WO2021018229A1

WO2021018229A1 - Image processing method and apparatus, and electronic device

Info

Publication number: WO2021018229A1
Application number: PCT/CN2020/105684
Authority: WO
Inventors: 赵明明; 刘立真; 谢文珍
Original assignee: 北京大米科技有限公司
Priority date: 2019-08-01
Filing date: 2020-07-30
Publication date: 2021-02-04
Also published as: CN110569627A; CN110569627B

Abstract

Provided are an image processing method and apparatus, and an electronic device. The method comprises: receiving a second image, wherein the second image is generated on the basis of a first image, and the first image contains a first watermark; extracting watermark information from the second image; and determining an image type of the second image on the basis of an extraction result. If the second image does not contain the watermark information, or there is no correlation between the watermark information contained in the second image and the first watermark, it can be determined that the second image is an image with problems, thereby reducing the risk of using an image with problems, and ensuring the normal operation of a service system.

Description

Image processing method, device and electronic equipment

Technical field

The present invention relates to the field of images, and in particular to an image processing method, device and electronic equipment.

Background technique

The description of the background technology of the present invention belongs to the related technology related to the present invention. It is only used to illustrate and facilitate the understanding of the content of the present invention. It should not be understood that the applicant clearly believes or presumes that the applicant believes that the present invention was first filed. Existing technology on the filing date.

Online education is also called distance education and online learning. It is a teaching method based on the Internet. Through the Internet, students and teachers can carry out teaching activities even if they are thousands of miles apart. With the help of online courseware, students can also study anytime and anywhere, which truly breaks the limitations of time and space. Online distance education is an extremely convenient way of learning for professionals with busy work and irregular study time.

In the process of online education, it is necessary to share pictures between participants and the online education platform to achieve the purpose of promotion, learning, and communication. However, the pictures may be tampered with, which will affect normal business.

Summary of the invention

In order to solve the problem that images are often tampered with during transmission, embodiments of the present invention provide an image processing method, device, and electronic equipment to enhance the security of image use.

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

Receiving a second image, the second image being generated based on the first image, the first image containing a first watermark;

Extracting watermark information from the second image;

Based on the extraction result, the image type of the second image is determined.

In a possible design, the second image is a screenshot of a user disseminating and/or displaying the first image on a social network, and the social network includes: Internet social platforms and Internet social spaces.

In a possible design, the determining the image type of the second image based on the extraction result includes:

If the watermark information cannot be extracted from the second image, determine that the second image is a problem image; and/or

If the watermark information is extracted from the second image, the image type of the second image is determined based on the comparison result of the second watermark corresponding to the watermark information and the first watermark.

In a possible design, the first watermark and the second watermark are two-dimensional code watermarks; and

The determining the image type of the second image based on the comparison result of the second watermark corresponding to the watermark information and the first watermark includes: identifying the second watermark, if the second watermark is identified If the code is consistent with the identification code of the first watermark, it is determined that the second image is a normal image; and/or if the identification code of the second watermark is inconsistent with the identification code of the first watermark, it is determined that the The second image is the problem image.

In a possible design, the first image is generated based on an image template containing the first watermark, and the first watermark in the image template is generated based on at least one of the following: parameters of the image template, Display parameters, content information, business information, and user-oriented information in the image template.

In a possible design, the first watermark in the image template is updated as time changes.

In a possible design, the extracting watermark information from the second image includes: searching and/or identifying the watermark information from the second image based on extraction parameters, wherein the extraction parameters It includes at least one of the following: sender information, parameters of the first image, parameters of the second image, and the first watermark.

In a possible design, the first watermark is an invisible watermark.

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

A receiving unit, configured to receive a second image, the second image being generated based on the first image, the first image containing a first watermark;

An extraction unit for extracting watermark information from the second image;

The determining unit is configured to determine the image type of the second image based on the extraction result.

In a third aspect, an embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of any one of the above methods are implemented.

In a fourth aspect, an embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor. The processor implements any of the above when the program is executed. Method steps.

