CN115695945A

CN115695945A - Image processing method and device, electronic equipment and computer readable storage medium

Info

Publication number: CN115695945A
Application number: CN202110873133.XA
Authority: CN
Inventors: 王海君; 王文龙; 冯腾飞
Original assignee: Ruiting Network Technology Shanghai Co ltd
Current assignee: Ruiting Network Technology Shanghai Co ltd
Priority date: 2021-07-30
Filing date: 2021-07-30
Publication date: 2023-02-03

Abstract

An image processing method, an image processing apparatus, an electronic device, and a computer-readable storage medium. The image processing method comprises the following steps: acquiring at least one initial image; acquiring first additional image information for at least one initial image, the first additional image information being remotely acquired; generating an image to be verified of each initial image in the at least one initial image based on the first additional image information and the at least one initial image; and sending the image to be verified to extract first additional image information from the image to be verified and verify the authenticity of the image to be verified according to the first additional image information. The method can not only improve the difficulty of counterfeiting the image to be verified, but also improve the reliability of the verification result of verifying the authenticity of the image to be verified.

Description

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

Technical Field

Embodiments of the present disclosure relate to an image processing method and apparatus, an electronic device, and a computer-readable storage medium.

Background

With the development of scientific technology, image processing technology is widely applied to various fields. The wide application of the image processing technology brings great convenience to the life of people. For example, in the housing field, the housing video displayed in the housing application program can help people to know the house type, the decoration degree and other information of the housing, which greatly reduces the time cost and the labor cost for people to understand the housing.

Disclosure of Invention

At least one embodiment of the present disclosure provides an image processing method, including: acquiring at least one initial image; acquiring first additional image information for at least one initial image, the first additional image information being acquired remotely; generating an image to be verified of each initial image in the at least one initial image based on the first additional image information and the at least one initial image; and sending the image to be verified to extract the first additional image information from the image to be verified and verifying the authenticity of the image to be verified according to the first additional image information.

For example, in an image processing method provided by an embodiment of the present disclosure, acquiring at least one initial image includes: acquiring at least one initial image in response to an image acquisition operation instruction; and acquiring first additional image information for at least one initial image, comprising: and in response to the image acquisition operation instruction, acquiring first additional image information for at least one initial image, wherein the acquisition of the at least one initial image is performed after the acquisition of the first additional image information for the at least one initial image or is performed at the same time as the acquisition of the first additional image information for the at least one initial image.

For example, in an image processing method provided by at least one embodiment of the present disclosure, acquiring first additional image information for at least one initial image includes: and sending an acquisition request to the far-end electronic equipment in response to the trigger event, and remotely acquiring first additional image information from the far-end electronic equipment after the far-end electronic equipment generates the first additional image information in response to the acquisition request, wherein the first additional image information is used for verifying the authenticity of at least one image to be verified in a first verification mode.

For example, in an image processing method provided by at least one embodiment of the present disclosure, the at least one initial image includes N initial image groups, the number of the first additional image information is N, the N first additional image information are different from each other, the N first additional image information respectively correspond to the N initial image groups, and N is an integer greater than 1, and an image to be verified of each initial image in the at least one initial image is generated based on the first additional image information and the at least one initial image, including: and generating an image to be verified of each initial image in the initial image group based on the first additional image information corresponding to each initial image group in the N initial image groups and each initial image in the initial image group.

For example, in an image processing method provided by at least one embodiment of the present disclosure, the first additional image information includes additional text content and parameter information of the additional text content, and the parameter information of the additional text content includes at least one of the following information: color information of at least part of the additional text content, position information of at least part of the additional text content in the initial image, size information of at least part of the additional text content, font information of at least part of the additional text content, and angle information of at least part of the additional text content relative to the reference line.

For example, in an image processing method provided by at least one embodiment of the present disclosure, acquiring at least one initial image includes: acquiring an initial video, wherein the initial video comprises at least one initial image; and generating an image to be verified of each initial image in the at least one initial image based on the first additional image information and the at least one initial image, including: and generating a video to be verified based on the first additional image information and the initial video, wherein the video to be verified comprises an image to be verified of each initial image in at least one initial image.

For example, in an image processing method provided by at least one embodiment of the present disclosure, an initial video includes a plurality of image frames, and a to-be-verified video is generated based on first additional image information and the initial video, including: selecting at least a part of image frames from a plurality of image frames as at least one initial image; and changing at least one initial image based on the additional image information to generate a video to be verified.

For example, in an image processing method provided by at least one embodiment of the present disclosure, generating an image to be verified of each initial image in at least one initial image based on the first additional image information and the at least one initial image includes: generating an additional image based on the first additional image information; and superimposing the additional image on each of the at least one initial image to generate an image to be verified for each of the at least one initial image.

The image processing method provided by at least one embodiment of the present disclosure further includes: locally generating second additional image information, wherein the second additional image information is used for verifying the authenticity of at least one image to be verified in a second verification mode, the second verification mode is different from the first verification mode, and the second additional image information and the at least one initial image are used for generating the image to be verified of each initial image in the at least one initial image, and the method comprises the following steps: and generating an image to be verified of each initial image in the at least one initial image based on the first additional image information, the second additional image information and the at least one initial image.

For example, in an image processing method provided by at least one embodiment of the present disclosure, the second additional image information includes at least one of: noise, lines, patterns, and twist angles.

At least one embodiment of the present disclosure provides an image processing method, including: responding to an acquisition request from image acquisition equipment, and generating first additional image information, wherein the acquisition request is used for requesting to acquire the first additional image information for verifying the authenticity of at least one image to be verified; and storing and sending the first additional image information to enable the image acquisition device to use the first additional image information for at least one initial image acquired by the image acquisition device, so as to generate a respective image to be verified of each initial image in the at least one initial image according to the first additional image information and the at least one initial image.

The image processing method provided by at least one embodiment of the present disclosure further includes: in response to receiving at least one image to be verified from the image acquisition device, acquiring verification additional image information from the at least one image to be verified, the verification additional image information being used for verifying the at least one image to be verified; and comparing the verification additional image information with the stored first additional image information to verify the authenticity of the at least one image to be verified.

For example, in an image processing method provided by at least one embodiment of the present disclosure, generating first additional image information in response to an acquisition request from an image acquisition apparatus includes: generating additional text content in response to an acquisition request from the image acquisition device; parameter information of the additional text content is determined, and first additional image information is generated based on the additional text content and the parameter information.

For example, in an image processing method provided by at least one embodiment of the present disclosure, generating additional text content in response to an acquisition request from the image acquisition device includes: selecting at least one preset initial content from a plurality of preset initial contents as an additional text content in response to an acquisition request from the image acquisition device; or in response to an acquisition request from the image acquisition device, randomly generating additional text content.

For example, in an image processing method provided by at least one embodiment of the present disclosure, determining parameter information of the additional text content includes at least one of: accessing a font resource library, and selecting font information of at least part of additional text content from the font resource library; determining position information and size information of at least part of the additional text content in each of the at least one initial image; determining angle information of at least part of the additional text content relative to a reference line through a tilting algorithm; and determining color information of at least part of the additional text content by a color algorithm.

For example, in an image processing method provided by at least one embodiment of the present disclosure, a video to be verified includes the at least one image to be verified, and in response to receiving the at least one image to be verified from the image obtaining device, obtaining verification additional image information from the at least one image to be verified includes: in response to receiving a video to be verified from an image acquisition device, acquiring at least one image to be verified in the video to be verified; and extracting verification additional image information of at least one image to be verified.

