present application;

fig. 5 is a block diagram of an image processing apparatus according to an embodiment of the present application;

fig. 6 is a block diagram of an image processing apparatus according to an embodiment of the present application;

fig. 7 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application may be practiced in sequences other than those illustrated or described herein, and that the terms "first," "second," and the like are generally used herein in a generic sense and do not limit the number of terms, e.g., the first term can be one or more than one. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.

The image processing method provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.

Fig. 1 is a flowchart of steps of an image processing method provided in an embodiment of the present application, and is applied to a terminal device, and as shown in fig. 1, the method may include:

step 101, acquiring element information of a target scene in a preview image.

In the embodiment of the present invention, the preview image may be an image displayed in a preview area of the current shooting picture. When a user needs to use the terminal device to shoot a photo, the shooting function of the terminal device can be opened, and the terminal device can display a shooting interface, wherein the shooting interface comprises a preview area used for displaying a preview image. When a user needs to shoot, the camera of the terminal equipment can be aligned to the shot object, and at the moment, the terminal equipment can acquire the current shooting picture containing the shot object through the camera.

In the embodiment of the present invention, the target scene may be a scene element displayed in the preview image, and the scene element may be a person, an animal, a building, a tree, a landscape, weather, or the like. The element information may be feature information of the scene element, for example, when the scene element is a building, the element information may be a size, a shape, a color, a structure, etc. of the building, and when the scene element is a person, the element information may be a sex, an age, a body type, a five-official, etc. of the person. The element information may also be an identifier of the scene element, where the identifier may be a name, a geographic location, and the like of the scene element, and the scene element may be searched and determined according to the identifier. For example, if the preview image shows a tower in rainy days, the target scene may be the tower, and the element information may be the height, width, shape, color, structure, etc. of the tower, or may be the name "XX tower" of the tower, or the geographical location of the tower.

In the embodiment of the present invention, the element information of the target scene in the preview image is obtained, and the method may be that when the terminal device collects the preview image, the preview image is subjected to scene recognition to determine the target scene contained in the preview image, and then each target scene is detected to determine the element information corresponding to each target scene. Specifically, when the terminal device frames and acquires a preview image, the preview image is transmitted to a Central Processing Unit (CPU) through a Digital Signal Processing chip (DSP) to perform image analysis and calculation, the Digital Signal of the preview image is processed into a feature function with scene characteristics, then scene element extraction is performed on the preview image information through scene recognition, so as to obtain a target scene and corresponding element information of the preview image, that is, the feature function with scene characteristics obtained from the preview image is classified and assigned, the feature function with different scene classifications is used as the target scene, and the assignment value for the scene element characteristics in the feature function is used as the element information corresponding to the target scene.

Step 102, sending the element information to a server; the server stores standard parameter information corresponding to different scene elements in advance.

In the embodiment of the present invention, the element information is sent to the server, and may be the element information corresponding to the target scene as an image optimization processing request, which is sent to the server.

In the embodiment of the invention, the server stores standard parameter information corresponding to different scene elements in advance, wherein the standard parameter information can be characteristic parameters corresponding to the different scene elements extracted from a high-quality image, and the high-quality image can be an image with higher display quality stored in the server in advance.

103, receiving image optimization information returned by the server; the image optimization information is determined by the server according to the element information and the standard parameter information.

In the embodiment of the present invention, the image optimization information may be determined according to the element information and the standard parameter information, and the image optimization information may be an image optimization parameter for guiding optimization processing on the image, or an optimization function for displaying characteristics of image optimization, which is not limited to the present invention.

And step 104, acquiring a target image subjected to image optimization according to the image optimization information.

In the embodiment of the invention, the image optimization information can be utilized to perform optimization processing on the image, and the optimized image is taken as the target image. For example, if the image optimization information is an image optimization parameter, the corresponding parameter of the image may be adjusted to the image optimization parameter to obtain a target image; and if the image optimization information is an optimization function, processing the acquired image by using the optimization function to obtain a target image.

Optionally, the image optimization information in the embodiment of the present invention may include a target imaging optimization parameter and a target image optimization parameter, and specifically, the target image may be obtained through the following sub-steps 1041 to 1042:

and a substep 1041 of taking the target imaging optimization parameter as a shooting parameter and shooting to obtain a first image.

In the embodiment of the invention, the target imaging optimization parameter can be a parameter of an image obtained during shooting, for example, exposure time, contrast, exposure and the like during shooting by a camera, and the display effect of the image obtained by shooting can be improved by adjusting the parameter of the terminal equipment during shooting the image. Taking the target imaging optimization parameter as a shooting parameter, and shooting to obtain a first image, where for example, the target imaging optimization parameter is exposure time of 0.02ms and contrast of 100:1, when shooting, the camera of the terminal device may shoot with the target imaging optimization parameter, that is, shoot with exposure time of 0.02ms and contrast of 100:1, and the obtained image is the first image.

And a substep 1042 of adjusting the first image according to the target image optimization parameter to obtain the target image.

In the embodiment of the present invention, the target image optimization parameter may be a parameter that needs to be adjusted when the image is optimized, for example, the target image optimization parameter may be a parameter such as contrast, sensitivity, resolution, and the like, and the display effect of the image may be further improved by performing optimization processing on the captured image. The first image is adjusted according to the target image optimization parameter to obtain the target image, for example, if the target image optimization parameter is sensitivity of 200 and resolution of 72ppi, the image may be optimized by adjusting the sensitivity of 200 and the resolution of 72ppi, and the processed first image is taken as the target image.

Optionally, in the embodiment of the present invention, the element information may include an identifier of the target scene; the image optimization information may be generated according to target standard parameter information corresponding to the target scene, the target standard parameter information may be determined in the standard parameter information according to the identifier, the image optimization information may include a first image optimization function and a first imaging optimization function, and specifically, the target image may be obtained through the following sub-steps 1043 to 1045:

substep 1043 generating a target image optimization parameter according to the first image optimization function, and generating a target imaging optimization parameter according to the first imaging optimization function.

In this embodiment of the present invention, the image optimization information may be generated according to target standard parameter information corresponding to a target scene, and the target standard parameter information may be determined in the standard parameter information according to an identifier, for example, the target scene is an ABC tower, the identifier of the target scene is an "ABC tower", and a scene element on the server is the standard parameter information corresponding to the "ABC tower" as the target standard parameter information. Further, a first image optimization function and a first imaging optimization function may be generated according to the target standard parameter information, and specifically, according to the display effect of the target standard parameter information, a relation that needs to be adjusted when the image is acquired may be used as the first imaging optimization function, and a relation when the image is optimized may be used as the first image optimization function.