The image processing method, device and electronic equipment provided by the present invention receive a second image, the second image is generated based on the first image, the first image contains a first watermark; the watermark is extracted from the second image Information; based on the extraction result, determine the image type of the second image. The first image contains the first watermark, and the second image is generated based on the first image. If the second image has not been tampered with during transmission, the second image should also contain the watermark information, and the second image contains The watermark information of has a corresponding relationship with the first watermark. If there is no watermark information in the second image, or the watermark information contained in the second image does not have a corresponding relationship with the first watermark, it can be determined that the second image is a problem image to reduce the risk of using a tampered image and ensure The normal operation of the business system.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work.

FIG. 1 is a schematic diagram of an exemplary system architecture 100 to which an image processing method or image processing apparatus of an embodiment of the present application can be applied;

2 is a schematic flowchart of an image processing method according to an embodiment of the present invention;

FIG. 3 is a schematic flowchart of another image processing method provided by an embodiment of the present invention;

4 is a schematic flowchart of another image processing method provided by an embodiment of the present invention;

Figure 5 is a schematic flowchart of a watermark adding method provided by an embodiment of the present invention

FIG. 6 is another schematic flowchart of the application testing method provided by the embodiment of the present application;

FIG. 6A is a schematic diagram of an original image provided by an embodiment of the present invention;

6B is a schematic diagram of an image template containing watermark information provided by an embodiment of the present invention;

6C is a schematic diagram of an image processed by the watermark adding method shown in FIG. 5 provided by an embodiment of the present invention;

FIG. 7 is a schematic structural diagram of an image processing apparatus provided by an embodiment of the present invention;

Fig. 8 is a schematic structural diagram of an electronic device related to an embodiment of the present invention.

Detailed ways

The application will be further introduced below in conjunction with the drawings and embodiments.

In the following introduction, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance. The following description provides multiple embodiments of the present invention, and different embodiments can be substituted or combined. Therefore, this application may also be considered to include all possible combinations of the same and/or different embodiments described. Therefore, if one embodiment includes features A, B, C, and another embodiment includes features B, D, then this application should also be considered as including all other possible combinations of one or more of A, B, C, and D Although the embodiment may not be clearly written in the following content.

The following description provides examples, and does not limit the scope, applicability, or examples set forth in the claims. Changes can be made to the function and arrangement of the described elements without departing from the scope of the content of this application. Various procedures or components may be omitted, substituted, or added in various examples as appropriate. For example, the described method may be executed in a different order from the described order, and various steps may be added, omitted, or combined. In addition, features described with respect to some examples can be combined into other examples.

FIG. 1 shows a schematic diagram of an exemplary system architecture 100 to which the image processing method or image processing apparatus of the embodiments of the present application can be applied.

As shown in FIG. 1, the system architecture 100 may include one or more of

terminal devices

101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the

terminal devices

101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables. It should be understood that the numbers of terminal devices, networks, and servers in FIG. 1 are merely illustrative. According to implementation needs, there can be any number of terminal devices, networks and servers. For example, the server 105 may be a server cluster composed of multiple servers.

Participants of online education can use the

terminal devices

101, 102, 103 to interact with the server 105 through the network 104 to receive or send messages and so on. The

terminal devices

101, 102, and 103 may be various electronic devices with display screens, including but not limited to smart phones, tablet computers, portable computers, desktop computers, and so on.

The server 105 receives the second image generated by the

terminal device

101, 102, 103 based on the first image through the network 104, the first image contains the first watermark; extracts the watermark information from the second image; based on the extraction result, Determine the image type of the second image.

Referring to Fig. 2, Fig. 2 is a schematic flowchart of an image processing method provided by an embodiment of the present invention. The schematic flowchart is based on the network architecture of Fig. 1. In the embodiment of the present invention, the method includes:

S201. Receive a second image, where the second image is generated based on the first image, and the first image contains a first watermark.

The method provided by the implementation of the present invention can be applied to the field of online education, so that images can be safely exchanged between online education platforms and online education participants. Participants of online education can be online learning students, online lecturers, netizens browsing online education platforms, and system administrators of online education platforms. In short, all people who use the online education platform are participants of online education, and can apply the image processing method provided by the embodiment of the present invention to enable the two parties to communicate and interact better.

