WO2018153299A1

WO2018153299A1 - Image processing method and apparatus, and storage medium

Info

Publication number: WO2018153299A1
Application number: PCT/CN2018/076419
Authority: WO
Inventors: 范俊豪; 程明宇; 罗凡
Original assignee: 腾讯科技（深圳）有限公司
Priority date: 2017-02-23
Filing date: 2018-02-12
Publication date: 2018-08-30
Also published as: CN108510424A; CN108510424B

Abstract

An embodiment of the present application provides an image processing method. The method is applied to a user equipment and comprises: in response to a request of a user for obtaining an image, obtaining an identifier of the user, and converting the identifier of the user into corresponding conversion information; obtaining the image according to the request, and obtaining multiple image elements in the image, an arrangement manner of the multiple image elements being in accordance with a preset arrangement rule; selecting multiple target elements from the multiple image elements according to multiple information elements in the conversion information, and a position relationship among the multiple target elements corresponding to the multiple information elements in the conversion information; and adjusting a display state of the multiple target elements, so that the display state of the multiple target elements is different from the that of other image elements in the image. The present application also provides another image processing method, a corresponding apparatus, and a storage medium.

Description

Image processing method, device and storage medium

The present application claims priority to Chinese Patent Application No. JP-A No. No. No. No. No. No. No. No. No. No. No. No. No. No. in.

Technical field

The embodiments of the present invention relate to the field of image processing technologies, and in particular, to a method, an apparatus, and a storage medium for image processing.

Background technique

With the rapid development of electronic technology, the usage rate of apps on smartphones and tablets is also increasing. The use of various special effects functions in image or video processing apps is gradually increasing. Users hope to identify pictures when sharing pictures. A watermark refers to a semi-transparent logo, icon, etc. added to the image to prevent others from stealing the map. For example, a typical online store owner will add a unique text watermark or icon to his product image. However, when creating a watermark on a picture, there will be a superposition of text and pictures or pictures and pictures, so how to properly add a watermark on the picture is a problem worthy of attention.

Technical content

The embodiment of the present application provides a method, a device, and a storage medium for image processing. By adding a target image element corresponding to a user identifier to an image, the image is protected, and the original information of the target image element in the image is reduced. Impact.

An embodiment of the present application provides a method for image processing, which is applied to a user equipment, and in response to a user acquiring an image, obtains a user identifier, and converts the user identifier into corresponding conversion information, where the conversion information includes a plurality of information elements for adjusting display states of the plurality of image elements on the image;

Acquiring the image according to the request, and acquiring a plurality of image elements in the image, the arrangement manner of the plurality of image elements conforming to a predetermined arrangement rule;

Selecting a plurality of target elements from the plurality of image elements according to the plurality of information elements in the conversion information, wherein a positional relationship between the plurality of target elements and a plurality of information elements in the conversion information Corresponding;

The display states of the plurality of target elements are adjusted such that display states of the plurality of target elements are different from other image elements in the image.

The embodiment of the present application further provides a method for image processing, which is applied to a terminal device or a server, and includes:

Acquiring an image to be processed in response to the identification request for the image;

Acquiring a plurality of image elements in the image to be processed, the arrangement manner of the plurality of image elements conforming to a predetermined arrangement rule;

Determining a plurality of target elements from the plurality of image elements, wherein display states of the plurality of target elements are different from display states of other image elements in the image;

Determining a user identifier corresponding to the image according to the plurality of target elements.

The embodiment of the present application further provides an apparatus for image processing, including:

processor;

a memory coupled to the processor; storing, in the memory, a machine readable instruction unit; the machine readable instruction unit comprising:

a first acquiring unit, configured to acquire a user identifier in response to a user acquiring an image;

a second acquiring unit, configured to convert the user identifier into corresponding conversion information, where the conversion information includes a plurality of information elements, to adjust a display state of the plurality of image elements on the image;

a third acquiring unit, configured to acquire the image according to the request;

a fourth acquiring unit, configured to acquire a plurality of image elements in the image, where the multiple image elements are arranged in a manner consistent with a predetermined arrangement rule;

a fifth acquiring unit, configured to select a plurality of target elements from the plurality of image elements according to the plurality of information elements in the conversion information, wherein a positional relationship between the plurality of target elements and the conversion Corresponding to multiple information elements in the information;

And a labeling unit, configured to adjust a display state of the plurality of target elements such that a display state of the plurality of target elements is different from other image elements in the image.

processor;

a first acquiring unit, configured to acquire an image to be processed in response to the identification request for the image;

a second acquiring unit, configured to acquire a plurality of image elements in the image to be processed, and the arrangement manner of the plurality of image elements conforms to a predetermined arrangement rule;

a first determining unit, configured to determine, from the plurality of image elements, a plurality of target elements, wherein display states of the plurality of target elements are different from display states of other image elements in the image;

And a second determining unit, configured to determine, according to the multiple target elements, a user identifier corresponding to the image.