In the embodiment of the present invention, the target image optimization parameter is generated according to the first image optimization function, and the parameter value when the value of the first image optimization function is the highest, that is, when the optimization processing effect is the best, is selected as the target image optimization parameter based on the first image optimization function. The target imaging optimization parameter is generated according to the first imaging optimization function, and the target imaging optimization parameter may be a parameter value obtained when the value of the first imaging optimization function is the highest, that is, when the image display is the best, based on the first imaging optimization function, and is used as the target imaging optimization parameter.

And a substep 1044 of taking the target imaging optimization parameter as a shooting parameter and shooting to obtain a second image.

For example, the target imaging optimization parameter is ABC, and when the terminal device calls the camera to take a picture, ABC may be used as a shooting parameter, and a shooting operation is performed, and a shot image is used as a second image.

Substep 1045, adjusting the second image according to the target image optimization parameter to obtain the target image.

In the embodiment of the present invention, the content of the acquired target image is as described above. Therefore, only the server needs to return the first imaging optimization function and the first image optimization function, the first imaging optimization function can be used for generating the optimization parameters for shooting and obtaining the images, the first imaging optimization function is used for generating the optimization parameters for processing the images, the occupancy rate of processing resources of the terminal equipment can be reduced, the image processing efficiency is improved, the standard parameter information with better imaging effect is stored on the server, the image processing effect of the images can be improved, the imaging effect of the images obtained through shooting can be not limited to the size of a single pixel of a photosensitive element of the terminal equipment, and the imaging quality is improved.

Optionally, in this embodiment of the present invention, the element information may include preview parameter information of the target scene and an identifier of the target scene, the image optimization information may include target standard parameter information and a second imaging optimization function, the target standard parameter information may be determined in the standard parameter information according to the identifier, the second imaging optimization function may be generated based on the preview parameter information and the target standard parameter information of the same target scene, and specifically, the target image may be obtained through the following sub-steps S1 to S6:

and a substep S1 of generating a first imaging optimization parameter according to the second imaging optimization function.

In the embodiment of the present invention, the second imaging optimization function is generated based on the preview parameter information and the target standard parameter information of the same target scene, where the preview parameter information represents a parameter corresponding to the current imaging quality of the terminal device, and the target standard parameter information represents a parameter corresponding to a higher imaging quality of the same target scene, and therefore, the second imaging optimization function may quantify a difference between the current imaging quality and the higher imaging quality of the terminal device. It should be noted that the second imaging optimization function may be generated for a part of the target scene, for example, the target scene has girls, dogs, and arch bridges, and the second imaging optimization function may be generated for the scene element "girls", that is, f (girls) ═ gender, system, age, five sense organs.

In the embodiment of the invention, the first imaging optimization parameters are generated according to the second imaging optimization function, the first imaging optimization parameters are used as shooting parameters, shooting is carried out to obtain the intermediate image, the first imaging optimization parameters can be generated by using the second imaging optimization function aiming at part of the target scene, and the terminal equipment adjusts the shooting parameters into the first imaging optimization parameters to carry out shooting to obtain the intermediate image.

And a substep S2, taking the first imaging optimization parameter as a shooting parameter, and shooting to obtain an intermediate image.

In the embodiment of the invention, the intermediate image is generated according to the optimization function corresponding to part of the target scenes, the target standard parameter information is the parameter information corresponding to the higher imaging quality of each target scene, and the first image comprehensive optimization function is generated according to the target standard parameter information and the intermediate image, so that the parameters of the obtained first image comprehensive optimization function can be more accurately adjusted, and the imaging quality of the image obtained by the terminal equipment can be close to the higher imaging quality. And respectively generating target imaging optimization parameters and target image optimization parameters by using the first image comprehensive optimization function, and then acquiring the target image.

And a substep S3 of generating a first image synthesis optimization function according to the target standard parameter information and the intermediate image.

And a substep S4 of determining target imaging optimization parameters according to the first image comprehensive optimization function, and determining target image optimization parameters according to the first image comprehensive optimization function.

And a substep S5, taking the target imaging optimization parameter as a shooting parameter, and shooting to obtain a third image.

And a substep S6, adjusting the third image according to the target image optimization parameter to obtain the target image.

In the embodiment of the invention, the imaging optimization parameters are generated by utilizing the high-imaging-quality parameter information corresponding to part of target scenes, the imaging optimization parameters are utilized to shoot to obtain images, and secondary optimization calculation is carried out by combining the high-imaging-quality parameter information of all the target scenes to obtain the final imaging parameters and image parameters, so that the occupancy rate of processing resources of terminal equipment can be reduced, the processing effect of the parameters on the images can be improved by the secondary optimization calculation, and the imaging quality of the shot images can not only improve the number of pixels, but also improve the size of a single pixel.

Optionally, in this embodiment of the present invention, the element information may include preview parameter information of a target scene and an identifier of the target scene, the image optimization information may include a second image synthesis optimization function and target standard parameter information of each target scene, the target standard parameter information may be determined in the standard parameter information according to the identifier, the target scene may include a first target scene and a second target scene, the second image synthesis optimization function may be determined based on the preview parameter information of the first target scene, and specifically, the target image may be obtained through the following sub-steps P1 to P5:

and a substep P1 of generating a third image synthesis optimization function according to the preview parameter information of the second target scene.

In the embodiment of the invention, the target scene is divided into the first target scene and the second target scene, and the first target scene and the second target scene are respectively utilized to generate the image comprehensive optimization function, so that the optimization function can be obtained aiming at different scene elements in the image, and a parameter information capable of ensuring the imaging quality of each scene element is determined. Generating a third image comprehensive optimization function according to the preview parameter information of the second target scene, which may be modeling the preview parameter information corresponding to the second target scene to obtain the third image comprehensive optimization function, where the second target scene is, for example, a building or a person, and the preview parameter information corresponding to the second target scene is f (y1) ═ f (f (weather); a1), f (y2) ═ f (iron tower); a2), and the generated third image comprehensive optimization function may be f (z) ═ f (y1), f (y2) } { [ f (weather); a1, [ f (construction); a2 ].

And a substep P2 of generating a fourth image comprehensive optimization function according to the second image comprehensive optimization function, the third image comprehensive optimization function and the target standard parameter information of each target scene.