At least one embodiment of the present disclosure provides an image processing apparatus including: a first acquisition unit configured to acquire at least one initial image; a second acquisition unit configured to acquire first additional image information for at least one initial image, the first additional image information being remotely acquired; an image generating unit configured to generate an image to be verified of each of the at least one initial image based on the first additional image information and the at least one initial image; and the image sending unit is configured to send the image to be verified, so as to be used for extracting the first additional image information from the image to be verified and verifying the authenticity of the image to be verified according to the first additional image information.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, the first acquiring unit includes: an acquisition subunit configured to acquire the at least one initial image in response to an image acquisition operation instruction, the second acquisition unit including: a first additional image information acquisition subunit configured to acquire, in response to the image acquisition operation instruction, first additional image information for the at least one initial image, the acquisition of the at least one initial image being performed after or simultaneously with the acquisition of the first additional image information for the at least one initial image.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, the second acquiring unit includes: the trigger acquisition subunit is configured to send an acquisition request to the remote electronic device in response to a trigger event, and remotely acquire first additional image information from the remote electronic device after the remote electronic device generates the first additional image information in response to the acquisition request, where the first additional image information is used to verify the authenticity of at least one image to be verified in a first verification manner.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, at least one original image includes N original image groups, the number of the first additional image information is N, the N first additional image information are different from each other, the N first additional image information correspond to the N original image groups, respectively, N is an integer greater than 1, and the image generating unit includes: and the first image generation subunit is configured to generate an image to be verified of each initial image in the initial image group based on the first additional image information corresponding to each initial image group in the N initial image groups and each initial image in the initial image group.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, the first additional image information includes additional text content and parameter information of the additional text content, and the parameter information of the additional text content includes at least one of the following information: color information of at least a part of the additional text content, position information of at least a part of the additional text content in the initial image, size information of at least a part of the additional text content, font information of at least a part of the additional text content, and angle information of at least a part of the additional text content with respect to a reference line.

For example, in an image processing apparatus provided by at least one embodiment of the present disclosure, the first obtaining unit includes a video obtaining subunit configured to obtain an initial video, the initial video including at least one initial image, and the image generating unit includes a video generating subunit configured to generate a video to be verified based on the first additional image information and the initial video, the video to be verified including an image to be verified of each initial image in the at least one initial image.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, an initial video includes a plurality of image frames, and the video generation subunit includes: a selection subunit configured to select at least a part of the image frames from the plurality of image frames as at least one initial image; and a changing subunit configured to change the at least one initial image based on the additional image information to generate a video to be verified.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, an image generating unit includes: an additional image generation subunit configured to generate an additional image based on the first additional image information; and an overlay subunit configured to overlay the additional image into each of the at least one initial image, thereby generating an image to be verified for each of the at least one initial image.

For example, in an image processing apparatus provided by at least one embodiment of the present disclosure, the image processing apparatus further includes a second additional image information generating unit configured to locally generate second additional image information, where the second additional image information is used to verify authenticity of the at least one image to be verified by a second verification method, and the second verification method is different from the first verification method, and the image generating unit includes: and the second image generation subunit is configured to generate an image to be verified of each initial image in the at least one initial image based on the first additional image information, the second additional image information and the at least one initial image.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, the second additional image information includes at least one of: noise, lines, patterns, and twist angles.

At least one embodiment of the present disclosure provides an image processing apparatus including: an information generating unit configured to generate first additional image information in response to an acquisition request from an image acquisition device, the acquisition request requesting acquisition of the first additional image information for verifying authenticity of at least one image to be verified; and the image processing unit is configured to store and transmit the first additional image information so as to enable the image acquisition device to use the first additional image information for at least one initial image acquired by the image acquisition device, and to generate a respective to-be-verified image of each initial image in the at least one initial image according to the first additional image information and the at least one initial image.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, the image processing apparatus further includes: a verification additional image information acquisition unit configured to acquire verification additional image information from the at least one image to be verified in response to receiving the at least one image to be verified from the image acquisition device, the verification additional image information being used for verifying the at least one image to be verified; and a comparing unit configured to compare the verification additional image information with the stored first additional image information to verify authenticity of the at least one image to be verified.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, the information generating unit includes: an additional text generation subunit configured to generate additional text content in response to an acquisition request from the image acquisition device; a determining subunit configured to determine parameter information of the additional text content, and a first additional image information generating subunit configured to generate first additional image information based on the additional text content and the parameter information.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, the additional text generation subunit includes a selection subunit configured to select, in response to an acquisition request from the image acquisition device, at least one preset initial content from among a plurality of preset initial contents as the additional text content; or a random generation subunit configured to randomly generate the additional text content.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, the determining subunit includes at least one of: a first determining subunit, configured to access a font resource library, and select font information of at least part of the additional text content from the font resource library; a second determining subunit configured to determine position information and size information of at least part of the additional text content in each of the at least one initial image; a third determining subunit configured to determine angle information of at least part of the additional text content with respect to the reference line by a tilt algorithm; and a fourth determining subunit configured to determine color information of at least part of the additional text content by a color algorithm.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, a video to be authenticated includes at least one image to be authenticated, and the authentication additional image information obtaining unit includes: the response subunit is configured to respond to the video to be verified received from the image acquisition equipment, and acquire at least one image to be verified from the video to be verified; and an extraction subunit configured to extract authentication additional image information of the at least one image to be authenticated.

At least one embodiment of the present disclosure provides an electronic device, comprising a processor; a memory including one or more computer program modules; wherein one or more computer program modules are stored in the memory and configured to be executed by the processor, the one or more computer program modules comprising instructions for implementing the image processing method provided by any of the embodiments of the present disclosure.

At least one embodiment of the present disclosure provides a computer-readable storage medium for storing non-transitory computer-readable instructions, which when executed by a computer, can implement an image processing method provided by any embodiment of the present disclosure.

Drawings

To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments will be briefly introduced below, and it is apparent that the drawings in the following description relate only to some embodiments of the present disclosure and are not limiting to the present disclosure.

Fig. 1 illustrates a system architecture applied to an image processing method according to at least one embodiment of the present disclosure.

Fig. 2A illustrates a flowchart of an image processing method according to at least one embodiment of the present disclosure.

Fig. 2B shows a schematic diagram of an initial image.

Fig. 3A illustrates a flowchart of a method of step S203 in fig. 2A according to at least one embodiment of the present disclosure.

Fig. 3B illustrates a schematic diagram of additional images provided by at least one embodiment of the present disclosure.

Fig. 3C illustrates a schematic diagram of an image to be authenticated provided by at least one embodiment of the present disclosure.

Fig. 4 shows a flowchart of a method for generating a video to be verified based on first additional image information and an initial video according to at least one embodiment of the present disclosure.

Fig. 5 shows a flowchart of another image processing method provided by at least one embodiment of the present disclosure.

Fig. 6 shows a flowchart of an image processing method according to at least one embodiment of the present disclosure.

Fig. 7 illustrates a flowchart of a method of step S601 in fig. 6 according to at least one embodiment of the present disclosure.

Fig. 8 is a flowchart illustrating another image processing method according to at least one embodiment of the present disclosure.

Fig. 9 shows a flowchart of another image processing method provided by at least one embodiment of the present disclosure.

Fig. 10A illustrates a schematic block diagram of an image processing apparatus provided in at least one embodiment of the present disclosure;

fig. 10B illustrates a schematic block diagram of another image processing apparatus provided in at least one embodiment of the present disclosure;

fig. 11A illustrates a schematic block diagram of an electronic device provided by at least one embodiment of the present disclosure;

fig. 11B illustrates a schematic block diagram of another electronic device provided by at least one embodiment of the present disclosure; and

fig. 12 illustrates a schematic diagram of a computer-readable storage medium provided by at least one embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings of the embodiments of the present disclosure. It is to be understood that the described embodiments are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the disclosure without any inventive step, are within the scope of protection of the disclosure.

Unless otherwise defined, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this disclosure belongs. The use of "first," "second," and similar terms in this disclosure is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. Also, the use of the terms "a," "an," or "the" and similar referents do not denote a limitation of quantity, but rather denote the presence of at least one. The word "comprising" or "comprises", and the like, means that the element or item preceding the word comprises the element or item listed after the word and its equivalent, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used only to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.

With the widespread use of image processing technology, images become the main carrier of information dissemination. It should be noted that in the present disclosure, an image includes at least one picture or a video formed by a plurality of image frames. For example, video may serve as a carrier for dissemination of news, advertisements, and the like. The authenticity of the image is particularly important since it serves as the main carrier of information dissemination. If the forged image is released into the network, not only can the propagation of false information be caused, but also the trust crisis can be caused. For example, for a house broker, the house source information is often displayed in the house source application program through an image, and if the image is forged (i.e., the house source information displayed by the image does not conform to the actual house source), the image may cause the wrong understanding of the house source by the audience, which not only wastes the time and energy of the audience, but also loses the trust of the audience on the house source application program. Therefore, it is very important to perform anti-counterfeit processing on an image and to verify whether the image is a real image. The real image means that the information displayed by the image is consistent with the actual shooting scene of the house source. In the related art, it is difficult to perform anti-counterfeit processing on an image, resulting in an image being easily forged, and it is difficult to accurately recognize whether the image is genuine.