The embodiment of the present application also provides a non-transitory computer readable storage medium, wherein the storage medium stores machine readable instructions, which are executable by a processor to perform any of the methods described above.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the present application. One of ordinary skill in the art can also obtain other drawings based on these drawings without paying for inventive labor.

1A is a system architecture diagram of an embodiment of the present application;

FIG. 1B is a flowchart of a method for image processing according to an embodiment of the present disclosure;

2 is a flowchart of another method for image processing provided by an embodiment of the present application;

3 is a flowchart of another method for image processing provided by an embodiment of the present application;

4 is a schematic diagram of a grid line provided by an embodiment of the present application;

FIG. 5 is a flowchart of another method for image processing according to an embodiment of the present application;

6 is a schematic diagram of an image element marked in a grid line according to an embodiment of the present application;

FIG. 7 is a schematic diagram of an effect of adding a label image element to a grid line according to an embodiment of the present application; FIG.

FIG. 8 is a flowchart of another method for image processing according to an embodiment of the present application;

FIG. 9 is a flowchart of another method for image processing according to an embodiment of the present application;

FIG. 10 is a flowchart of another method for image processing according to an embodiment of the present application;

11 is a block diagram showing the composition of an apparatus for image processing according to an embodiment of the present application;

FIG. 12 is a block diagram showing the composition of another apparatus for image processing according to an embodiment of the present application;

FIG. 13 is a block diagram showing the composition of another apparatus for image processing according to an embodiment of the present application; FIG.

FIG. 14 is a block diagram showing the composition of another apparatus for image processing according to an embodiment of the present application;

FIG. 15 is a schematic structural diagram of a computing device in an example of the present application.

detailed description

For a better understanding of the technical solutions of the embodiments of the present application, the embodiments of the present application are described in detail below with reference to the accompanying drawings.

It should be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts are within the scope of protection of the embodiments of the present application.

The terms used in the embodiments of the present application are for the purpose of describing the specific embodiments, and are not intended to limit the embodiments of the present application. The singular forms "a", "the", and "the"

It should be understood that the term "and/or" as used herein is merely an association describing the associated object, indicating that there may be three relationships, for example, A and/or B, which may indicate that A exists separately, while A and B, there are three cases of B alone. In addition, the character "/" in this article generally indicates that the contextual object is an "or" relationship.

FIG. 1A is a system architecture diagram of the present application. As shown in FIG. 1A, the system architecture includes: a client 1001 and a server 1002, wherein the client 1001 and the server 1002 are connected through the Internet. The client may be an application on the terminal device, and the application may be a browser or an application APP. The server may be a server that provides icon data. The terminal device may be a portable terminal device such as a mobile phone, a tablet, a palmtop computer, a wearable device, or a PC such as a desktop computer or a notebook computer, or may be a smart computer having various Internet access capabilities and a display interface. device.

When the user accesses the server 1002 through the client 1001, when the user wants to view an image, the client 1001 acquires data of the image in response to an operation of the user acquiring the image, wherein the data of the image can be acquired from the server. The client 1001 obtains the login account of the user, and the server 1002 obtains the user identifier uniquely corresponding to the login account according to the login account, and adds a watermark to the image according to the identifier of the user, and the added watermark uniquely corresponds to the user identifier. Thus, when the image is leaked, the corresponding user causing the leak can be determined based on the watermark on the image, thereby protecting the image. For example, user A accesses the company's financial system through his own account on the browser. When the user views the company's financial statements, the browser goes to the server to obtain the unique user identifier of the user according to the account of the user A, according to the user identifier. The watermark is added to the financial statement. When the financial statement is leaked, the watermark on the leaked financial statement can identify the identifier of the user A, so that it can be determined that the user A leaks the financial statement, thereby realizing the financial of the company. Data protection. The user identifier is a unique identifier assigned by the server to each user account. In addition, the user can also submit a watermarked picture to the server through the client, so that the server recognizes the user account corresponding to the watermark and returns.

An embodiment of the present application provides a method for image processing, which is applied to a client in the system architecture, and is applicable to any device or software carrier that can process a picture, for example, an application on a mobile phone, a tablet, or a device. (for example, browser). As shown in FIG. 1B, it includes:

101. Obtain a user identifier.

In some embodiments, the user logs in to the server through the client. After successfully logging in to the server, the user can browse the web page or data icon through the client. If the user wants to view a data icon or operate on a data icon that has already been displayed (e.g., screenshot, save image, etc.), the client obtains the user identification in response to the user's request to acquire the image.