In the embodiment of the present invention, a fourth image comprehensive optimization function is generated according to the second image comprehensive optimization function, the third image comprehensive optimization function and the target standard parameter information of each target scene, for example, the second image comprehensive optimization function is f (z) { (y3), f (y4) } { [ f (human); a3, [ f (vegetation); a4, the third image ensemble optimization function is f (z) { (f (y1), f (y2) } { [ f (weather); a1, [ f (construction); a2, the target standard parameter information of each target scene is f (b) { [ f (weather); b1, [ f (construction); b2, [ f (person); b3, [ f (vegetation); b4, the fourth image synthesis optimization function generated may be f (z) { (f (y1), f (y2), f (y3), f (y4) } { [ f (weather); a1, [ f (construction); a2, [ f (person); a3, [ f (vegetation); a4, [ f (weather); b1, [ f (construction); b2, [ f (person); b3, [ f (vegetation); b4 }.

Sub-step P3, determining target imaging optimization parameters according to the fourth image synthesis optimization function, and determining target image optimization parameters according to the fourth image synthesis optimization function.

In the embodiment of the invention, the fourth image comprehensive optimization function is utilized to respectively generate the target imaging optimization parameter and the target image optimization parameter, and the operation of acquiring the target image is as described above.

And a substep P4, taking the target imaging optimization parameter as a shooting parameter, and shooting to obtain a fourth image.

Specifically, the implementation manner of this step may refer to the foregoing step, which is not limited in this embodiment of the present invention.

And a sub-step P5 of adjusting the fourth image according to the target image optimization parameter to obtain the target image.

In the embodiment of the invention, when the processing resources on the terminal device are sufficient, the terminal device can also perform modeling to generate the comprehensive optimization function, and determines the imaging parameters and the image parameters finally used for guiding shooting in combination with the comprehensive optimization function returned by the server, so that the image processing efficiency can be improved, the size of a single pixel of a photosensitive element of the terminal device can be not limited, and the shot target image is closer to the stored image with high imaging quality.

Optionally, in this embodiment of the present invention, the element information may include an identifier of the target scene, the image optimization information may further include a standard related parameter that determines the target scene according to the identifier, and before the step of obtaining the image-optimized target image according to the image optimization information, the method may further include the following steps:

and for any target scene, adjusting the original related parameters of the scene area corresponding to the target scene in the preview image into the standard related parameters of the target scene.

In the embodiment of the present invention, the standard related parameter may be a pixel value of a high-imaging-quality image stored in the server, and the original related parameter may be a pixel value in a preview image acquired by the terminal device. For any target scene, the original related parameter of the scene area corresponding to the target scene in the preview image is adjusted to the standard related parameter of the target scene, which may be to replace the pixel value of each pixel in the scene area corresponding to the target scene in the preview image with the pixel value of the target scene standard related parameter, for example, the original related parameter of the target scene 1 in the preview image is a pixel value a, the standard related parameter of the target scene 1 is a pixel value B, or the pixel value a of the target scene 1 is replaced with a pixel value B.

In the embodiment of the invention, the scene area of the target scene is replaced by the pixel of the same target scene with higher imaging quality, the size of a single pixel acquired by the photosensitive element of the terminal equipment is not limited, the number of pixels in the target image and the size of the pixel can be improved, and the imaging quality of the target image can be improved.

In summary, the image processing method provided in the embodiment of the present invention may first obtain element information of a target scene in a preview image, then send the element information to a server, where the server stores standard parameter information corresponding to different scene elements in advance, and receives image optimization information returned by the server, where the image optimization information is determined by the server according to the element information and the standard parameter information, and adjusts a scene area corresponding to each target scene in the preview image according to a standard related parameter of each target scene, and finally, obtains a target image subjected to image optimization according to the image optimization information. Therefore, the standard parameter information of the high-quality image stored in the server is acquired, and the image optimization information determined based on the standard parameter information is used for image optimization, so that the effect of optimizing the image can be improved to a certain extent. Moreover, the terminal equipment can perform the image optimization information only according to the received image optimization information, so that the workload of the terminal equipment can be reduced to a certain extent, and the processing efficiency can be improved. Further, by replacing the scene area of the target scene with the pixel of the same target scene with higher imaging quality, the size of a single pixel acquired by the photosensitive element of the terminal device is not limited, the number of pixels and the pixel size in the target image can be increased, and the imaging quality of the target image can be improved.

Fig. 2 is a flowchart of steps of another image processing method provided in an embodiment of the present application, and is applied to a server, and as shown in fig. 2, the method may include:

step 201, receiving element information of a target scene sent by a terminal device.

It should be noted that the terminal device may further send a label to label information content that needs to be returned by the server, for example, if the label sent by the terminal device is "imaging optimization parameter and image optimization parameter", the server needs to generate "imaging optimization parameter and image optimization parameter" and return the "imaging optimization parameter and image optimization parameter" to the terminal device; and if the label sent by the terminal equipment is an image optimization function and an imaging optimization function, the server needs to generate the image optimization function and the imaging optimization function and return the image optimization function and the imaging optimization function to the terminal equipment.

Step 202, determining image optimization information according to the element information and the standard parameter information; the standard parameter information is information corresponding to different pre-stored scene elements.

In the embodiment of the invention, because the element information can be preview parameter information of the terminal equipment when shooting the target scene, and the standard parameter information is parameter information of the target scene with higher imaging quality, the corresponding image optimization information can be generated according to the requirement of the terminal equipment.

And step 203, returning the image optimization information to the terminal equipment.

For example, if the image optimization information is "an image optimization function and an imaging optimization function", the "image optimization function and the imaging optimization function" may be returned to the terminal device, and if the image optimization information is "an imaging optimization parameter and an image optimization parameter", the "imaging optimization parameter and the image optimization parameter" may be returned to the terminal device.

In summary, the image processing method provided in the embodiment of the present invention receives element information of a target scene sent by a terminal device, determines image optimization information according to the element information and standard parameter information, where the standard parameter information is information corresponding to different pre-stored scene elements, and finally returns the image optimization information to the terminal device. The scene elements with higher imaging quality are stored in the server and can be used as an optimized material when the terminal equipment shoots the scene elements, so that the imaging quality of images shot by the terminal equipment can be improved, and the scene elements can be used as the supplement of processing resources of the terminal equipment to further improve the efficiency of image processing.