At least one embodiment of the present disclosure provides an image processing method, an image processing apparatus, an electronic device, and a computer-readable storage medium. The image processing method comprises the following steps: acquiring at least one initial image; acquiring first additional image information for at least one initial image, the first additional image information being remotely acquired; generating an image to be verified of each initial image in the at least one initial image based on the first additional image information and the at least one initial image; and sending the image to be verified to extract the first additional image information from the image to be verified and verifying the authenticity of the image to be verified according to the first additional image information.

The image processing method of the embodiment can perform anti-counterfeiting processing on at least one initial image by using the first additional image information acquired from the remote location to generate the image to be verified of each initial image, so as to verify the authenticity of the image to be verified by using the first additional image information. Moreover, the first additional image information is specific to the initial image, so that the image to be verified generated according to the initial image can be verified by using the first additional image information, and the reliability of a verification result for verifying the authenticity of the image to be verified is improved.

Fig. 1 illustrates a system architecture 100 applied to an image processing method according to at least one embodiment of the present disclosure.

As shown in fig. 1, the system architecture 100 may include a terminal device 101, a server 102, and a communication network 103.

A user may use terminal device 101 to interact with server 102 over communication network 103 to receive or send messages. The communication network 103 is used to provide a medium for communication links between the terminal device 101 and the server 102. The communication network 103 may comprise various connection types, such as wired or wireless communication links, in particular, such as WIFI, 3G, 4G, 5G, and fiber optic cables, among others.

The terminal device 101 may be various electronic devices with a display screen, including but not limited to a smartphone, a tablet computer, a notebook computer, and the like, the product type of the terminal device 101 is not limited in the embodiments of the present disclosure, and for example, the terminal device may be based on various available operating systems, such as Windows, android, IOS, and the like. Various application programs (APP) such as shopping applications, web browser applications, instant messenger applications, etc. may be installed in the terminal device 101, or applets, quick applications, etc. may be downloaded and run through an application platform (e.g., wechat, pay, etc.). For example, the house source application related to the embodiment of the present disclosure may be implemented as an independent APP, an applet, a fast application, or the like, and may also be implemented as a plug-in running through a browser, and the embodiment of the present disclosure is not limited to this.

The server 102 may be a server that provides various services, such as a background server that provides support for websites, applets, or applications that a user browses using the terminal apparatus 101. The server 102 may, for example, perform processing such as analysis on data such as a received request, and feed back a processing result (e.g., a web page, information, or data obtained or generated in accordance with the request) to the terminal apparatus 101. The server 102 may be an independent physical server, a server cluster or a distributed system configured by a plurality of physical servers, a cloud server, or the like.

An implementation of an image processing method provided by at least one embodiment of the present disclosure is described below with reference to fig. 2A and 2B, fig. 3A to 3C, and fig. 4 to 9. For example, the image processing methods shown in fig. 2A and 2B, fig. 3A to 3C, and fig. 4 and 5 hereinafter may be performed by, for example, an application program in the terminal device 101 in the system architecture 100 described in fig. 1, and the image processing methods shown in fig. 6 to 9 may be performed by, for example, the server 102 in the system architecture 100 described in fig. 1.

As shown in fig. 2A, the image processing method includes steps S201 to S204.

Step S201: at least one initial image is acquired.

Step S202: first additional image information for at least one initial image is acquired, the first additional image information being acquired remotely.

Step S203: and generating an image to be verified of each initial image in the at least one initial image based on the first additional image information and the at least one initial image.

Step S204: and sending the image to be verified to extract first additional image information from the image to be verified and verifying the authenticity of the image to be verified according to the first additional image information.

The image processing method can utilize the first additional image information obtained from a remote place to carry out anti-counterfeiting processing on at least one initial image to generate the image to be verified of each initial image, so that the authenticity of the image to be verified is verified by utilizing the first additional image information, the difficulty of counterfeiting the image to be verified is improved, and the reliability of a verification result for verifying the authenticity of the image to be verified is improved.

For step S201, for example, at least one initial image may be one picture or a plurality of pictures. For another example, the at least one initial image may be a piece of video or a plurality of pieces of video. Alternatively, one piece of video or a plurality of pieces of video comprises a plurality of image frames, and at least one initial image is a partial image frame in the plurality of image frames.

For example, the acquiring of the at least one initial image may be a real-time capturing of a picture or a video of a place in an indoor environment, such as a room, a corridor, a staircase, and the like, an outdoor environment, and the like, by using a camera of the terminal device 101 shown in fig. 1, or may be a reading of the at least one initial image from a local storage device.

In some embodiments of the present disclosure, step S201 may include acquiring at least one initial image in response to the image acquisition operation instruction. For example, after the user logs in the house source application program, the user clicks a "shoot" or similar icon in the application program to generate an image capture operation instruction, and in response to the image capture operation instruction, the house source application program jumps to an image capture interface to start capturing images.

With respect to step S202, in some embodiments of the present disclosure, the first additional image information includes information of a plurality of different dimensions. For example, the first additional image information may include additional text content, and parameter information of the additional text content. The parameter information of the additional text content includes at least one of the following information: color information of at least part of the additional text content, position information of at least part of the additional text content in the initial image, size information of at least part of the additional text content, font information of at least part of the additional text content, and angle information of at least part of the additional text content relative to the reference line. That is, the plurality of different dimensions may include a plurality of the additional text content, color information of at least a portion of the additional text content, position information of at least a portion of the additional text content in the initial image, size information of at least a portion of the additional text content, font information of at least a portion of the additional text content, angle information of at least a portion of the additional text content with respect to the reference line, and the like.

Since the first additional image information contains information of a plurality of different dimensions, the image to be verified can be verified or cross-verified from the plurality of dimensions based on the first additional image information, which further improves the difficulty of counterfeiting the image or the video and also further improves the reliability of the verification result of verifying the image to be verified.

It is to be understood that the first additional image information is not limited to the above-mentioned multiple dimensions, and the first additional image may also include information of other dimensions, such as the spacing between adjacent additional texts.

For example, the additional text content may be any type of character such as numbers, punctuation marks, letters, chinese characters, etc., or a combination of different types of characters such as numbers, punctuation marks, letters, chinese characters, japanese, korean, etc. For example, the additional textual content may be "123ABC".

For example, the color information of at least part of the additional text content may refer to a color of each character in the additional text content. For example, in "123ABC", characters 1,2,3, A, B, C have respective RGB values (here, it is assumed that the gray scale is divided into 0 to 255), the RGB color of the characters 1,2,3 is (10,70,66), and the RGB color of the character A, B, C is (200,100,75). As another example, each character in "123ABC" has the same RGB value.

For example, the position information of at least part of the additional text content in the initial images may refer to the relative position of part of the additional text content in each of the initial images. The location of the additional text content in the initial image for unspecified location information may be random or a default location. Alternatively, the position information of at least part of the additional text content in the initial image may refer to a relative position of the additional text content as a whole in each initial image, or a relative position of each of the additional text content in the initial image. For example, the position information may include the relative position of "123" as a whole in each initial image, or the relative position of "123ABC" as a whole in each initial image.

Fig. 2B shows a schematic view of an initial image 200. The position information of at least part of the additional text content in the initial image is described below with reference to fig. 2B.

For example, as shown in fig. 2B, a coordinate system is established with the upper left corner a of the initial image 200 as the origin, the horizontal right as the X-axis, and the vertical downward as the Y-axis, and the position information of at least part of the additional text content in the initial image may be the coordinates of at least part of the additional text content in the coordinate system.

For example, the additional text content "123ABC" is defined within a box including 4 vertices, and the position information of the additional text content "123ABC" in the initial image may be coordinates of the four vertices of the box in the above-mentioned coordinate system.

It should be understood that the above-mentioned position information is only an example, and has no limiting effect on the present disclosure.

For example, the size information of at least a part of the additional text content may refer to the length and width of a part of characters in the entire additional text content or the additional text content. For example, in units of pixels, "123ABC" has a length of 200 pixels and a width of 50 pixels.

For example, the font information of at least part of the additional text content may refer to a font type of each character in the additional text content. For example, the font of the characters 1,2,3 is bold, and the font of the characters A, B, C is sons.