Optionally, before step S201, the method further includes: sending the first image. The system first sends the first image to the user, and the first image contains the first watermark. The user generates a second image based on the first image, and sends the second image to the system. The system can determine whether the second image is a problem image based on the result of extracting the watermark from the second image.

Optionally, the second image is a screenshot of the user disseminating and/or displaying the first image on a social network, and the social network includes: Internet social platforms and Internet social spaces.

Internet social platforms include but are not limited to: WeChat, QQ, Weibo, Daily Business Circle, etc. Internet social space, but not limited to: Moments, WeChat groups, Qzone, Baidu Tieba, etc.

Online education platforms often need to receive second images sent by participants. For example, when promoting an education platform, the online education platform needs to send the first picture to the participants. After the participant promotes, the second image based on the first image will be sent to the online education platform. It can be WeChat screenshots (such as Moments screenshots, WeChat group screenshots, etc.), Weibo screenshots or browser screenshots, etc. The online education platform first sends the first image related to the learning task to the student. After the student completes the learning, the second image generated based on the first image is sent to the platform. The second image is an image that has completed a predetermined amount of learning tasks. The online education platform first sends the first image of the lesson plan preview to the teacher. After the teacher completes the lesson plan preview, the teacher sends a second image based on the first image to the platform. The second image is an image that has completed a predetermined amount of preview tasks.

The pictures are at risk of being tampered with, such as: Participants have not completed the promotion or the task, but send the image showing the completed task to the platform. In addition, it is difficult to ensure that the images are not tampered with during the transmission of images between online education platforms and participants.

For this reason, a watermark is added to the image to enhance the security of the use of the image by the online education platform. Watermarking is to add some digital information to the image to achieve the functions of authenticity identification and copyright protection.

Optionally, the first image is generated based on an image template containing the first watermark, and the first watermark in the image template is generated based on at least one of the following: parameters of the image template, display parameters, and Describe the content information, business information, and user-oriented information in the image template.

The image processed by the blank image will not change, that is, the original image is processed through the blank image, and the processed image is still the original image. The aforementioned image template can be generated by adding a first watermark image on a blank image. The position without watermark information on the image template is constituted by the pixels of the blank image. Using the image template described above, processing the original image can achieve the following effects: displaying a watermark on the first position of the processed image, the first position corresponding to the position where the image template has the watermark. The image of the original image itself is displayed on the second position of the processed image, and the second position corresponds to the position where the image template has no watermark.

Optionally, the first watermark is an invisible watermark, that is, the first image with the first watermark and the first image without the watermark are visually imperceptible. In this way, on the one hand, the first image with the watermark added does not affect the user's visual experience; on the other hand, because it is not easy to find, the risk of tampering with the image is reduced.

The parameters of the image template may include: image size, image resolution, and so on. The display parameters are the display position, font, line spacing, etc. of the first watermark in the first picture. The above-mentioned service information is the service system information applied to the watermarked image. The business information may include: business ID, business name, business nature, business type, business description, etc.

The targeted user information is the personal information of online education users, such as: user ID, user category, user age, user gender, teaching level, etc., among which user categories include: ordinary students, important students, audition students, etc.

For example, if a job search system and a user whose user name is A need to transfer pictures to each other, the watermark information added to the picture can be "Ain Job" and so on. Further, the user can also customize the user's watermark information to better meet the personalized needs of different users.

Optionally, the first watermark in the image template is updated as time changes.

For the same participant, if the same watermark is used for image processing from beginning to end, it is obvious that the attacker has more time to decipher the watermark information contained in the image by using different methods. Once the watermark information in the image is deciphered, it will pose a long-term threat to system security. The above method generates different watermarks in different periods, which obviously increases the difficulty of deciphering the watermark information and further guarantees the security of the system.

S202: Extract watermark information from the second image.

The first image contains a first watermark, and the second image contains a second watermark. The second image is generated and sent based on the first image. Therefore, the second watermark has a specific relationship with the first watermark. For example, if the second image is the same as the first image, or the second image has some text information added to the first image, the second watermark is the same as the first watermark. Or, the second image is a binary image obtained after the first image is processed, and the second watermark is a binary image corresponding to the first watermark. Furthermore, the second image is a grayscale image obtained after the first image is processed, and the second watermark is a grayscale image corresponding to the first watermark.