The user identifier is a user identifier that is allocated by the server for each user account, and the user identifier uniquely corresponds to the user account. The user identifier is various types of information used to identify the user identity corresponding to the user account, and may include a user name, a digital signature, a unique code assigned by the system, and the like. The user account is a user's permission account. For example, log in to the account of the financial management system, log in to the member account of the website of the social group, and the like. When the client receives the operation of the user triggering the acquisition of the image (for example, the user triggers the operation of acquiring the financial statement), the user identifier that uniquely corresponds to the user's account is obtained from the server.

102. Obtain corresponding conversion information according to the user identifier.

In some embodiments, the conversion information includes a plurality of information elements for adjusting display states of the plurality of image elements on the image.

In order to facilitate the subsequent selection of the specified target element in the image element, the embodiment of the present application determines a conversion information uniquely corresponding to the user identifier by using the user identifier, and the conversion information may be a sequence of numbers, a sequence of letters, a sequence of symbols, etc. It is a mixed sequence of the foregoing various types of sequences, or a preset conversion rule, etc., which is not limited by the embodiment of the present application.

103. Acquire an image to be processed.

In the embodiment of the present application, the image to be processed may be an image of various types of identification information such as a watermark to be added, and the corresponding image storage format may be JPG, PNG, BMP, or the like. The client has a function of image processing. For example, when a user logs into the company's financial system through a browser, a quarterly sales chart is obtained in the system, the browser goes to the server to obtain quarterly sales data, and the image processing component in the browser also defines some image elements, for example, Columns in the histogram, abscissa, ordinate, grid lines, etc. The image processing component in the browser generates a quarterly sales chart based on the acquired sales data and the customized image element rendering. Among them, adding a watermark in the chart can be added before the selection, so that the watermark corresponding to the user has been added to the quarterly sales chart that the user sees. At the same time, after the chart is rendered, the watermark corresponding to the user can be added to the rendered chart.

104. Acquire an image element in a to-be-processed image that conforms to a specific arrangement.

When the above step 104 is performed, acquiring a plurality of image elements in the image to be processed is performed, and the arrangement manner of the plurality of image elements conforms to a predetermined arrangement rule.

It is mentioned in the above step 103 that the image processing component in the browser is to customize some image elements to be added to the generated image, for example, grid lines, abscissas, ordinates, and the like. When acquiring an image element, an image element with the same interval in the image may be acquired, for example, a grid line in the image is selected as an image element, and then the display state is changed for a specific grid point in the grid line to implement watermarking. Operation so that the watermark does not affect the original information in the image. The specific grid point needs to be determined based on the conversion information. The image elements with the same interval may be image elements that are equally arranged in various arrangements, wherein the arrangement refers to conforming to a specific regular shape, such as a square, a line, a circle, and the like.

When image elements of the same interval cannot be acquired in the image, for example, images of some photo types, the image elements are selected according to a predetermined rule. For example, at the corners of the image (including the four corners of the image), a row of pixels or a column of pixels of substantially gray color is used as the image element.

105. Acquire a target element from the image element according to the conversion information.

When the above step 105 is performed, a plurality of target elements are selected from the plurality of image elements such that a positional relationship of the plurality of target elements corresponds to the conversion information.

A target element is obtained from the image element according to the conversion information, and a positional relationship of the target element in all image elements corresponds to the conversion information.

The implementation of this step can be understood as the relative positional relationship between the image elements can reflect the sequence relationship specified by the various elements or rules carried in the conversion information. For example, if the conversion information is a digital sequence, the relative positional relationship between the image elements can reflect information such as the numerical size and numerical order carried by the digital sequence; if the conversion information is a sequence of letters, the relative positional relationship between the image elements can be It reflects the position and order of the letters in the corresponding alphabet; if the conversion information is a sequence of symbols, the relative positional relationship between the image elements can reflect the order of appearance of the symbols and the like.

106. Label the target element.

When the above step 106 is performed, the display state of the target element is adjusted such that the display state of the target element is different from other elements.

In the embodiment of the present application, the labeling is to distinguish the display state of other image elements, and may be to adjust the size of the target element; and the color of the target element may also be adjusted. For example, color deepening, color change or size adjustment, or size and color synchronization adjustments are all optional implementations.

The process of labeling the target element can be added by the SVG method, so that the image of the watermark corresponding to the user identifier can be obtained by integrating the SVG path of the original image to be processed and the SVG path of the labeled target element.

The image processing method provided by the embodiment of the present application converts a user identifier corresponding to a user into a target element in an image uniquely corresponding to the user identification information, and adds a watermark (target element) to the image to be processed. In the image element. In this way, the user's identification information (watermark) is added to the image without affecting the original information of the image. Compared with the prior art, the technical solution provided by the embodiment of the present application can reduce the influence of the watermark on the original information of the image.