In some embodiments of the present disclosure, the font type may be a font that can be used by an application program of the terminal device (for example, a font installed in an operating system of the terminal device), including some existing open-source font types that can be obtained by those skilled in the art (for example, bold, sons, etc.), or may be a font type that is designed by those skilled in the art, and the embodiments of the present disclosure do not limit the font type.

For example, the angle information of at least part of the additional text content relative to the reference line may refer to a rotation angle of part of characters in the entire additional text content or the additional text content relative to the reference line. As shown in fig. 2B, for example, the reference line may be a center line BC of the initial image.

In some embodiments of the present disclosure, for example, step S202 may be to acquire first additional image information of at least one initial image from a server. For example, in the system architecture shown in fig. 1, the terminal device 101 may transmit an acquisition request for acquiring the first additional image information to the server 102, and after the server 102 generates the first additional image information in response to the acquisition request, the terminal device 101 remotely acquires the first additional image information from the server 102.

In some embodiments of the present disclosure, step S202 may include sending an acquisition request to the remote electronic device in response to a trigger event, and remotely acquiring first additional image information from the remote electronic device after the remote electronic device generates the first additional image information in response to the acquisition request, where the first additional image information is used to verify authenticity of at least one image to be verified by a first verification method.

For example, the trigger event may be the acquisition of an image acquisition operation instruction. For another example, the triggering event may be that a duration of acquiring at least one initial image satisfies a preset duration, for example, the preset duration is 5s, and a person skilled in the art may set the preset duration according to actual needs.

The above embodiment is described by taking the remote electronic device as the server 102 shown in fig. 1 as an example. For example, the terminal apparatus 101 transmits an acquisition request to the server 102 in response to a trigger event, and after the server 102 generates first additional image information in response to the acquisition request, transmits the first additional image information to the terminal apparatus 101, and the terminal apparatus 101 receives the first additional image information from the server 102.

In some embodiments of the present disclosure, the first authentication means may be authentication by a remote electronic device that generates the first additional image information. For example, in the system architecture illustrated in fig. 1, the authenticity of the image to be verified is verified by the server 102 based on the first additional image information.

In some embodiments of the present disclosure, in response to the acquisition request, the server may generate an image number in addition to the first additional image information, and transmit the image number to the terminal device so that the image to be authenticated generated by the terminal device includes the image number. After the server generates the first additional image information and the image number in response to the acquisition request, the image number and the first additional image information are stored in a one-to-one correspondence manner. For example, the server 102 stores therein a correspondence relationship between an image number and first additional image information. In the case where the server 102 receives the image to be authenticated from the terminal apparatus 101, the server 102 obtains an image number of the image to be authenticated from the image to be authenticated, and finds a correspondence relationship from the image number to obtain first additional image information corresponding to the image number. In addition, the server 102 may also perform parsing of the image to be authenticated from the terminal device 101 to obtain the first additional image information in the image to be authenticated, where the first additional image information in the image to be authenticated serves as the authentication additional image information, and comparing the authentication additional image information with the first additional image information corresponding to the image number. If the verification additional image information is consistent with the first additional image information corresponding to the image number, the image to be verified is a real image, and if the first additional image information in the image to be verified is inconsistent with the first additional image information corresponding to the image number, the image to be verified is a false image.

In some embodiments of the present disclosure, step S201 includes acquiring at least one initial image in response to the image acquisition operation instruction, and step S202 includes acquiring first additional image information for the at least one initial image in response to the image acquisition operation instruction, and the acquiring the at least one initial image is performed after or simultaneously with the acquiring the first additional image information for the at least one initial image.

For example, the terminal device 101 jumps to an image or video capture interface to start capturing at least one initial image after acquiring the first additional image information for the at least one initial image.

For another example, the first additional image information has timeliness, and if the terminal device does not capture an image or a video within a preset time period after the first additional image information is acquired, the first additional image information is invalid.

For example, the terminal device concurrently sends an acquisition request for acquiring first additional image information for the at least one initial image to the server while jumping to the image or video capturing interface and starting to acquire the at least one initial image.

The first additional image information and the at least one initial image are acquired sequentially or simultaneously in response to the image acquisition operation instruction, so that the real-time property and the timeliness of the acquisition of the first additional image information and the at least one initial image can be ensured, and the situation that an image shot long before is used as the shot initial image and the first additional image information is acquired at a time irrelevant to the acquisition of the first additional image information is at least partially avoided, so that the difficulty of counterfeiting the first additional image information and the at least one initial image is further improved.

In some embodiments of the present disclosure, the at least one original image includes N original image groups, the number of the first additional image information is N, the N first additional image information are different from each other, and the N first additional image information respectively correspond to the N original image groups, for example, each of the N original image groups corresponds to one first additional image information, where N is an integer greater than 1. In this embodiment, step S203 may include: and generating an image to be verified of each initial image in the initial image group based on the first additional image information corresponding to each initial image group in the N initial image groups and each initial image in the initial image group.

For example, 10 initial images are divided into 3 initial image groups, which are a first initial image group, a second initial image group, and a third initial image group, respectively. The first set of initial images comprises 2 initial images, the second set of initial images comprises 3 initial images and the third set of initial images comprises 5 initial images. The number of the first additional image information is 3, the additional image information P1, the additional image information P2, and the additional image information P3 are respectively, and the additional image information P1, the additional image information P2, and the additional image information P3 are different from each other. For example, 2 original pictures in the first group of original pictures correspond to the additional picture information P1, 3 original pictures in the second group of original pictures correspond to the additional picture information P2, and 5 original pictures in the third group of original pictures correspond to the additional picture information P3. And generating the images to be verified of each initial image in the first initial image group according to the additional image information P1 for the 2 initial images in the first initial image group. Similarly, for 3 original images in the second original image group, an image to be verified of each original image in the second original image group is generated according to the additional image information P2. And generating an image to be verified of each initial image in the third initial image group according to the additional image information P3 for 5 initial images in the third initial image group.

The method comprises the steps of dividing at least one initial image into N (N > 1) initial image groups, wherein each initial image group corresponds to different first additional image information, and because each initial image group corresponds to different first additional image information respectively, a forger is difficult to forge a plurality of pieces of first additional image information, so that the forging difficulty is further improved, images to be verified can be verified through different initial image groups respectively, and the verification reliability is improved.

As shown in fig. 3A, the method may include steps S301 to S302.

Step S301: based on the first additional image information, an additional image is generated.

For example, the additional image is generated based on the additional text content, color information of at least a part of the additional text content, position information of at least a part of the additional text content in the initial image, size information of at least a part of the additional text content, font information of at least a part of the additional text content, angle information of at least a part of the additional text content with respect to a reference line, and the like. The additional image serves, for example, as a watermark for the at least one initial image.

In some embodiments of the present disclosure, one or more additional images are generated based on the first additional image information. If a plurality of additional images are generated, the plurality of additional images are different, the plurality of additional images are respectively used for different initial image groups, and each initial image group comprises at least one initial image.

Step S302: and superposing the additional images to each initial image in the at least one initial image so as to generate an image to be verified of each initial image in the at least one initial image.

For example, the additional image (i.e., watermark) generated by the first additional image information is superimposed as a new image layer into each initial image to obtain the image to be verified of each initial image. For example, the superimposed additional image may or may not be visually visible to the naked eye (e.g., reduced visibility relative to the original image).

An embodiment of the method described above with respect to fig. 3A is described below in conjunction with fig. 3B and 3C. Fig. 3B illustrates a schematic diagram of additional images provided by at least one embodiment of the present disclosure. Fig. 3C illustrates a schematic diagram of an image to be verified provided by at least one embodiment of the present disclosure.

As shown in fig. 3B, for example, it is determined from the additional image information that the additional text content is "123ABC", the color information of the characters 1,2, and 3 in the additional text content is, for example, (200,92,45) (the color in the figure is not shown), the color information of the character A, B, C is, for example, (88,76,102) (the color in the figure is not shown), the position information of the additional text content "123ABC" in the initial image includes coordinates in a coordinate system of four vertexes D1, D2, D3, and D4 defining a box of the additional text content "123ABC", the font information of the additional text content "123ABC" is song, and the angle information of the additional text content "123ABC" with respect to the reference line is 60 degrees, and the additional image 210 is generated as the watermark of the initial image 200.

It is to be understood that the blocks shown in fig. 3B may not be the content of the watermark, i.e. not be displayed in the additional image 210, fig. 3B only showing blocks for ease of understanding. Of course, the box may also be part of the additional image 210.