Optionally, in this embodiment of the present invention, the scene element information may include preview parameter information of the target scene and an identifier of the target scene, and step 202 may include:

searching in the standard parameter information according to the identifier, and determining target standard parameter information corresponding to the target scene; generating a fifth image comprehensive optimization function according to the preview parameter information and the target standard parameter information; and determining the image optimization information according to the fifth image comprehensive optimization function.

In the embodiment of the present invention, the standard parameter information corresponding to the target scene is determined by searching in the standard parameter information according to the identifier, which may be by searching in a name recorded in the standard parameter information according to a name of the target scene, and determining the standard parameter information identical to the name of the target scene as the target standard parameter information. In an example, the name of the target scene is "arch bridge 1", then the standard parameter information corresponding to the scene element named "arch bridge 1" is searched in the standard parameter information, and the standard parameter information corresponding to "arch bridge 1" is used as the target standard parameter information.

In the embodiment of the present invention, a fifth image comprehensive optimization function is generated according to preview parameter information and target standard parameter information, for example, the preview parameter information is f (z) { [ f (vegetation); a1, [ f (construction); a2, [ f (person); a3, target criterion parameter information f (c) { [ f (vegetation); c1, [ f (construction); c2, a fifth image comprehensive optimization function f (z) { [ f (vegetation); a1, [ f (construction); a2, [ f (person); a3, [ f (vegetation); c1, [ f (construction); c2 ]. And determining the image optimization information according to the fifth image comprehensive optimization function, wherein the information required by the terminal equipment is generated based on the fifth image comprehensive optimization function and is used as the image optimization information.

In the embodiment of the invention, the same scene element with high imaging quality is searched and stored on the server by the identification to generate the image comprehensive optimization function, so that the terminal equipment is not limited on the hardware of the shooting device, and the shot image can be optimized according to the image with higher imaging quality, thereby improving the imaging quality of the target image.

Optionally, in the embodiment of the present invention, the image optimization information may include a target imaging optimization parameter and a target image optimization parameter, and the step of determining the image optimization information according to the fifth image comprehensive optimization function may include:

generating the target imaging optimization parameter according to the fifth image comprehensive optimization function, and generating the target image optimization parameter according to the fifth image comprehensive optimization function; and taking the target imaging optimization parameter and the target image optimization parameter as the image optimization information.

In the embodiment of the present invention, the target imaging optimization parameter is generated according to the fifth image comprehensive optimization function, for example, when the target imaging optimization parameter is the exposure time, since the fifth image comprehensive optimization function determines the imaging quality according to different parameter variables, the value corresponding to the shooting parameter in the fifth image comprehensive optimization function may be determined by selecting the fifth image comprehensive optimization function with the best imaging quality, and the exposure time corresponding to the shooting parameter value may be determined according to the preset correspondence table, and the exposure time is used as the target imaging optimization parameter. And generating a target image optimization parameter according to the fifth image comprehensive optimization function, for example, when the target image optimization parameter is the resolution, since the fifth image comprehensive optimization function determines the image quality according to different parameter variables, when the imaging quality is the best in the fifth image comprehensive optimization function, determining a value corresponding to the shooting parameter in the fifth image comprehensive optimization function, determining the resolution corresponding to the shooting parameter value according to a preset correspondence table, and taking the resolution as the target imaging optimization parameter. The server is connected with the terminal equipment, so that the problems of longer image processing speed and lower efficiency caused by limited processing resources of the terminal equipment can be solved, the imaging effect of the image is obtained, and the imaging quality can be improved without being limited to the size of a single pixel of a photosensitive element of the terminal equipment.

Optionally, in the embodiment of the present invention, the image optimization information may include a third imaging optimization function and a second image optimization function, and the step of determining the image optimization information according to the fifth image synthesis optimization function may include:

generating the third imaging optimization function according to the fifth image comprehensive optimization function, and generating the second image optimization function according to the fifth image comprehensive optimization function; and taking the third imaging optimization function and the second image optimization function as the image optimization information.

In the embodiment of the present invention, the third imaging optimization function is generated according to the fifth image comprehensive optimization function, and may be parameters that may be affected during imaging, such as exposure time, contrast, and the like, are selected from the fifth image comprehensive optimization function, and the corresponding imaging optimization function is obtained under the condition that the imaging quality indicated by the fifth image comprehensive optimization function is the best. And generating a second image optimization function according to the fifth image comprehensive optimization function, which may be to select parameters such as resolution, sensitivity and the like when the image is displayed, and acquire the corresponding image optimization function under the condition that the imaging quality indicated by the fifth image comprehensive optimization function is the best.

In the embodiment of the invention, the imaging optimization function and the image optimization function are respectively obtained, so that the terminal equipment can conveniently select the optimal shooting parameters according to the imaging optimization function when shooting, and the optimal display parameters are selected according to the image optimization function when the image is optimized, thereby avoiding the situation that the image processing operation cannot be executed due to the limited processing resources of the terminal equipment, and further improving the image processing efficiency.

Optionally, in the embodiment of the present invention, the image optimization information may include a fifth image comprehensive optimization function and target standard parameter information of each target scene, and the step of determining the image optimization information according to the fifth image comprehensive optimization function may include:

and taking the fifth image comprehensive optimization function and the target standard parameter information of each target scene as the image optimization information.

In the embodiment of the invention, under the condition that the processing resources of the terminal equipment are sufficient, the server only needs to provide the target standard parameter information of each target scene and the fifth image comprehensive optimization function, so that the server can provide more storage resources for the terminal equipment, and can flexibly return the image optimization information selectively according to the processing capacity of the terminal equipment, thereby improving the efficiency of image processing.

Optionally, in the embodiment of the present invention, standard related parameters corresponding to different scene elements may be stored in the server, and the image optimization information may further include the standard related parameters of the target scene, and the method may further include:

and acquiring standard related parameters corresponding to the target scene according to the identification.

In the embodiment of the present invention, when the identifier is the name of the scene element, the name of the searched scene element stored in the server may be a standard related parameter that is consistent with the identifier. By determining the standard related parameters corresponding to the target scene, the subsequent extraction and replacement of the standard related parameters can be facilitated, so that the problem of misoperation is avoided.