At the same time, once a user leaks an image onto the network, we can parse out the watermark of the user contained in the image based on the leaked image, thereby finding the source user of the information leak based on the watermark. This method avoids the discovery and erasure behavior of the watermark for the information leaker because the watermark added by the method is not obvious.

In some examples, the image processing method provided by the present application further includes the following steps:

Acquiring a user account of the user in response to a login operation on the user equipment;

The obtaining the user identifier in response to the user acquiring the image includes:

And obtaining, by the user account, a server identifier corresponding to the user account.

Since the content or format of the user identification itself does not necessarily translate into image elements that are subsequently used for annotation, the user identification needs to be processed to determine appropriate conversion information. For example, if the image element needs to be supported by a digital sequence in the labeling process, and the user identifier is indeed a sequence of letters, it is necessary to convert the user identifier that satisfies the sequence of letters into a sequence of numbers for labeling subsequent image elements, similarly, if In the labeling process of image elements, the support of the alphabetic sequence is required. When the user identifier is indeed a sequence of numbers, it is necessary to convert the user identifier satisfying the digit sequence into a sequence of letters for labeling subsequent image elements, and the like. For this purpose, the embodiment of the present application provides a corresponding implementation process for the conversion of the user identifier, that is, the specific implementation process of step 102 is provided, as shown in FIG. 2, including:

1021: Perform encryption processing on the user identifier by using a specified rule to obtain the conversion information.

The specified rule is a first encryption rule, and the first encryption rule is an encryption algorithm, configured to convert a user identifier into conversion information. The specified rules (first encryption rules) can be implemented in a variety of ways, and can be arbitrarily selected according to requirements, such as inserting redundant bits, data confusion, conversion to binary numbers, ACSII code conversion, and the like. The selection of the specified rule in the embodiment of the present application is open, and different devices or software applications allow different processing modes to be selected, which has both flexibility and privacy, and the selection of the specified rule (first encryption rule) is in the function. There is no difference between good and bad, as long as the original data can be accurately and uniquely represented, but for device performance and recognition cost, it is more efficient to select a lower complexity specification rule (first encryption rule).

In order to facilitate the annotation of image elements, it is necessary to edit based on the existing image elements in the image to be processed. For this purpose, the embodiment of the present application provides a specific implementation manner related to step 104, as shown in FIG. 3, including:

1041. Acquire a point in the image to be processed that conforms to a linear arrangement.

When the above step 1041 is performed, acquiring a plurality of image elements having the same interval in the image to be processed is performed.

The points conforming to the linear arrangement may include grid lines, mark lines, page lines, and the like, and line-shaped image elements which are composed of points, circles or squares, and short line segments and arranged in a certain regular pattern, as shown in FIG. 4 . As mentioned above, the image processing layout in the browser is to set some image elements and add image elements to the rendered image. The image processing layout also positions the image elements of the order, for example, defining a number of grid lines, the position of each grid line (for example, adding grid lines at positions of ordinates of 10, 20, 30, and 40, respectively), At the same time, a watermark corresponding to the user identifier is added on the first grid lines, for example, a watermark is added on the first grid line.

Of course, other image elements having a specific arrangement may also be selected in the embodiment of the present application, for example, a dot matrix, a field lattice, and the like.

It should be noted that, in the image to be processed, the points in the linear arrangement may not exist in all the images to be processed. Therefore, in the implementation manner provided by the embodiment of the present application, the display effect of the original image is not affected. If there is a point in the image to be processed that conforms to the linear arrangement, it is directly used as the basis of the labeling of the image element; if there is no point in the image to be processed that conforms to the linear arrangement, the point according to the preset linear arrangement may be used. Add a position where the image is not conspicuous (for example, at the corner position of the image, a row of pixels whose pixels are substantially gray is used as the basis of the annotation).

In some examples, the conversion information includes N information elements, N being a positive integer. The embodiment of the present application further provides a description of a specific implementation manner of the method for performing image element labeling using a digital sequence, that is, a specific implementation manner of step 105, and the process is as shown in FIG. 5, including:

1051. Determine a sorting sequence and a first target element according to the conversion information.

The sorting sequence is a sequence of numbers including N digits, and each digit in the digit sequence corresponds to each information element in the conversion information.

The user identifier is stored on the server, and the server administrator can obtain the user identifier. To ensure the security of the corresponding target element obtained according to the user identifier, the first encryption rule is preset, and the user identifier is converted into the first encryption rule by using the first encryption rule. Convert information. The administrator of the server cannot obtain the first encryption rule. At the same time, the sorting sequence is to further improve the security of the user identification and facilitate the annotation of the target element. The conversion information is converted into a sorting sequence by a preset second encryption rule. For example, it may be a sequence in which the elements in the conversion information are reversed in the order of the preceding and succeeding, scrambled in a specified order, or regenerated according to a specified operation rule operation, alphanumeric substitution, ACSII code conversion, or the like.