Optionally, step S203 further includes: searching and/or identifying the watermark information from the second image based on extraction parameters, wherein the extraction parameters include at least one of the following: sender information, the first The parameters of the image, the parameters of the second image, the first watermark.

The watermark information can be extracted from the second image in many ways, including but not limited to the following ways or a combination thereof:

(1) Through the predetermined position information saved in the system, the predetermined position information represents the addition position information of the image template in the original image. Based on the predetermined location information, the watermark information is directly extracted from the image to be recognized. For example: the predetermined location information records the watermarked area.

(2) Watermark information is text information, such as company name, business name and other specific words, numbers or combinations. Through image recognition technology, it is recognized whether the image to be recognized contains the text information, and then it is determined whether the recognized image contains a watermark of specific text content. In another way, the watermark can also be a two-dimensional code watermark, a barcode watermark, etc.; another way, the watermark can also be a combination of text, a two-dimensional code, a barcode watermark and other information.

(3) Obtain the watermark information in the image to be recognized by comparing the original image with the image to be recognized through the original image saved in advance (for example, the original image is saved in the system).

(4) You can use a first image, add a watermark to the first image to obtain a second image, and stitch the first image with the second image to obtain a third image, and use the third image to perform Processing to add the watermark to the original image. Therefore, the image to be recognized (containing watermark information) will contain the first image and the second image. During recognition, the first image and the second image are extracted from the image to be recognized, and the first image is compared with the The image and the second image to identify the watermark. Among them, the first image can be a sub-image of the original image or a set image template. In another way, the position where the third image is placed or synthesized in the original image can be recorded, and the first image and the second image can be found from the image to be processed based on the position.

The sender information may include sender identification, sender category, sender age, sender gender, and so on. The first image parameter may include the first image identification, the first image application system identification, the first image description, and so on. The second image parameter may include a second image identification, a second image application system identification, a second image description, and so on.

The system can store the corresponding relationship between the sender ID or the second image ID and the storage location of the watermark in the second image, or the corresponding relationship between the first image ID and the second image ID, and store the first image ID and the watermark in the second image. 2. Correspondence between storage locations in the image. The storage location of the watermark in the second image may include the pixel coordinates of the upper left corner of the watermark image and the size information of the watermark image.

If the watermark is stored in the high-frequency area of the original image, the relevant area information in the second image can be determined according to the image parameters, and then the second watermark information can be extracted from the aforementioned relevant area information.

S203: Determine the image type of the second image based on the extraction result.

The above-mentioned image types may include: problem images and normal images. The problem image is an image that may be tampered with during transmission.

The first image contains a first watermark, and the second image contains a second watermark. The second image is generated and sent based on the first image. Therefore, the second watermark has a corresponding relationship with the first watermark. For example, if the second image is the same as the first image, or the second image has some text information added to the first image, the second watermark is the same as the first watermark. Or, the second image is a binary image obtained after the first image is processed, and the second watermark is a binary image corresponding to the first watermark. Furthermore, the second image is a grayscale image obtained after the first image is processed, and the second watermark is a grayscale image corresponding to the first watermark.

According to the above analysis, the second watermark has a corresponding relationship with the first watermark. The second watermark is extracted from the second image, and the first watermark is analyzed and compared with the second watermark to determine whether the second image is a problem image.

In the present invention, the first image contains the first watermark, the second image contains the second watermark, and the second image is sent by the participant based on the first image. If the second image is not tampered with during transmission, Then the second watermark contained in the second image will have a corresponding relationship with the first watermark. If the second image does not include watermark information or there is no correspondence between the first watermark and the second watermark, it can be determined that the second image is a problem image. If the second image is a problem image, you can discard the image, and troubleshoot related transmission links and users. If the second image is a normal image, it can be used normally.

If the picture is tampered with, the tampered picture is likely to contain viruses or Trojan horses that threaten the security of the system. Therefore, on the one hand, the present invention reduces the risk of normal teaching being affected due to the use of tampered pictures. On the one hand, the present invention can also solve the security problem caused by the picture being tampered with during transmission.