As shown in fig. 3C, the additional image 210 is superimposed as a layer on the initial image 200 to obtain an image 300 to be verified. The terminal device may render the watermark onto the original image 200 via a Software Development Kit (SDK) of filters or other means.

It is to be understood that fig. 3B and 3C are only schematic representations and are not limiting of the present disclosure.

In other embodiments of the present disclosure, step S203 in fig. 2A may include: based on the first additional image information, at least one of the initial images is changed to generate an image to be verified for each of the initial images.

For example, according to the additional text content in the first additional image information, the position information of at least part of the additional text content in the initial image, the size information of at least part of the additional text content, the angle information of at least part of the additional text content relative to the reference line and other information, the pixel to be adjusted is determined from the initial image, the target pixel value of the pixel to be adjusted is determined according to the color information of at least part of the additional text content, and then the pixel value of the pixel to be adjusted is adjusted to the target pixel value, so as to obtain the image to be verified of each initial image. And the terminal equipment adjusts the pixel value of the pixel to be adjusted through the SDK of the filter to obtain the image to be verified of each initial image.

In some embodiments of the present disclosure, step S203 may be to generate an image to be verified of each of the at least one initial image in real time based on the first additional image information and the at least one initial image. For example, each time an initial image and first additional image information corresponding to the initial image are acquired, an image to be verified of the initial image is generated, so that the generated image to be verified can be ensured to have real-time performance, and the counterfeiting difficulty is further improved.

In other embodiments of the disclosure, the image to be verified of each initial image is generated within a preset time period after all of the at least one initial image and the first additional image information corresponding to each initial image are acquired. The preset time period may be a short time period such as 1 second(s), 2 seconds, or the like.

In some embodiments of the present disclosure, acquiring at least one initial image in step S201 includes acquiring an initial video, the initial video including the at least one initial image. In this case, step S203 may include: and generating a video to be verified based on the first additional image information and the initial video. The video to be verified comprises an image to be verified of each initial image in at least one initial image.

For example, the initial video includes a plurality of image frames, all of the image frames of the plurality of image frames being the at least one initial image, or a part of the image frames of the plurality of image frames being the at least one initial image. If all the image frames in the initial video are used as the at least one initial image, each image frame in the to-be-verified video obtained in step S203 is an to-be-verified image. If a part of the image frames in the initial video is used as the at least one initial image, the part of the image frames in the video to be verified obtained in step S203 is the image to be verified. In this example, the authenticity of the video to be verified can be determined by verifying the authenticity of the image to be verified corresponding to the partial image frame. The embodiment of the present disclosure does not limit parameters such as file format, encoding mode, frame rate, resolution, definition, and code rate of the video.

As shown in fig. 4, the method may include steps S401 to S402.

Step S401: at least a part of the image frames is selected from the plurality of image frames as at least one initial image.

For example, an image frame ordinal number corresponding to at least one initial image is acquired, and at least a part of the image frames are selected from the plurality of image frames as the at least one initial image according to the image frame ordinal number.

For example, the initial image includes 1000 image frames arranged in series, the image frames are numbered 103, 205, 407, and then the image frame arranged at the 103 th frame, the 205 th frame, and the 407 th frame among the 1000 image frames is taken as the initial image. For example, since the video is played at a frame rate of, for example, 60 frames/second, even if a visually visible watermark is included in one or more frames, the user may not actually notice in the view.

The image frame sequence number is obtained from a remote electronic device, for example. For example, the remote electronic device may randomly generate an image frame sequence number in response to an acquisition request from the terminal device to acquire the image frame sequence number, and send the image frame sequence number to the terminal device, so that the terminal device selects at least part of the image frame from the plurality of image frames as at least one initial image according to the image frame sequence number, wherein the remote electronic device may randomly generate a different image frame sequence number each time in response to the plurality of acquisition requests from the terminal device to acquire the image frame sequence number, so as to improve the counterfeiting difficulty.

Step S402: based on the first additional image information, at least one initial image is changed to generate a video to be verified.

In some embodiments of the present disclosure, the video to be verified is generated, for example, by changing pixel values of certain pixels in at least one initial image according to the first additional image information.

In further embodiments of the present disclosure, for example, additional images are generated based on the first additional image information, which may be added as watermarks to at least one of the initial images to generate the video to be authenticated. This embodiment is similar to the embodiment described above with respect to fig. 3A and will not be described again here.

The method selects part of the image frames from the plurality of image frames as at least one initial image, therefore, the watermarks are added in only a few image frames instead of each image frame, the counterfeiting difficulty is further improved, and the reliability of the verification result is further improved.

For step S204, for example, the image to be verified is sent to the remote verification device, where the image to be verified includes the watermark, and the verification device may extract the watermark from the image to be verified, and analyze the watermark to obtain the first additional image information, so as to verify the authenticity of the image to be verified according to the first additional image information obtained by analyzing the watermark.

In some embodiments of the disclosure, the remote authentication device and the remote electronic device that generates the first additional image information may be the same device.

In some embodiments of the present disclosure, the remote authentication device may be a device capable of communicating with the remote electronic device generating the first additional image information to obtain corresponding information for authenticating the image to be authenticated from the remote electronic device generating the first additional image information.

Fig. 5 shows a flowchart of another image processing method provided in at least one embodiment of the present disclosure.

As shown in fig. 5, the method may further include step S205 on the basis of steps S201 to S204 described in fig. 2A. In this embodiment, step S203 in fig. 2A includes step S2031, and step S204 in fig. 2A includes step S2041.

Step S205: the second additional image information is generated locally.

The second additional image information is used for verifying the authenticity of at least one image to be verified in a second verification mode, and the second verification mode is different from the first verification mode.

In the embodiment shown in fig. 5, step S2031 includes: and generating an image to be verified of each initial image in the at least one initial image based on the first additional image information, the second additional image information and the at least one initial image. Step S2041 includes: and sending the image to be verified to extract first additional image information and second additional image information from the image to be verified, and verifying the authenticity of the image to be verified according to the first additional image information and the second additional image information.

In some embodiments of the present disclosure, the second additional image information may be generated locally by the terminal device. In some embodiments of the disclosure, the second additional image information comprises at least one of: noise, lines, patterns, and twist angles.

It should be noted that the second additional image information may also include other information, such as noise, lines, patterns, and distortion angles. The embodiments of the disclosure do not limit the number and distribution of noise points, the number and distribution of lines, the pattern and size of the pattern, and the size of the twist angle.

The distortion angle may be, for example, a distortion angle of a line, a pattern, or may also be a distortion angle of an image to be verified. For example, the second verification method may be a manual verification method, in which an auditor visually observes whether noise, interference lines, and the like exist in the video. For example, if noise, interference lines, etc. exist in the video, it indicates that the video to be verified is authentic. For example, when the image to be verified is determined to be a real image by the first verification method, whether the image to be verified is real is verified by the second verification method, and when the image to be verified is determined to be a real image by the second verification method, the image to be verified is determined to be a real image.

The difficulty of counterfeiting the image to be authenticated is further increased by using the second additional image information for the at least one initial image.

As shown in fig. 6, the method may include steps S601 to S602.

Step S601: and responding to an acquisition request from the image acquisition equipment to generate first additional image information, wherein the acquisition request is used for requesting to acquire the first additional image information for verifying the authenticity of at least one image to be verified.

Step S602: and storing and sending the first additional image information so that the image acquisition device uses the first additional image information for at least one initial image acquired by the image acquisition device, and generating a respective image to be verified of each initial image in the at least one initial image according to the first additional image information and the at least one initial image.

The method can enable the first additional image acquired by the image acquisition equipment to be acquired remotely, so that the counterfeiting difficulty is improved, and the reliability of the verification result for verifying the authenticity of the image to be verified is improved.

For step S601, for example, in the system architecture shown in fig. 1, steps S601 to S602 may be performed by the server 102. The image acquisition device may be the terminal device 101.

The acquisition request may be sent by the terminal device 101 to the remote electronic device in response to a triggering event. For example, the terminal apparatus 101 transmits an acquisition request to the server 102 while acquiring at least one initial image in response to an image acquisition operation instruction.

For example, the first additional image information may include additional text content and parameter information of the additional text content.

For step S602, the first additional image information is stored locally to the server 102, or in other electronic devices that may communicate with the server 102, for example.