The first target element is a reference image element in all the image elements that may be labeled, and the first point or the random point in the point of the linear arrangement may be selected, which is not limited in this embodiment of the present application.

In addition, it should be additionally noted that, in order to facilitate selection and labeling of target elements, the above sorting sequence is generally a sequence based on numbers. Of course, other feasible forms such as letters or symbols can also be used, and it is necessary to select according to actual conditions.

1042. Determine, according to the size of the first number in the sorting sequence, an image element that is spaced apart from the first target element by the size of the first number as the second target element.

1053. Determine, according to the size of the second number in the sorting sequence, an image element that is spaced apart from the second target element by the size of the second number as a third target element; and so on until obtaining N target elements.

In some examples, the conversion information is converted to the sorted sequence according to a preset second encryption rule. The second encryption rule is an encryption algorithm, and the specific encryption algorithm is not limited in this application.

In some examples, the conversion information is a digital sequence, and converting the conversion information into the sequence according to the preset second encryption rule includes at least one of the following:

The second encryption rule is a predetermined sorting manner, and the numbers in the digital sequence are sorted according to the predetermined sorting manner to obtain the sorting sequence; and

The second encryption rule is a predetermined magnification, and the numbers in the digital sequence are resized according to the predetermined magnification to obtain the sorting sequence.

In some examples, wherein the conversion information is a sequence of letters, and performing the converting the conversion information into the sorting sequence according to a preset second encryption rule comprises:

The sorting sequence is determined based on the position of each letter in the alphabet in the alphabet.

In this example, the second encryption rule is to obtain the position number of each letter in the alphabet sequence in the alphabet.

In some examples, the conversion information is a sequence of symbols, and when the converting the conversion information into the sorting sequence according to a preset second encryption rule, the method includes:

The sorting sequence is determined according to an ACSII code value corresponding to each symbol in the symbol sequence. In this example, the second encryption rule is to obtain an ACSII code value for each symbol in the symbol sequence.

In the embodiment of the present application, the conversion information may include various expressions, such as a digital sequence, a letter sequence, a symbol sequence, and the like. Therefore, depending on the way the conversion information is expressed, there are some differences in the process of determining the sorting sequence. The determination method of the sorting sequence will be discussed below in conjunction with a specific example.

The first case: the conversion information is a sequence of numbers.

At this time, each digit in the digital sequence is sorted according to a specified sorting manner to obtain the sorting sequence, or the digits in the digit sequence are resized according to a specified multiple, the sorting sequence is obtained, or a combination thereof . This is beneficial to increase the security of the user identity and the difficulty of other users in identifying the user identity.

For example, as shown in FIG. 6, if the user identifier is ABCDE, the corresponding number sequence is obtained according to the first encryption rule, which may be 12345. The first encryption rule is to obtain the position number of the letter in the alphabet. Correspondingly, the sorting sequence is obtained according to the second encryption rule. For example, the sorting sequence can be adjusted to 54321 by the reverse processing, or the multiples can be uniformly expanded to 2, 4, 6, 8, and 10. For the convenience of the following description, the sorting sequence is tentatively set to 54321. At this time, if there are 40 points that match the linear arrangement, then the 5th point can be selected as the first target element. At this time, the position of the second target element is the 11th (5+5+1)th point. The position of the third target element is the 16th (11+4+1)th point, the position of the fourth target element is the 20th (16+3+1)th point, and the position of the fifth target element is the first 23 (20 + 2 + 1) points, the position of the sixth target element is the 25th (23 + 1 + 1) points. The marked grid lines show the effect as shown in the dotted line frame in Figure 7.

The second case: the conversion information is a sequence of letters.

At this time, the sorting sequence is obtained according to the positional relationship of each letter in the alphabetic sequence in its corresponding alphabet.

For example, if the user identifier is 12345, the corresponding letter sequence may be bcdef (according to the first encryption rule), and the corresponding sorting sequence may map bcdef to 23456 by alphabetical order of the English alphabet (according to the second encryption rule) Get), you can also offset the sequence number to map bcdef to 45678. For the convenience of the following description, the sorting sequence is tentatively set to 23456. At this time, if there are 40 points that match the linear arrangement, then the third point can be selected as the first target element. At this time, the position of the second target element is the 6th (3+2+1)th point. The position of the third target element is the 10th (6+3+1)th point, the position of the fourth target element is the 15th (10+4+1)th point, and the position of the fifth target element is the first 21 (15 + 5 + 1) points, the position of the sixth target element is the 27th (21 + 5 + 1) points. The selection and examples of the target elements in this case are similar to the first case, and the principles shown in FIGS. 6 and 7 can also be referred to.