In summary, the image processing method provided in the embodiment of the present invention may first receive element information of a target scene sent by a terminal device, search in standard parameter information according to an identifier, determine target standard parameter information corresponding to the target scene, generate a fifth image comprehensive optimization function according to preview parameter information and the target standard parameter information, determine image optimization information according to the fifth image comprehensive optimization function, where the standard parameter information is information corresponding to different pre-stored scene elements, and finally return the image optimization information to the terminal device. The scene element with higher imaging quality is stored on the server and can be used as an optimization material when the terminal equipment shoots the scene element, so that the imaging quality of the image shot by the terminal equipment can be improved, the processing resource of the terminal equipment can be supplemented, the image processing efficiency is further improved, the terminal equipment is not limited in the hardware of the shooting device, the shot image can be optimized according to the image with higher imaging quality, and the imaging quality of the target image can be improved.

Fig. 3 is a flowchart of steps of another image processing method provided in an embodiment of the present application, where the method may be applied to a system including a terminal device and a server, and as shown in fig. 3, the method may include:

step 301, the terminal device obtains element information of a target scene in a preview image.

Step 302, the terminal device sends the element information to a server; the server stores standard parameter information corresponding to different scene elements in advance.

Step 303, the server receives the element information of the target scene sent by the terminal device.

Step 304, the server determines image optimization information according to the element information and the standard parameter information; the standard parameter information is information corresponding to different pre-stored scene elements.

And 305, the server returns the image optimization information to the terminal equipment.

Step 306, the terminal device receives the image optimization information returned by the server; the image optimization information is determined by the server according to the element information and the standard parameter information.

And 307, the terminal equipment acquires a target image subjected to image optimization according to the image optimization information.

Optionally, an implementation manner of the present invention is specifically as follows: the terminal equipment identifies scene elements in the view-finding preview window and extracts element information corresponding to N target scenes, wherein the target scenes can comprise buildings, animals, people, landscapes, plants and the like, the element information can be sunny days, rainy days, snowy days, cloudy days, dark nights and the like of weather, the color tone, style, shape, size and the like of the buildings, the seasons, mountains and waters, greenbelts, gardens and the like of the landscapes, the sex, body type, age, five sense organs and the like of the people, the color, size, species, habitability and the like of the animals, flowers, trees, grasslands, colors and the like of the plants. And the terminal equipment sends the extracted element information corresponding to the N target scenes to the server. And the server matches the stored scene element information with high imaging quality according to the N target scenes. And the server generates a comprehensive optimization function F (z) ═ F (X, A) according to the matching results of the N target scenes and the element information, and finally generates target imaging optimization parameters and target image optimization parameters according to the comprehensive optimization function and returns the target imaging optimization parameters and the target image optimization parameters to the terminal equipment. And the terminal equipment receives the target imaging optimization parameters and the target image optimization parameters, takes the target imaging optimization parameters as shooting parameters, shoots the target image, and processes the image according to the target image optimization parameters to obtain a target image.

In an example, the target scene of the preview image acquired by the terminal device includes a steel tower in rainy days, and due to the limitation of a shooting device of the terminal device, the image imaging quality is poor, and lines of the steel tower may be blurred, so that the recognition is not clear. In the embodiment of the invention, the standard image corresponding to the iron tower in the target scene is searched in the server, the standard image can be an image of the iron tower with high imaging quality, the details of the iron tower in the standard image are completely reserved, and the lines are clear. Furthermore, the terminal equipment can optimize the preview image on the terminal equipment according to the standard image in the server to obtain the target image, the imaging quality of the preview image can be effectively improved, the iron tower can display more clearly, and the display effect of the image can be improved.

Specifically, when the terminal device is in view preview, two scene elements, namely, rainy day (weather) and iron tower (building), are extracted, that is, f (weather) is rainy day; f (building) iron tower; the method can send a request to a server, quickly find out scene data of the rainy iron tower from the server, complete data matching and comparison, and determine a relation function f (y) of a scene image stored in the server, wherein the relation function f (y) is { phase element, contrast, exposure and phase element size }, matched scene data: f (y1) ═ f (f (weather); a 1); f (y2) ═ f (f (iron tower); a2), a comprehensive optimization function is obtained, i.e., f (z) { (f (x 1); a1), (f (x 2); a2) }. The iron tower of the server side in rainy days is high-quality image data under big data statistics, so that optimized data can be provided for the current shooting scene through data comparison.

Optionally, another implementation manner of the present invention is specifically as follows: when the terminal equipment views and previews, the image input to the central processing unit through the digital signal processing chip is analyzed and calculated, then element extraction is carried out on preview image information through scene recognition, and N target scenes are obtained through extraction. And the terminal equipment sends the extracted element information corresponding to the N target scenes to the server. The server determines standard parameter information corresponding to different scene elements according to the matching result of the N target scenes and the content of the large database, establishes N relation functions, achieves scene restoration by utilizing the analysis and calculation capacity of the server, and eliminates the problem of scene distortion caused by factors such as configuration of equipment. And the server feeds back standard parameter information corresponding to different scene elements to the terminal equipment. And the terminal equipment replaces one part of target scenes according to the standard parameter information and generates a comprehensive optimization function according to the preview parameter information corresponding to the other part of target scenes. And the terminal equipment generates target imaging optimization parameters and target image optimization parameters by combining the replaced standard parameter information and the comprehensive optimization function, takes the target imaging optimization parameters as shooting parameters, shoots the target imaging optimization parameters, and processes the image according to the target image optimization parameters to obtain a target image.

Optionally, another implementation manner of the present invention is specifically as follows: when the terminal equipment is used for framing and previewing, images input to a central processing unit through a digital signal processing chip are analyzed and calculated, then element extraction is carried out on preview image information through scene recognition, and N target scenes are obtained through extraction, wherein the target scenes comprise a target scene 1 and a target scene 2. And the terminal equipment sends the extracted element information corresponding to the N target scenes to the server. And the server determines standard parameter information corresponding to different scene elements according to the matching result of the N target scenes and the content of the big database, and establishes N relation functions. The server generates a comprehensive optimization function 1 according to the preview parameter information of the target scene 1, and returns the comprehensive optimization function 1 and standard parameter information corresponding to different scene elements to the terminal equipment. The terminal equipment shoots according to the comprehensive optimization function 1 to obtain an intermediate image, generates a comprehensive optimization function 2 for the intermediate image and standard parameter information, generates a target imaging optimization parameter and a target image optimization parameter, shoots by taking the target imaging optimization parameter as a shooting parameter, and performs image processing according to the target image optimization parameter to obtain a target image. And the terminal equipment simultaneously replaces the scene area of the target scene 2 with the corresponding standard parameter information.