For example, according to the address information of the image obtaining device carried in the obtaining request, first additional image information is sent to the image obtaining device, so that the image obtaining device uses the first additional image information for at least one initial image obtained by the image obtaining device, and according to the first additional image information and the at least one initial image, an image to be verified of each initial image in the at least one initial image is generated.

For example, the image obtaining device generates a watermark of at least one initial image according to the first additional image information, and then generates an image to be verified according to the watermark. That is, the image to be authenticated is an image containing a watermark generated from the first additional image information.

For a manner that the image obtaining device uses the first additional image information for the at least one initial image obtained by the image obtaining device to generate the respective to-be-verified image of each initial image in the at least one initial image according to the first additional image information and the at least one initial image, please refer to the embodiment described above with reference to fig. 3A to 3C, which is not described herein again.

As shown in fig. 7, the method may include steps S611 to S613.

S611: additional text content is generated in response to an acquisition request from the image acquisition device.

S612: parameter information of the additional text content is determined.

S613: first additional image information is generated based on the additional text content and the parameter information.

For step S611, the additional text content may be any type of characters, such as numbers, punctuation marks, letters, chinese characters, etc., or a combination of different types of characters, such as numbers, punctuation marks, letters, chinese characters, etc., for example. For example, the additional textual content may be "123ABC".

For example, generating the additional text content includes selecting at least one preset initial content from a plurality of preset initial contents as the additional text content.

For example, the remote electronic device stores a set P with characters as the preset initial content, and step S611 may be to randomly select characters from the set P as the additional text content.

For example, set P = {1,2,3,4, a, b, C, d }, 1,2,3, A, B, and C are selected from set P as additional text content.

For another example, step S611 may be to randomly generate additional text content.

For step S612, for example, the parameter information is at least one of color information of the additional text content, position information of the additional text content in the initial image, size information of the additional text content, font information of the additional text content, angle information of the additional text content with respect to the reference line, and the like. Please refer to the related description of fig. 2A above, which is not repeated herein.

In at least some embodiments of the present disclosure, determining the parameter information of the additional textual content includes at least one of: accessing a font resource library, and selecting font information of at least part of additional text content from the font resource library; determining position information and size information of at least part of the additional text content in each of the at least one initial image; determining angle information of at least part of the additional text content relative to the reference line through a tilt algorithm; color information of at least part of the additional text content is determined by a color algorithm.

For example, a font repository may store font information for a plurality of fonts. These fonts can be open source fonts (bold, regular, song, etc.) or fonts designed by those skilled in the art.

For example, the tilt algorithm may be: and an algorithm for rotating the additional text content by a corresponding angle according to the angle information of at least part of the additional text content relative to the reference line. For example, the reference line may be the centerline BC of the initial image in fig. 2B.

For example, the color algorithm may be: the color (RGB value) of the additional text content has a default initial value (100,200,220), and the server randomly generates a number c, which represents that c is added on the basis of the default initial value, and the color value of the additional text content is (100 + c,200+ c,220+ c).

In step S613, for example, the additional text content "123ABC", "123ABC" has a color of (100,120,130), a length of 100 pixels, a width of 20 pixels, and an angle of 10 degrees with respect to the reference line, the relative position of the additional text content "123ABC" in the additional image is (90px, 100px), (100px, 80px), (95px, 110px), (105px, 90px), the font of the characters 1,2, and 3 is a bold body, and the font of the character A, B, C is a song body.

Because the first additional image information contains information of a plurality of different dimensions, the image to be verified can be verified or cross-verified from the plurality of dimensions, so that the difficulty of counterfeiting the image or the video is further improved, and the reliability of a verification result for verifying the image to be verified is further improved.

In some embodiments of the present disclosure, the image processing method may further include, in addition to step S601 and step S602 in fig. 6, generating an image number in response to an acquisition request from the image acquisition apparatus, and transmitting the image number to the image acquisition apparatus, so that the image to be authenticated generated by the image acquisition apparatus includes the image number, and the image number corresponds to the first additional image information generated in step S601.

In step S602 in this embodiment, the storing of the first additional image information includes storing the first additional image information in correspondence with the image number and the first additional image information.

As shown in fig. 8, the method may include steps S801 to S802.

Step S801: and in response to receiving the at least one image to be verified from the image acquisition device, acquiring verification additional image information from the at least one image to be verified, wherein the verification additional image information is used for verifying the at least one image to be verified.

Step S802: the verification additional image information is compared with the stored first additional image information to verify the authenticity of the at least one image to be verified.

For example, the verification additional image information may be information of a watermark in the image to be verified, that is, first additional image information of the watermark added to the initial image by the terminal device.

In some embodiments of the present disclosure, each of the at least one image to be verified may be parsed, for example, to obtain verification additional image information in the at least one image to be verified. The method can analyze each image to be verified so as to verify each image to be verified, and can ensure the comprehensiveness and reliability of verification.

In other embodiments of the present disclosure, if the first additional image information applied to each initial image is the same, only a part of the at least one image to be verified may be parsed, so as to improve the verification efficiency and save the verification time.

In some embodiments of the present disclosure, the video to be verified includes at least one image to be verified, and step S801 includes: the method comprises the steps of responding to the video to be verified received from the image obtaining device, obtaining at least one image to be verified from the video to be verified, and extracting verification additional image information of the at least one image to be verified.

For example, the video to be verified includes a plurality of image frames, and at least one image to be verified is selected from the plurality of image frames, thereby extracting verification additional image information from the at least one image frame to be verified.

In some embodiments of the present disclosure, for example, the verification device stores an image frame ordinal number corresponding to each image number, where the image frame ordinal number indicates a frame ordinal number of the image frame to which the watermark is added in the video to be verified, so as to select at least one image to be verified from a plurality of image frames of the video to be verified according to the image frame ordinal number.

For example, the ordinal number of the image frames is 3, 5 and 7, then the 3 rd frame, the 5 th frame and the 7 th frame are selected from the video to be verified as the images to be verified.

In some embodiments of the present disclosure, for example, obtaining verification additional image information from at least one image to be verified may include: the additional image layer is extracted from the image to be verified, thereby identifying the verification additional image information of the additional image in the additional image layer, or the verification additional image information may be obtained by analyzing pixel values of pixels in the image to be verified, or the like.

For example, if the additional image is verified to be consistent with the first additional image information, the image to be verified is true, and if the additional image is verified to be inconsistent with the first additional image information, the image to be verified is false.

As another example, the comparison verifies the degree of coincidence of the additional image with the stored first additional image information. And if the consistency degree of the additional image and the stored first additional image information is larger than or equal to the preset value, the image to be verified is real. And if the consistency degree of the verification additional image and the stored first additional image information is smaller than the preset value, the image to be verified is false.

For example, in the system architecture shown in fig. 1, in a case where the server 102 receives an image to be authenticated from the terminal apparatus 101, the server 102 obtains an image number of the image to be authenticated from the image to be authenticated, and finds a correspondence relationship according to the image number to obtain first additional image information stored by the server 102 corresponding to the image number. And comparing the authentication additional image information in the image to be authenticated with the first additional image information stored in the server corresponding to the image number. If the additional image information is verified to be consistent with the stored first additional image information, the image to be verified is a real image, and if the additional image information is verified to be inconsistent with the stored first additional image information, the image to be verified is a false image.

As shown in fig. 9, the method may include steps S901-S907.

Step S901: and acquiring an image acquisition operation instruction. For example, the user clicks a "shoot" icon in the terminal device application to generate an image capture operation instruction.

Step S902: and jumping to the video shooting interface.

For example, in response to the image capturing operation instruction, the terminal device jumps to a video shooting interface to start shooting a video.

Step S903: watermark content and configuration required for constructing the watermark are obtained.

The watermark content and configuration may include the first additional image information described above and the second additional image information described above. For example, the watermark content may be additional textual content. For example, the configuration may include a color of the additional textual content, an angle of the additional textual content, a font of the additional textual content, a position of the additional textual content relative to the video, a text size of the additional textual content, an interference line, noise, and the like.

It is to be understood that step S902 and step S903 may be executed by the terminal device at the same time. That is, while the terminal device jumps to the video shooting Interface in response to the image capturing operation instruction, the terminal device sends an API request (i.e., an acquisition request) to the server through an Application Programming Interface (API) to acquire the first additional image information from the server.