The third case: the conversion information is a sequence of symbols.

For example, if the user identifier is 12345, the corresponding symbol sequence may be “;<=>?” (according to the first encryption rule), and the corresponding sorting sequence may be mapped to 59, 60, 61 by the ACSII code value. 62, 63 (according to the second encryption rule), the sequence number may also be offset to map "; <=>?" to 60, 61, 62, 63, 64. For the convenience of the following description, the sorting sequence is tentatively set to 60, 61, 62, 63, 64 here. At this time, if there are 80 points that match the linear arrangement, then the first point can be selected as the first target element. At this time, the position of the second target element is the 62nd (60+1+1)th point. The position of the third target element is the 124th (62+61+1)th point, the position of the fourth target element is the 187th (124+62+1)th point, and the position of the fifth target element is the first 251 (187 + 63 + 1) points, the position of the sixth target element is the 316 (251 + 64 + 1) points. The selection and examples of the target elements in this case are similar to the first case, and the principles shown in FIGS. 6 and 7 can also be referred to.

It should be noted that the above-mentioned generation results and the generation manners of the digital sequence, the alphabetic sequence, and the symbol sequence are only examples, and can be configured and generated according to the actual situation, which is not limited in the embodiment of the present application.

In some examples, the display state of the target element is adjusted, including at least one of the following:

Adjusting the size of the target element; and, adjusting the color of the target element.

In addition, in order to solve the problem that the image of the labeled image element is identified, the image processing method is applied to the terminal device or the server. As shown in FIG. 8 , the method includes:

201. Acquire an image to be processed.

The image to be processed here is the image obtained after performing the aforementioned step 106. The image to be processed is acquired in response to the identification request for the image. For example, when the financial staff of the formula leaks the company's quarterly sales chart, when the company finds the chart, the company related personnel can submit the chart to the server online to identify the user identifier corresponding to the watermark carried therein. This makes it possible to find the person who leaked the chart. At the same time, the chart can be handed over to the maintenance personnel of the server, and the maintenance personnel input the chart into the application program on the terminal device, identify the user identifier carried in the chart, and output the user identifier corresponding to the user. user account.

202. Acquire an image element in a to-be-processed image that conforms to a specific arrangement.

When the above step 202 is performed, a plurality of image elements in the image to be processed are acquired, and the arrangement manner of the plurality of image elements conforms to a predetermined arrangement rule.

The image elements mentioned in the specific arrangement mentioned here correspond to the image elements mentioned in step 104, because the labeled image elements will be reflected in the image elements in the image to be processed that match the specific arrangement, so Find in the image to be processed.

203. Determine the labeled target element from the image elements that meet the specific arrangement.

When the above step 203 is performed, a plurality of target elements are determined from the plurality of image elements, wherein display states of the plurality of target elements are different from display states of other image elements in the image.

204. Determine a user identifier according to the marked target element.

Corresponding to the foregoing step 1041, the specific implementation of the step 202 is to obtain a point in the image to be processed that conforms to the linear arrangement.

Corresponding to the foregoing step 106, the specific implementation of step 203 requires determining image elements having specific specifications and/or specific colors from the image elements that conform to the particular arrangement as the labeled target elements.

In some examples, the acquiring the plurality of image elements in the image to be processed includes:

Obtaining a plurality of image elements having the same interval in the image to be processed. The steps of obtaining the image elements are the same as the related steps in the previous image processing method provided by the present application, and details are not described herein again.

In some examples, wherein the determining a plurality of target elements from the plurality of image elements comprises:

An image element having at least one of a display specification and a display color different from the other images is used as the target element among the plurality of image elements.

Since the specification and/or color of the target element is modified when the display state of the target element is adjusted, the target element can be determined according to the specification and/or color of the target element.

In some examples, the determining, by the plurality of target elements, the user identifier corresponding to the image includes:

Determining the ordering of the plurality of target elements;

Determining a spacing between two adjacent target elements in the sorting according to the ranking of the plurality of target elements;

Determining a sorting sequence of the plurality of target elements according to a spacing between the adjacent two target elements;

Determining a user identifier corresponding to the image according to the sorting sequence.

The ordering of the target elements may be a sorting rule from the heading to the back, a sorting rule from the back to the front, a sorting rule from the top to the bottom, a sorting rule from the bottom up, and other sorting rules.

In some examples, wherein the sorting sequence is a sequence of numbers comprising N digits, N being a positive integer;

The determining the sequence of the plurality of target elements according to the spacing between the two adjacent target elements comprises:

Determining a first element in the sorting sequence according to a spacing between a first target element and a second target element;

Determining a second element in the sorting sequence according to a spacing between the second target element and the third target element;

And so on until the N numbers in the sorting sequence are obtained.