Optionally, another implementation manner of the present invention is specifically as follows: when the terminal equipment views and previews, images input to a central processing unit through a digital signal processing chip are analyzed and calculated, then element extraction is carried out on preview image information through scene recognition, and N target scenes are obtained through extraction, wherein the target scenes comprise a target scene 3, a target scene 4 and a target scene 5. And the terminal equipment sends the extracted element information corresponding to the N target scenes to the server. And the server determines standard parameter information corresponding to different scene elements according to the matching result of the N target scenes and the content of the large database, and generates a comprehensive optimization function 3 according to the preview parameter information of the target scene 3. And the server returns the standard parameter information corresponding to the comprehensive optimization function 3 and different scene elements to the terminal equipment. And the terminal equipment generates a comprehensive optimization function 4 according to the preview parameter information of the target scene 4. And the terminal equipment generates target imaging optimization parameters and target image optimization parameters according to the comprehensive optimization function 3 and the comprehensive optimization function 4, takes the target imaging optimization parameters as shooting parameters, shoots the target imaging optimization parameters, and processes the image according to the target image optimization parameters to obtain a target image. And the terminal equipment simultaneously replaces the scene area of the target scene 5 with the corresponding standard parameter information.

For example, fig. 4 is a schematic flowchart of a process provided by an embodiment of the present application, as shown in fig. 4, a camera system device views a scene through networking, specifically, in the camera system device, a sensor 03 acquires a scene SEC01 through a lens 02 to obtain a preview image, the preview image is transmitted to a DSP04 for processing, the DSP04 transmits the image to a CPU05 and stores 06, the image is transmitted to a server through a 5G network 07, the server searches in a database 11 through a supercomputing 08 to determine a standard image corresponding to the same target scene, and determines a modeling scheme 10 according to the standard image, where the standard image is collected by the server through a collector 09 and stored in the database 11. Through the high-speed bandwidth capability of the 5G network, the extracted scene elements are transmitted to the server to perform big data analysis and restore the optimal scene while the device takes a picture, and the restored data is provided for the camera, so that the picture taking optimization is realized. The server comprises a scene database based on big data, has data analysis capability and modeling capability, and has the capability of self-expanding the database, and changes the configuration of the photographic system.

It should be noted that, in the image processing method provided in the embodiment of the present application, the execution subject may be an image processing method apparatus, or a control module for executing the image processing method in the image processing method apparatus. In the embodiment of the present application, an image processing method executed by an image processing method device is taken as an example, and the image processing method device provided in the embodiment of the present application is described.

Fig. 5 is a block diagram of an image processing apparatus provided in an embodiment of the present application, and is applied to a terminal device, and as shown in fig. 5, the image processing apparatus 40 may include:

a first obtaining module 401, configured to obtain element information of a target scene in a preview image;

a sending module 402, configured to send the element information to a server; the server is pre-stored with standard parameter information corresponding to different scene elements;

a receiving module 403, configured to receive image optimization information returned by the server; the image optimization information is determined by the server according to the element information and the standard parameter information;

a second obtaining module 404, configured to obtain, according to the image optimization information, an image-optimized target image.

In summary, the image processing apparatus provided in the embodiment of the present invention may first obtain element information of a target scene in a preview image, then send the element information to a server, where standard parameter information corresponding to different scene elements is stored in the server in advance, receive image optimization information returned by the server, where the image optimization information is determined by the server according to the element information and the standard parameter information, and finally obtain a target image subjected to image optimization according to the image optimization information. Therefore, the standard parameter information of the high-quality image stored in the server is acquired, and the image optimization information determined based on the standard parameter information is used for image optimization, so that the effect of optimizing the image can be improved to a certain extent. Moreover, the terminal equipment can perform the image optimization information only according to the received image optimization information, so that the workload of the terminal equipment can be reduced to a certain extent, and the processing efficiency can be improved.

Optionally, the image optimization information includes target imaging optimization parameters and target image optimization parameters;

the second obtaining module 404 is further configured to:

taking the target imaging optimization parameter as a shooting parameter, and shooting to obtain a first image;

and adjusting the first image according to the target image optimization parameters to obtain the target image.

Optionally, the element information includes an identifier of the target scene; the image optimization information is generated according to target standard parameter information corresponding to the target scene, and the target standard parameter information is determined in the standard parameter information according to the identification; the image optimization information comprises a first image optimization function and a first imaging optimization function;

the second obtaining module 404 is further configured to:

generating target image optimization parameters according to the first image optimization function, and generating target imaging optimization parameters according to the first imaging optimization function;

taking the target imaging optimization parameter as a shooting parameter, and shooting to obtain a second image;

and adjusting the second image according to the target image optimization parameters to obtain the target image.

Optionally, the element information includes preview parameter information of the target scene and an identifier of the target scene; the image optimization information comprises target standard parameter information and a second imaging optimization function; the target standard parameter information is determined in the standard parameter information according to the identification; the second imaging optimization function is generated based on the preview parameter information and the target standard parameter information of the same target scene;

the second obtaining module 404 is further configured to:

generating a first imaging optimization parameter according to the second imaging optimization function;

taking the first imaging optimization parameter as a shooting parameter, and shooting to obtain an intermediate image;

generating a first image comprehensive optimization function according to the target standard parameter information and the intermediate image;

determining target imaging optimization parameters according to the first image comprehensive optimization function, and determining target image optimization parameters according to the first image comprehensive optimization function;

taking the target imaging optimization parameters as shooting parameters, and shooting to obtain a third image;

and adjusting the third image according to the target image optimization parameters to obtain the target image.

Optionally, the element information includes preview parameter information of the target scene and an identifier of the target scene; the image optimization information comprises a second image comprehensive optimization function and target standard parameter information of each target scene; the target standard parameter information is determined in the standard parameter information according to the identification; the target scenes comprise a first target scene and a second target scene; the second image synthesis optimization function is determined based on preview parameter information of the first target scene;

the second obtaining module 404 is further configured to:

generating a third image comprehensive optimization function according to the preview parameter information of the second target scene;

generating a fourth image comprehensive optimization function according to the second image comprehensive optimization function, the third image comprehensive optimization function and the target standard parameter information of each target scene;

determining target imaging optimization parameters according to the fourth image comprehensive optimization function, and determining target image optimization parameters according to the fourth image comprehensive optimization function;

taking the target imaging optimization parameter as a shooting parameter, and shooting to obtain a fourth image;

and adjusting the fourth image according to the target image optimization parameters to obtain the target image.