Referring to FIG. 3, FIG. 3 is a schematic flowchart of an image processing method provided by an embodiment of the present invention. In an embodiment of the present invention, the method includes:

S301. Receive a second image, where the second image is generated based on the first image, and the first image contains a first watermark.

For the specific process of S301, refer to the description of S201 in FIG. 2, which will not be repeated here.

S302: Extract watermark information from the second image.

For the specific process of S302, refer to the description of S202 in FIG. 2, which will not be repeated here.

S303. If the watermark information cannot be extracted from the second image, determine that the second image is a problem image.

S304: If the watermark information is extracted from the second image, determine the image type of the second image based on the comparison result of the second watermark corresponding to the watermark information and the first watermark.

The first image contains the first watermark, and the second image is sent by participants based on the first image. If the second image is not tampered with during transmission, the watermark will remain in the second image. If the watermark contained in the second image cannot be obtained, the second image is a problem image. If the second watermark extracted from the second image is obtained, it may be further determined whether the second image is a problem image according to the comparison result of the second watermark and the first watermark.

FIG. 4 is a schematic flowchart of another image processing method provided by an embodiment of the present invention, and the method includes:

S401. Receive a second image, where the second image is generated based on the first image, and the first image contains a first watermark.

For the specific process of S401, refer to the description of S201 in FIG. 2, which will not be repeated here.

S402. Extract watermark information from the second image, where the first watermark and the second watermark are two-dimensional code watermarks.

For the specific process of S402, refer to the description of S202 in FIG. 2, which will not be repeated here.

S403. Identify the second watermark.

S404: If the identification code of the second watermark is consistent with the identification code of the first watermark, determine that the second image is a normal image.

If the second image is a normal image, the online education platform can normally receive the second image and perform related processing.

S405. If the identification code of the second watermark is inconsistent with the identification code of the first watermark, determine that the second image is a problem image.

If the second image is a problem image, the image can be discarded, and related transmission links and users can be checked for problems to ensure the security of the online education platform.

The foregoing image processing method provided by the embodiment of the present invention verifies whether the second image is a problem image by comparing the identification code of the second watermark with the identification code of the first watermark. If the second image is a problem image, corresponding processing and detection can be performed to reduce the risk of system failure due to receiving a tampered image.

Fig. 5 is a schematic flowchart of a watermark adding method provided by an embodiment of the present invention. The method includes:

S501: Acquire high-frequency area information of the original image.

The high frequency area information is the area information in the image where the brightness or gray level of the image changes greatly. The low-frequency area information is the area information in the image where the brightness or gray level of the image changes little. The high frequency area usually corresponds to the edge area and the noise area in the image, and the low frequency area usually corresponds to the large patch area in the image. The high and low frequency region information of the image can be obtained by PCA (principal components analysis) technology or whitening operation and other technical means, which will not be repeated here.

S502: Determine corresponding position information of the high-frequency area information in the image template.

The watermark information can be added to the high frequency area of the original image through the corresponding location information to generate a watermarked image. The corresponding position information may be multiple pixel coordinates of the high-frequency region at the corresponding location of the image template, or multiple pixel coordinates of the edge pixels extracted from the high-frequency region at the corresponding location of the image template.

S503: Add the first watermark to the image template based on the corresponding location information.

S504. Use the image template to process the original image to generate the first image.

Through the above steps S503-S504, the watermark information can be added to the high frequency area of the original image. Because the high frequency area usually corresponds to the edge area and the noise area in the image, the low frequency area usually corresponds to the large patch area in the image. Therefore, adding a watermark to the high-frequency area of the original image, compared to adding a watermark to the low-frequency area of the original image, is to add the watermark to the insensitive area of the human eye, which can lessen the user's visual effect and is not easy to cause User perception.