Step S904: and drawing the processed watermark on the video through a filter.

For example, in the process of video shooting, the terminal device draws a watermark on the video through the SDK of the filter.

Step S905: and after shooting is finished, generating a video to be verified.

For example, the user clicks the "end shooting" icon, the terminal device ends shooting in response to the end shooting instruction, and generates a video to be verified.

Step S906: and sending the video to be verified to the server.

Step S907: and the server verifies the video to be verified. For example, refer to the embodiment described above with reference to fig. 8, which is not repeated herein.

Fig. 10A illustrates a schematic block diagram of an image processing apparatus 1000 according to at least one embodiment of the present disclosure.

As shown in fig. 10A, the image processing apparatus 1000 includes a first acquisition unit 1010, a second acquisition unit 1020, an image generation unit 1030, and an image transmission unit 1040.

The first acquisition unit 1010 is configured to acquire at least one initial image.

The first acquisition unit 1010 may perform step S201 described in fig. 2A, for example.

The second acquisition unit 1020 is configured to acquire first additional image information for the at least one initial image, the first additional image information being remotely acquired.

The second obtaining unit 1020 may perform, for example, step S202 described in fig. 2A.

The image generation unit 1030 is configured to generate an image to be verified for each of the at least one initial image based on the first additional image information and the at least one initial image.

The image generation unit 1030 may perform step S203 described in fig. 2A, for example.

The image sending unit 1040 is configured to send the image to be verified, so as to extract the first additional image information from the image to be verified and verify the authenticity of the image to be verified according to the first additional image information.

The image transmitting unit 1040 may perform step S204 described in fig. 2A, for example.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, the first acquisition unit includes: an acquisition subunit configured to acquire the at least one initial image in response to an image acquisition operation instruction, the second acquisition unit including: a first additional image information acquiring subunit configured to acquire first additional image information for the at least one initial image in response to the image acquisition operation instruction, the acquisition of the at least one initial image being performed after or simultaneously with the acquisition of the first additional image information for the at least one initial image.

For example, the first acquiring unit 1010, the second acquiring unit 1020, the image generating unit 1030, and the image transmitting unit 1040 may be implemented as hardware, software, firmware, or any feasible combination thereof. For example, the first acquiring unit 1010, the second acquiring unit 1020, the image generating unit 1030, and the image transmitting unit 1040 may be dedicated or general circuits, chips, devices, or the like, or may be a combination of a processor and a memory. The embodiments of the present disclosure are not limited in this regard to the specific implementation forms of the above units.

It should be noted that, in the embodiment of the present disclosure, each unit of the image processing apparatus 1000 corresponds to each step of the aforementioned image processing method, and for specific functions of the image processing apparatus 1000, reference may be made to the related description about the image processing method, which is not described herein again. The components and configuration of the image processing apparatus 1000 shown in fig. 10A are exemplary only, and not limiting, and the image processing apparatus 1000 may further include other components and configurations as necessary.

Fig. 10B illustrates a schematic block diagram of another image processing apparatus 1100 provided in at least one embodiment of the present disclosure.

For example, as shown in fig. 10B, the image processing apparatus 1100 includes an information generating unit 1110 and an image processing unit 1120.

The information generating unit 1110 is configured to generate first additional image information in response to an acquisition request from the image acquisition apparatus, the acquisition request requesting acquisition of the first additional image information for verifying authenticity of at least one image to be verified.

The information generating unit 1110 may execute, for example, step S601 described in fig. 6.

The image processing unit 1120 is configured to store and transmit the first additional image information, so that the image acquisition device uses the first additional image information for at least one initial image acquired by the image acquisition device, and generate a respective image to be verified of each initial image in the at least one initial image according to the first additional image information and the at least one initial image.

The image processing unit 1120 may perform step S602 described in fig. 6, for example.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, the information generating unit includes: an additional text generation subunit configured to generate additional text content in response to an acquisition request from the image acquisition device; a determination subunit configured to determine parameter information of the additional text content, and a first additional image information generation subunit configured to generate first additional image information based on the additional text content and the parameter information.

For example, in an image processing apparatus provided in at least one embodiment of the present disclosure, a video to be verified includes at least one image to be verified, and the verification additional image information obtaining unit includes: the response subunit is configured to respond to the video to be verified received from the image acquisition equipment, and acquire at least one image to be verified from the video to be verified; and an extraction subunit configured to extract authentication additional image information of the at least one image to be authenticated.

It should be noted that, in the embodiment of the present disclosure, each unit of the image processing apparatus 1100 corresponds to each step of the aforementioned image processing method, and for specific functions of the image processing apparatus 1100, reference may be made to the related description about the image processing method, which is not described herein again. The components and configuration of the image processing apparatus 1100 shown in fig. 10B are exemplary only, and not limiting, and the image processing apparatus 1100 may further include other components and configurations as necessary.

At least one embodiment of the present disclosure also provides an electronic device comprising a processor and a memory, the memory including one or more computer program modules. One or more computer program modules are stored in the memory and configured to be executed by the processor, the one or more computer program modules comprising instructions for implementing the image processing method described above. The electronic equipment can improve the difficulty of counterfeiting the image to be verified and improve the reliability of a verification result for verifying the authenticity of the image to be verified.

Fig. 11A is a schematic block diagram of an electronic device provided in some embodiments of the present disclosure. As shown in fig. 11A, the electronic device 1200 includes a processor 1210 and a memory 1220. The memory 1220 is used to store non-transitory computer-readable instructions (e.g., one or more computer program modules). The processor 1210 is configured to execute non-transitory computer readable instructions, which when executed by the processor 1210 may perform one or more of the steps of the image processing method described above. The memory 1220 and processor 1210 may be interconnected by a bus system and/or other form of connection mechanism (not shown).

For example, processor 1210 may be a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), or other form of processing unit having data processing capabilities and/or program execution capabilities. For example, the Central Processing Unit (CPU) may be an X86 or ARM architecture or the like. The processor 1210 may be a general-purpose processor or a special-purpose processor that may control other components in the electronic device 1200 to perform desired functions.

For example, memory 1220 may include any combination of one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. Volatile memory can include, for example, random Access Memory (RAM), cache memory (or the like). The non-volatile memory may include, for example, read Only Memory (ROM), a hard disk, an Erasable Programmable Read Only Memory (EPROM), a portable compact disc read only memory (CD-ROM), USB memory, flash memory, and the like. One or more computer program modules may be stored on the computer-readable storage medium and executed by processor 1210 to implement various functions of electronic device 1200. Various applications and various data, as well as various data used and/or generated by the applications, and the like, may also be stored in the computer-readable storage medium.

It should be noted that, in the embodiment of the present disclosure, reference may be made to the above description on the image processing method for specific functions and technical effects of the electronic device 1200, and details are not described here again.

Fig. 11B is a schematic block diagram of another electronic device provided by some embodiments of the present disclosure. The electronic device 1300 is, for example, suitable for implementing the image processing method provided by the embodiments of the present disclosure. The electronic device 1300 may be a terminal device or the like. It should be noted that the electronic device 1300 shown in fig. 11B is only an example, and does not bring any limitation to the functions and the scope of the application of the embodiments of the present disclosure.

As shown in fig. 11B, the electronic device 1300 may include a processing device (e.g., central processing unit, graphics processor, etc.) 1310 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 1320 or a program loaded from a storage device 1380 into a Random Access Memory (RAM) 1330. In the RAM 1330, various programs and data necessary for the operation of the electronic apparatus 1300 are also stored. The processing device 1310, the ROM 1320, and the RAM 1330 are connected to each other by a bus 1340. An input/output (I/O) interface 1350 is also connected to bus 1340.

Generally, the following devices may be connected to I/O interface 1350: input devices 1360 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, and the like; an output device 1370 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, etc.; a storage 1380 including, for example, magnetic tape, hard disk, etc.; and a communication device 1390. The communication means 1390 may allow the electronic device 1300 to communicate wirelessly or by wire with other electronic devices to exchange data. While fig. 11B illustrates an electronic device 1300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided and that the electronic device 1300 may alternatively be implemented or provided with more or less means.

For example, according to an embodiment of the present disclosure, the above-described image processing method may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program comprising program code for performing the image processing method described above. In such an embodiment, the computer program may be downloaded and installed from a network via the communication device 1390, or installed from the storage device 1380, or installed from the ROM 1320. When executed by the processing device 1310, the computer program may implement the functions defined in the image processing method provided by the embodiments of the present disclosure.