Corresponding to the foregoing steps 1051 to 1053, the specific implementation of step 204 is as shown in FIG. 9, and includes:

2041. Determine a size of a first number in the sorting sequence according to a spacing between the first target element and the second target element.

2042. Determine a size of a second number in the sorting sequence according to a spacing between the second target element and the third target element; and so on to obtain all elements in the sorting sequence.

2043. Determine a user identifier according to the quantity, sort, and size of the elements in the determined sorting sequence.

In the implementation process of step 2043, the following

steps

20431 and 20432 are further included, as shown in FIG. 10, including:

20431. Determine conversion information corresponding to the user identifier according to the determined number, order, and size of elements in the sorting sequence.

When the above step 20431 is performed, the sorting sequence is converted into conversion information according to a preset first decryption rule.

20432. Obtain a corresponding user identifier according to the determined conversion information.

When the above 20432 is executed, the conversion information is converted into the user identifier according to a preset second decryption rule.

The first decryption rule corresponds to the second encryption rule and is an inverse operation of the second encryption rule. The second decryption rule corresponds to the first encryption rule and is an inverse operation of the first encryption rule.

In some examples, the converting the sorting sequence into conversion information according to a preset first decryption rule includes at least one of the following:

The first decryption rule is a predetermined sorting manner, and each digit in the sorting sequence is sorted according to the predetermined sorting manner to obtain the conversion information; and

The first decryption rule is a predetermined magnification, and each digit in the sorting sequence is resized according to the predetermined magnification to obtain the conversion information.

Corresponding to the foregoing several cases in which the target element is determined based on the user identifier, the embodiment of the present application is convenient for the technical personnel to understand, and the corresponding user identification restoration process is also provided here.

The first case: the conversion information is a sequence of numbers.

The specific implementation manner of determining the conversion information corresponding to the user identifier according to the quantity, the sorting, and the size of the elements in the determined sorting sequence may be to sort the numbers in the sorting sequence according to a specified sorting manner, and obtain a digital sequence. And as the conversion information; and/or, resizing each digit in the sorting sequence by a specified multiple to obtain a digital sequence as the conversion information.

The corresponding user identification identification process may include, for example, determining that the fifth, 11, 16, 20, 23, and 25 are six target elements according to the execution result of step 203. At this time, according to 204 and its specific implementation flow, the corresponding sorting sequence 5(11-5-1)4(16-11-1)3(20-16-1)2(23-20-1)1 can be confirmed. (25-23-1), the corresponding number sequence can be 12345, and the user ID is finally determined to be ABCDE.

The second case: the conversion information is a sequence of letters.

The specific implementation manner of determining the conversion information corresponding to the user identifier according to the number, order, and size of the elements in the determined sorting sequence may be based on the positional relationship of each letter in the specified alphabet, according to the elements in the sorting sequence. The number, order, and size of the number of letters in the corresponding letter sequence are determined as the conversion information.

The corresponding user identification and recognition process may include, for example, determining that the third, sixth, ten, 15, 21, and 27 are six target elements according to the execution result of step 203. At this time, according to 204 and its specific implementation flow, the corresponding sorting sequence 2(6-3-1)3(10-6-1)4(15-10-1)5(21-15-1)6 can be confirmed. (27-21-1), the corresponding letter sequence can be bcdef, and the user ID is finally determined to be 12345.

The third case: the conversion information is a sequence of symbols.

The specific implementation manner of determining the conversion information corresponding to the user identifier according to the number, order, and size of the elements in the determined sorting sequence may be based on the ACSII code table, and determining corresponding according to the size of each element in the sorting sequence. Symbol; determines the corresponding symbol sequence as the conversion information according to the number, order, and determined symbols of the elements in the determined sorting sequence.

For example, the corresponding user identification identification process may include: determining, according to the execution result of step 203, that the first target element is 62, 124, 187, 251, and 316. At this time, according to 204 and its specific implementation flow, the corresponding sorting sequence 60(62-1-1) 61(124-62-1)62(187-124-1)63(251-187-1)64 can be confirmed. (316-251-1), the corresponding number sequence can be 60, 61, 62, 63, 64, and the user identification is finally determined as "; <=>?".

The embodiment of the present application provides an apparatus 1100 for image processing, as shown in FIG. 11, which can be used to implement the foregoing 101 to 106 and a specific method thereof, including:

The first obtaining unit 31 is configured to acquire the user identifier in response to the user acquiring the image.

The second obtaining unit 32 is configured to convert the user identifier into corresponding conversion information, where the conversion information includes a plurality of information elements for adjusting display states of the plurality of image elements on the image.

a third obtaining unit 33, configured to acquire the image according to the request;

The fourth obtaining unit 34 is configured to acquire a plurality of image elements in the image, and the plurality of image elements are arranged in a manner consistent with a predetermined arrangement rule.

a fifth obtaining unit 35, configured to select, from the plurality of image elements, a plurality of target elements according to the plurality of information elements in the conversion information, wherein a positional relationship between the plurality of target elements is Multiple information elements in the conversion information correspond.