FIG. 6A is a schematic diagram of an original image provided by an embodiment of the present invention, and the original image is a propaganda poster. Figure 6B is a schematic diagram of an image template containing watermark information provided by an embodiment of the present invention. The watermark information includes text information "VIPKID". The watermark information can also be set based on copyright information, service information, and user information. Fig. 6C is a schematic diagram of an image processed by the watermark adding method shown in Fig. 3 provided by an embodiment of the present invention. The watermark adding method shown in FIG. 5 in the embodiment of the present invention adds the watermark information to the high frequency area of the original image. Because the high frequency area usually corresponds to the edge area and the noise area in the image, the low frequency area usually corresponds to the large patch area in the image. Therefore, adding a watermark to the high-frequency area of the original image, compared to adding a watermark to the low-frequency area of the original image, is to add the watermark to the insensitive area of the human eye, which can lessen the user's visual effect and is not easy to cause User perception. By comparing the original pictures and processed images in FIG. 6A and FIG. 6C, it can be seen that it is difficult for human eyes to perceive the difference between the two.

The foregoing Figures 2 to 6 illustrate in detail the image processing method of the embodiment of the present application.

Please refer to FIG. 6. FIG. 6 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present invention, referred to as apparatus 6. The apparatus 6 may include a receiving unit 601, an extracting unit 602, and a determining unit 603.

The receiving unit 601 is configured to receive a second image, the second image is generated based on the first image, and the first image contains a first watermark;

An extracting unit 602, configured to extract watermark information from the second image;

The determining unit 603 is configured to determine the image type of the second image based on the extraction result.

In a possible design, the determining unit 603 is specifically configured to: if the watermark information cannot be extracted from the second image, determine that the second image is a problem image; and/or

The determining unit 603 is specifically configured to: identify the second watermark, and if the identification code of the second watermark is consistent with the identification code of the first watermark, determine that the second image is a normal image; and/or If the identification code of the second watermark is inconsistent with the identification code of the first watermark, it is determined that the second image is a problem image.

In a possible design, the device further includes an update unit 604, configured to update the first watermark in the image template as time changes.

In a possible design, the extraction unit 602 is specifically configured to: search and/or identify the watermark information from the second image based on extraction parameters, where the extraction parameters include at least one of the following : Sender information, parameters of the first image, parameters of the second image, and the first watermark.

In a possible design, the first watermark is an invisible watermark.

Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present invention can be implemented by software and/or hardware. The "unit" and "module" in this specification refer to software and/or hardware that can independently complete or cooperate with other components to complete specific functions. The hardware may be FPGA (Field-Programmable Gate Array), for example. , IC (Integrated Circuit, integrated circuit), etc.

The processing units and/or modules in the embodiments of the present invention may be implemented by analog circuits that implement the functions described in the embodiments of the present invention, or may be implemented by software that implements the functions described in the embodiments of the present invention.

The embodiment of the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above-mentioned image processing method are realized. The computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, micro drives, and magneto-optical disks, ROM, RAM, EPROM, EEPROM, DRAM, VRAM, flash memory devices , Magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or equipment suitable for storing instructions and/or data.

Refer to FIG. 8, which shows a schematic structural diagram of an electronic device related to an embodiment of the present invention, and the electronic device can be used to implement the image processing method provided in the foregoing embodiment. Specifically:

The memory 820 may be used to store software programs and modules. The processor 880 executes various functional applications and data processing by running the software programs and modules stored in the memory 820. The memory 820 may mainly include a program storage area and a data storage area. The program storage area may store an operating system, an application program required by at least one function (such as a sound playback function, an image playback function, etc.), etc.; The data (such as audio data, phone book, etc.) created by the use of the terminal device, etc. In addition, the memory 820 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices. Correspondingly, the memory 820 may further include a memory controller to provide the processor 880 and the input unit 830 to access the memory 820.

The input unit 830 can be used to receive inputted digital or character information, and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control. Specifically, the input unit 830 may include a touch-sensitive surface 831 (for example, a touch screen, a touch pad, or a touch frame). The touch-sensitive surface 831, also known as a touch screen or a touchpad, can collect user touch operations on or near it (for example, the user uses any suitable objects or accessories such as fingers, stylus, etc.) on or on the touch-sensitive surface 831. Operation near the touch-sensitive surface 831), and drive the corresponding connection device according to the preset program. Optionally, the touch-sensitive surface 831 may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch position, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and then sends it To the processor 880, and can receive and execute the commands sent by the processor 880. In addition, the touch-sensitive surface 831 can be realized by multiple types such as resistive, capacitive, infrared, and surface acoustic wave.