At least one embodiment of the present disclosure also provides a computer-readable storage medium for storing non-transitory computer-readable instructions that, when executed by a computer, may implement the image processing method described above. By using the computer readable storage medium, the difficulty of counterfeiting the image to be verified can be improved, and the reliability of the verification result for verifying the authenticity of the image to be verified can be improved.

Fig. 12 is a schematic diagram of a storage medium according to some embodiments of the present disclosure. As shown in fig. 12, storage medium 1400 is used to store non-transitory computer readable instructions 1410. For example, the non-transitory computer readable instructions 1410, when executed by a computer, may perform one or more steps in accordance with the image processing method described above.

For example, the storage medium 1400 may be applied to the electronic device 1200 described above. For example, the storage medium 1400 may be the memory 1220 in the electronic device 1200 shown in fig. 11A. For example, the related description about the storage medium 1400 can refer to the corresponding description of the memory 1220 in the electronic device 1200 shown in fig. 11A, and is not repeated here.

The following points need to be explained:

(1) The drawings of the embodiments of the disclosure only relate to the structures related to the embodiments of the disclosure, and other structures can refer to common designs.

(2) Without conflict, embodiments of the present disclosure and features of the embodiments may be combined with each other to arrive at new embodiments.

The above description is only a specific embodiment of the present disclosure, but the scope of the present disclosure is not limited thereto, and the scope of the present disclosure should be subject to the scope of the claims.

Claims

1. An image processing method, comprising:

acquiring at least one initial image;

acquiring first additional image information for the at least one initial image, the first additional image information being acquired remotely;

generating an image to be verified of each initial image in the at least one initial image based on the first additional image information and the at least one initial image; and

and sending the image to be verified to extract the first additional image information from the image to be verified and verifying the authenticity of the image to be verified according to the first additional image information.

2. The method of claim 1, wherein,

acquiring the at least one initial image, comprising:

in response to an image acquisition operation instruction, acquiring the at least one initial image; and acquiring the first additional image information for the at least one initial image, comprising:

acquiring the first additional image information for the at least one initial image in response to the image acquisition operation instruction,

wherein acquiring the at least one initial image is performed after or simultaneously with acquiring the first additional image information for the at least one initial image.

3. The method of claim 1, wherein obtaining first additional image information for the at least one initial image comprises:

transmitting an acquisition request to a remote electronic device in response to a trigger event, the first additional image information being remotely acquired from the remote electronic device after the remote electronic device generates the first additional image information in response to the acquisition request,

the first additional image information is used for verifying the authenticity of the at least one image to be verified in a first verification mode.

4. The method according to claim 1, wherein the at least one initial image includes N initial image groups, the number of the first additional image information is the N, the N first additional image information are different from each other, the N first additional image information respectively correspond to the N initial image groups, N is an integer greater than 1,

generating an image to be verified for each of the at least one initial image based on the first additional image information and the at least one initial image, comprising:

and generating an image to be verified of each initial image in the initial image group based on the first additional image information corresponding to each initial image group in the N initial image groups and each initial image in the initial image groups.

5. The method according to claim 1, wherein the first additional image information includes additional text content and parameter information of the additional text content,

wherein the parameter information of the additional text content includes at least one of:

color information of at least a part of the additional text content, position information of at least a part of the additional text content in the initial image, size information of at least a part of the additional text content, font information of at least a part of the additional text content, and angle information of at least a part of the additional text content with respect to a reference line.

6. The method of claim 1, wherein,

acquiring the at least one initial image, including:

acquiring an initial video, wherein the initial video comprises the at least one initial image; and

and generating a video to be verified based on the first additional image information and the initial video, wherein the video to be verified comprises an image to be verified of each initial image in the at least one initial image.

7. The method of claim 6, wherein the initial video comprises a plurality of image frames, and generating the video to be verified based on the first additional image information and the initial video comprises:

selecting at least a part of image frames from the plurality of image frames as the at least one initial image; and

based on the additional image information, the at least one initial image is altered to generate the video to be verified.

8. The method of claim 1, wherein generating an image to be verified for each of the at least one initial image based on the first additional image information and the at least one initial image comprises:

generating an additional image based on the first additional image information; and

and superimposing the additional image on each initial image in the at least one initial image so as to generate an image to be verified of each initial image in the at least one initial image.

9. The method of any one of claims 1 to 8, wherein the method further comprises:

the second additional image information is generated locally,

wherein the second additional image information is used for verifying the authenticity of the at least one image to be verified in a second verification manner, the second verification manner being different from the first verification manner,

generating an image to be verified of each initial image of the at least one initial image based on the first additional image information and the at least one initial image, comprising:

and generating an image to be verified of each initial image in the at least one initial image based on the first additional image information, the second additional image information and the at least one initial image.

10. The method of claim 9, wherein the second additional image information comprises at least one of: noise, lines, patterns, and twist angles.

11. An image processing method comprising:

generating first additional image information in response to an acquisition request from an image acquisition device, wherein the acquisition request is used for requesting to acquire the first additional image information for verifying the authenticity of at least one image to be verified; and

and storing and sending the first additional image information so that the image acquisition device uses the first additional image information for at least one initial image acquired by the image acquisition device, and generating a respective image to be verified of each initial image in the at least one initial image according to the first additional image information and the at least one initial image.

12. The method of claim 11, further comprising:

in response to receiving at least one image to be verified from the image acquisition device, acquiring verification additional image information from the at least one image to be verified, wherein the verification additional image information is used for verifying the at least one image to be verified; and

comparing the verification additional image information with the stored first additional image information to verify authenticity of the at least one image to be verified.

13. The method of claim 11, wherein generating the first additional image information in response to an acquisition request from an image acquisition device comprises:

generating additional text content in response to an acquisition request from the image acquisition device;

determining parameter information of said additional text content, an

Generating the first additional image information based on the additional text content and the parameter information.

14. The method of claim 13, wherein generating the additional textual content in response to the capture request from the image capture device comprises:

selecting at least one preset initial content from a plurality of preset initial contents as the additional text content in response to an acquisition request from the image acquisition device; or

The additional text content is randomly generated in response to an acquisition request from the image acquisition device.

15. The method of claim 13, wherein determining the parameter information of the additional textual content comprises at least one of:

accessing a font resource library, and selecting font information of at least part of the additional text content from the font resource library;

determining position information and size information of at least part of the additional text content in each of the at least one initial image;

determining angle information of at least part of the additional text content relative to a reference line through a tilt algorithm; and

color information of at least part of the additional text content is determined by a color algorithm.

16. The method of claim 12, wherein the video to be authenticated comprises the at least one image to be authenticated, and in response to receiving the at least one image to be authenticated from the image acquisition device, acquiring authentication additional image information from the at least one image to be authenticated comprises:

in response to receiving the video to be verified from the image acquisition device, acquiring the at least one image to be verified from the video to be verified; and

and extracting verification additional image information of the at least one image to be verified.

17. An image processing apparatus comprising:

a first acquisition unit configured to acquire at least one initial image;

a second acquisition unit configured to acquire first additional image information for the at least one initial image, the first additional image information being remotely acquired;

an image generating unit configured to generate an image to be verified of each of the at least one initial image based on the first additional image information and the at least one initial image; and

and the image sending unit is configured to send the image to be verified so as to be used for extracting the first additional image information from the image to be verified and verifying the authenticity of the image to be verified according to the first additional image information.

18. An image processing apparatus comprising:

an information generating unit configured to generate first additional image information in response to an acquisition request from an image acquisition device, wherein the acquisition request is used for requesting acquisition of the first additional image information for verifying the authenticity of at least one image to be verified; and

and the image processing unit is configured to store and transmit the first additional image information so as to enable the image acquisition device to use the first additional image information for at least one initial image acquired by the image acquisition device, and to generate a respective image to be verified of each initial image in the at least one initial image according to the first additional image information and the at least one initial image.

19. An electronic device, comprising:

a processor;

a memory comprising one or more computer program instructions;

wherein the one or more computer program instructions are stored in the memory and when executed by the processor implement the instructions of the image processing method of any of claims 1-16.

20. A computer readable storage medium, non-transitory storing computer readable instructions, wherein the computer readable instructions, when executed by a processor, implement the image processing method of any one of claims 1-16.