Optionally, the element information includes an identifier of the target scene; the image optimization information further comprises standard related parameters for determining the target scene according to the identification;

the apparatus 40 further comprises:

and the adjusting module is used for adjusting the original related parameters of the scene area corresponding to the target scene in the preview image into the standard related parameters of the target scene.

In summary, the image processing apparatus provided in the embodiment of the present invention may first obtain element information of a target scene in a preview image, then send the element information to a server, where the server stores standard parameter information corresponding to different scene elements in advance, and receives image optimization information returned by the server, where the image optimization information is determined by the server according to the element information and the standard parameter information, and adjusts a scene area corresponding to each target scene in the preview image according to a standard related parameter of each target scene, and finally, obtains a target image subjected to image optimization according to the image optimization information. Therefore, the standard parameter information of the high-quality image stored in the server is acquired, and the image optimization information determined based on the standard parameter information is used for image optimization, so that the effect of optimizing the image can be improved to a certain extent. Moreover, the terminal equipment can perform the image optimization information only according to the received image optimization information, so that the workload of the terminal equipment can be reduced to a certain extent, and the processing efficiency can be improved. Further, by replacing the scene area of the target scene with the pixel of the same target scene with higher imaging quality, the size of a single pixel acquired by the photosensitive element of the terminal device is not limited, the number of pixels and the pixel size in the target image can be increased, and the imaging quality of the target image can be improved.

Fig. 6 is a block diagram of an image processing apparatus according to an embodiment of the present application, and the image processing apparatus 50 may include, as shown in fig. 6:

a receiving module 501, configured to receive element information of a target scene sent by a terminal device;

a determining module 502, configured to determine image optimization information according to the element information and the standard parameter information; the standard parameter information is information corresponding to different pre-stored scene elements;

a returning module 503, configured to return the image optimization information to the terminal device.

In summary, the image processing apparatus provided in the embodiment of the present invention may first receive element information of a target scene sent by a terminal device, determine image optimization information according to the element information and standard parameter information, where the standard parameter information is information corresponding to different pre-stored scene elements, and finally return the image optimization information to the terminal device. The scene elements with higher imaging quality are stored in the server and can be used as an optimized material when the terminal equipment shoots the scene elements, so that the imaging quality of images shot by the terminal equipment can be improved, and the scene elements can be used as the supplement of processing resources of the terminal equipment to further improve the efficiency of image processing.

Optionally, the scene element information includes preview parameter information of the target scene and an identifier of the target scene;

the determining module 502 is further configured to:

searching in the standard parameter information according to the identifier, and determining target standard parameter information corresponding to the target scene;

generating a fifth image comprehensive optimization function according to the preview parameter information and the target standard parameter information;

and determining the image optimization information according to the fifth image comprehensive optimization function.

the determining module 502 is further configured to:

generating the target imaging optimization parameter according to the fifth image comprehensive optimization function, and generating the target image optimization parameter according to the fifth image comprehensive optimization function;

and taking the target imaging optimization parameter and the target image optimization parameter as the image optimization information.

Optionally, the image optimization information includes a third imaging optimization function and a second image optimization function;

the determining module 502 is further configured to:

generating the third imaging optimization function according to the fifth image comprehensive optimization function, and generating the second image optimization function according to the fifth image comprehensive optimization function;

and taking the third imaging optimization function and the second image optimization function as the image optimization information.

Optionally, the image optimization information includes the fifth image comprehensive optimization function and target standard parameter information of each target scene;

the determining module 502 is further configured to:

Optionally, the server stores standard related parameters corresponding to different scene elements; the image optimization information further comprises standard related parameters of the target scene;

the apparatus 50 further comprises:

and the third acquisition module is used for acquiring the standard related parameters corresponding to the target scene according to the identification.

In summary, the image processing apparatus provided in the embodiment of the present invention may first receive element information of a target scene sent by a terminal device, search in standard parameter information according to an identifier, determine target standard parameter information corresponding to the target scene, generate a fifth image comprehensive optimization function according to preview parameter information and the target standard parameter information, determine image optimization information according to the fifth image comprehensive optimization function, where the standard parameter information is information corresponding to different pre-stored scene elements, and finally return the image optimization information to the terminal device. The scene element with higher imaging quality is stored on the server and can be used as an optimization material when the terminal equipment shoots the scene element, so that the imaging quality of the image shot by the terminal equipment can be improved, the processing resource of the terminal equipment can be supplemented, the image processing efficiency is further improved, the terminal equipment is not limited in the hardware of the shooting device, the shot image can be optimized according to the image with higher imaging quality, and the imaging quality of the target image can be improved.

Image processing in the embodiments of the present applicationDevice for measuring the position of a moving objectMay be a device or may be a component, integrated circuit, or chip in a terminal. The device can be mobile electronic equipment or non-mobile electronic equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a self-service machine, and the like, and the embodiments of the present application are not particularly limited.

The image processing apparatus in the embodiment of the present application may be an apparatus having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and embodiments of the present application are not limited specifically.

The image processing apparatus provided in the embodiment of the present application can implement each process in the image processing method embodiments of fig. 1 to 7, and is not described herein again to avoid repetition.

Optionally, an electronic device 1000 is further provided in this embodiment of the present application, and includes a processor 1001, a memory 1002, and a program or an instruction stored in the memory 1002 and executable on the processor 1001, where the program or the instruction is executed by the processor 1001 to implement each process of the above-described embodiment of the image processing method, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.

It should be noted that the electronic device in the embodiment of the present application includes the mobile electronic device and the non-mobile electronic device described above.

The electronic device 1000 includes, but is not limited to: a radio frequency unit 1001, a network module 1002, an audio output unit 1003, an input unit 1004, a sensor 1005, a display unit 1006, a user input unit 1007, an interface unit 1008, a memory 1009, and a processor 1010.

Those skilled in the art will appreciate that the electronic device 1000 may further comprise a power source (e.g., a battery) for supplying power to various components, and the power source may be logically connected to the processor 1010 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The electronic device structure shown in fig. 7 does not constitute a limitation of the electronic device, and the electronic device may include more or less components than those shown, or combine some components, or arrange different components, and thus, the description is omitted here.

The processor 1010 is configured to obtain element information of a target scene in a preview image; sending the element information to a server; the server is pre-stored with standard parameter information corresponding to different scene elements; receiving image optimization information returned by the server; the image optimization information is determined by the server according to the element information and the standard parameter information; and acquiring a target image subjected to image optimization according to the image optimization information.