The display unit 840 may be used to display information input by the user or information provided to the user and various graphical user interfaces of the terminal device. These graphical user interfaces may be composed of graphics, text, icons, videos, and any combination thereof. The display unit 840 may include a display panel 841. Optionally, the display panel 841 may be configured in the form of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode, organic light emitting diode), etc. Further, the touch-sensitive surface 831 can cover the display panel 841. When the touch-sensitive surface 831 detects a touch operation on or near it, it is transmitted to the processor 880 to determine the type of the touch event, and then the processor 880 responds to the touch event. The type provides corresponding visual output on the display panel 841. Although in FIG. 8, the touch-sensitive surface 831 and the display panel 841 are used as two independent components to implement input and input functions, in some embodiments, the touch-sensitive surface 831 and the display panel 841 may be integrated to implement input. And output function.

The processor 880 is the control center of the terminal device. It uses various interfaces and lines to connect various parts of the entire terminal device. It runs or executes software programs and/or modules stored in the memory 820, and calls data stored in the memory 820 , Perform various functions of the terminal equipment and process data, so as to monitor the terminal equipment as a whole. Optionally, the processor 880 may include one or more processing cores; wherein the processor 880 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system, a user interface, and application programs, The modem processor mainly deals with wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 880.

Specifically, in this embodiment, the display unit of the terminal device is a touch screen display, and the terminal device also includes a memory and one or more programs. One or more programs are stored in the memory and configured to be configured by one or more programs. The execution of the one or more programs by the above processor includes steps for implementing the above image processing method.

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

The functional units in the embodiments of the present invention can be all integrated into one processing unit, or each unit can be individually used as a unit, or two or more units can be integrated into one unit; the above-mentioned integrated unit It can be implemented in the form of hardware or in the form of hardware plus software functional units.

The above descriptions are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various modifications and changes. Any modification, equivalent replacement, improvement, etc., made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

An image processing method, characterized in that the method includes:

Receiving a second image, the second image being generated based on the first image, the first image containing a first watermark;

Extracting watermark information from the second image;

Based on the extraction result, the image type of the second image is determined.
The image processing method according to claim 1, wherein the second image is a screenshot of a user disseminating and/or displaying the first image on a social network, and the social network includes: Internet social platforms, Internet social networks space.
The image processing method according to claim 1, wherein the determining the image type of the second image based on the extraction result comprises:

If the watermark information cannot be extracted from the second image, determine that the second image is a problem image; and/or

If the watermark information is extracted from the second image, the image type of the second image is determined based on the comparison result of the second watermark corresponding to the watermark information and the first watermark.
The image processing method according to claim 3, wherein the first watermark and the second watermark are two-dimensional code watermarks; and

The determining the image type of the second image based on the comparison result of the second watermark corresponding to the watermark information and the first watermark includes:

Identify the second watermark, and if the identification code of the second watermark is consistent with the identification code of the first watermark, determine that the second image is a normal image; and/or

If the identification code of the second watermark is inconsistent with the identification code of the first watermark, it is determined that the second image is a problem image.
The image processing method according to claim 1, wherein the first image is generated based on an image template containing the first watermark, and the first watermark in the image template is generated based on at least one of the following: The parameters of the image template, display parameters, content information, business information, and user-oriented information in the image template.
The image processing method according to claim 5, wherein the first watermark in the image template is updated with time.
The image processing method according to claim 1, wherein the extracting watermark information from the second image comprises: searching and/or identifying the watermark information from the second image based on extraction parameters , Wherein the extraction parameters include at least one of the following: sender information, parameters of the first image, parameters of the second image, and the first watermark.
The image processing method according to claim 1, wherein the first watermark is an invisible watermark.
An image processing device, characterized by comprising:

A receiving unit, configured to receive a second image, the second image being generated based on the first image, the first image containing a first watermark;

An extraction unit for extracting watermark information from the second image;

The determining unit is configured to determine the image type of the second image based on the extraction result.
A computer-readable storage medium with a computer program stored thereon, characterized in that the program implements the steps of the method in any one of claims 1-8 when the program is executed by a processor.
An electronic device, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, wherein the processor implements any one of claims 1-8 when the program is executed. The steps of the method described in item.