A processor 1010, configured to receive element information of a target scene sent by a terminal device; determining image optimization information according to the element information and the standard parameter information; the standard parameter information is information corresponding to different pre-stored scene elements; and returning the image optimization information to the terminal equipment.

It should be understood that in the embodiment of the present application, the input Unit 1004 may include a Graphics Processing Unit (GPU) 10041 and a microphone 10042, and the Graphics Processing Unit 10041 processes image data of still pictures or videos obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode. The display unit 1006 may include a display panel 10061, and the display panel 10061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1007 includes a touch panel 10071 and other input devices 10072. The touch panel 10071 is also referred to as a touch screen. The touch panel 10071 may include two parts, a touch detection device and a touch controller. Other input devices 10072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein. The memory 1009 may be used to store software programs as well as various data, including but not limited to application programs and operating systems. Processor 1010 may integrate an application processor that handles primarily operating systems, user interfaces, applications, etc. and a modem processor that handles primarily wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 1010.

The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the embodiment of the image processing method, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.

The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.

The embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to execute a program or an instruction to implement each process of the embodiment of the image processing method, and can achieve the same technical effect, and the details are not repeated here to avoid repetition.

It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.

While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims

1. An image processing method is applied to a terminal device, and the method comprises the following steps:

acquiring element information of a target scene in a preview image;

2. The method of claim 1, wherein the image optimization information includes target imaging optimization parameters and target image optimization parameters;

the obtaining of the target image subjected to image optimization according to the image optimization information includes:

3. The method of claim 1, wherein the element information comprises an identification of the target scene; the image optimization information is generated according to target standard parameter information corresponding to the target scene, and the target standard parameter information is determined in the standard parameter information according to the identification; the image optimization information comprises a first image optimization function and a first imaging optimization function;

4. The method of claim 1, wherein the element information comprises preview parameter information of the target scene and an identification of the target scene; the image optimization information comprises target standard parameter information and a second imaging optimization function; the target standard parameter information is determined in the standard parameter information according to the identification; the second imaging optimization function is generated based on the preview parameter information and the target standard parameter information of the same target scene;

5. The method of claim 1, wherein the element information comprises preview parameter information of the target scene and an identification of the target scene; the image optimization information comprises a second image comprehensive optimization function and target standard parameter information of each target scene; the target standard parameter information is determined in the standard parameter information according to the identification; the target scenes comprise a first target scene and a second target scene; the second image synthesis optimization function is determined based on preview parameter information of the first target scene;

6. The method according to any of claims 1-5, wherein the element information comprises an identification of the target scene; the image optimization information further comprises standard related parameters of the target scene determined according to the identification;

before the obtaining of the target image subjected to image optimization according to the image optimization information, the method further includes:

7. An image processing method applied to a server, the method comprising:

receiving element information of a target scene sent by terminal equipment;

and returning the image optimization information to the terminal equipment.

8. The method of claim 7, wherein the scene element information comprises preview parameter information of the target scene and an identification of the target scene;

the determining image optimization information according to the element information and the standard parameter information includes:

9. The method of claim 8, wherein the image optimization information includes target imaging optimization parameters and target image optimization parameters; the determining the image optimization information according to the fifth image comprehensive optimization function includes:

10. The method of claim 8, wherein the image optimization information comprises a third imaging optimization function and a second image optimization function; the determining the image optimization information according to the fifth image comprehensive optimization function includes:

11. The method according to claim 8, wherein the image optimization information includes the fifth image synthesis optimization function and target standard parameter information of each target scene; the determining the image optimization information according to the fifth image comprehensive optimization function includes:

12. The method according to claims 8-11, wherein standard related parameters corresponding to different scene elements are stored in the server; the image optimization information further comprises standard related parameters of the target scene; the method further comprises the following steps:

13. An image processing apparatus, applied to a terminal device, the apparatus comprising:

14. The apparatus of claim 13, wherein the image optimization information comprises target imaging optimization parameters and target image optimization parameters;

the second obtaining module is further configured to:

15. The apparatus of claim 13, wherein the element information comprises an identification of the target scene; the image optimization information is generated according to target standard parameter information corresponding to the target scene, and the target standard parameter information is determined in the standard parameter information according to the identification; the image optimization information comprises a first image optimization function and a first imaging optimization function;

the second obtaining module is further configured to:

16. The apparatus of claim 13, wherein the element information comprises preview parameter information of the target scene and an identification of the target scene; the image optimization information comprises target standard parameter information and a second imaging optimization function; the target standard parameter information is determined in the standard parameter information according to the identification; the second imaging optimization function is generated based on the preview parameter information and the target standard parameter information of the same target scene;

the second obtaining module is further configured to:

17. The apparatus of claim 13, wherein the element information comprises preview parameter information of the target scene and an identification of the target scene; the image optimization information comprises a second image comprehensive optimization function and target standard parameter information of each target scene; the target standard parameter information is determined in the standard parameter information according to the identification; the target scenes comprise a first target scene and a second target scene; the second image synthesis optimization function is determined based on preview parameter information of the first target scene;

the second obtaining module is further configured to:

18. The apparatus according to any of claims 13-17, wherein the element information comprises an identification of the target scene; the image optimization information further comprises standard related parameters for determining the target scene according to the identification;

the device, still include:

19. An image processing apparatus applied to a server, the apparatus comprising:

20. The apparatus of claim 19, wherein the scene element information comprises preview parameter information of the target scene and an identification of the target scene;

the determining module is further configured to:

21. The apparatus of claim 20, wherein the image optimization information comprises target imaging optimization parameters and target image optimization parameters;

the determining module is further configured to:

22. The apparatus of claim 20, wherein the image optimization information comprises a third imaging optimization function and a second image optimization function;

the determining module is further configured to:

23. The apparatus according to claim 20, wherein the image optimization information includes the fifth image synthesis optimization function and target standard parameter information of each target scene;

the determining module is further configured to:

24. The apparatus according to claims 20-11, wherein the server stores standard related parameters corresponding to different scene elements; the image optimization information further comprises standard related parameters of the target scene;

the device further comprises:

25. An electronic device comprising a processor, a memory and a program or instructions stored on the memory and executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the image processing method according to any one of claims 1 to 6.

26. A readable storage medium, characterized in that it stores thereon a program or instructions which, when executed by a processor, implement the steps of the image processing method according to any one of claims 1 to 6.

27. An electronic device comprising a processor, a memory and a program or instructions stored on the memory and executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the image processing method according to any one of claims 7 to 12.

28. A readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the image processing method according to any one of claims 7 to 12.