The labeling unit 36 is configured to adjust display states of the plurality of target elements such that display states of the plurality of target elements are different from other image elements in the image.

In some embodiments, the second obtaining unit 31 is specifically configured to perform encryption processing on the user identifier by using a preset first encryption rule to obtain the conversion information.

In some embodiments, the fourth obtaining unit 34 is specifically configured to acquire a plurality of image elements having the same interval in the image.

In some embodiments, the conversion information includes N information elements, N is a positive integer, and the fifth obtaining unit 35 is specifically configured to determine a sorting sequence and a first target element according to the conversion information, where The sorting sequence is a sequence of numbers comprising N digits, each digit in the digit sequence corresponding to each information element in the conversion information; determining the first target according to the size of the first digit in the sorting sequence An image element having an element spacing of the size of the first number as a second target element; determining, according to a size of the second number in the sorting sequence, a spacing from the second target element to the second The image element of the size of the number, as the third target element; and so on, until N target elements are obtained.

In some embodiments, the conversion information is a sequence of numbers, and the fifth obtaining unit 35 is further configured to perform at least one of the following operations,

In some embodiments, the fifth obtaining unit 35 is further configured to: when the conversion information is a sequence of letters, obtain the sort according to a positional relationship of each letter in the alphabet sequence in its corresponding alphabet. sequence.

In some embodiments, the fifth obtaining unit 35 is further configured to: when the converted information is a symbol sequence, obtain the sorting sequence according to an ACSII code value corresponding to each symbol in the symbol sequence.

In some embodiments, the labeling unit 36 is specifically configured to adjust a size of the target element; and/or adjust a color of the target element.

The embodiment of the present application provides an apparatus 1200 for image processing, as shown in FIG. 12, which can be used to implement the foregoing 201 to 204 and a specific method thereof, including:

The first obtaining unit 41 is configured to acquire an image to be processed in response to the identification request for the image.

The second obtaining unit 42 is configured to acquire a plurality of image elements in the image to be processed, and the arrangement manners of the plurality of image elements conform to a predetermined arrangement rule.

The first determining unit 43 is configured to determine, from the plurality of image elements, a plurality of target elements, wherein display states of the plurality of target elements are different from display states of other image elements in the image.

The second determining unit 44 is configured to determine, according to the multiple target elements, a user identifier corresponding to the image.

In some embodiments, the second obtaining unit 42 is specifically configured to acquire a plurality of image elements having the same interval in the image to be processed.

In some embodiments, the first determining unit 43 is specifically configured to use, as the target element, an image element that is different from the other images in at least one of the display specification and the display color among the plurality of image elements.

In some embodiments, as shown in FIG. 13, the second determining unit 44 includes:

a first determining module 441, configured to determine an order of the plurality of target elements; and determine a spacing between adjacent two target elements in the sorting according to the sorting of the plurality of target elements.

The second determining mode 442 is configured to determine a sorting sequence of the plurality of target elements according to a spacing between the two adjacent target elements.

Determining the size of the first number in the sorting sequence according to the spacing between the first target element and the second target element; determining the size of the second number in the sorting sequence according to the spacing between the second target element and the third target element; And so on, to get all the elements in the sorting sequence.

The third determining module 443 is configured to determine, according to the sorting sequence, a user identifier corresponding to the image.

In some examples, wherein the sorting sequence is a sequence of numbers including N digits, N is a positive integer; and the second determining module 442 is configured to:

And so on until the N numbers in the sorting sequence are obtained.

In some examples, the third determining module 443 is configured to:

Converting the sorting sequence into conversion information according to a preset first decryption rule;

Converting the conversion information into the user identifier according to a preset second decryption rule.

In some embodiments, as shown in FIG. 14, the first determining module 441 includes:

The first determining sub-module 4411 is configured to determine, according to the determined number, order, and size of the elements in the sorting sequence, the conversion information corresponding to the user identifier.

The second determining sub-module 4412 is configured to obtain a corresponding user identifier according to the determined conversion information.

In some embodiments, the first determining sub-module 4411 is specifically configured to sort each digit in the sorting sequence according to a specified sorting manner to obtain the digit sequence; and/or, for each digit in the sorting sequence The sequence of numbers is obtained by resizing according to a specified multiple.

In some embodiments, the first determining sub-module 4411 is specifically configured to determine, according to the positional relationship of each letter in the specified alphabet, the letters in the corresponding alphabetic sequence according to the number, order, and size of the elements in the sorting sequence. Quantity and sorting as the conversion information.

In some embodiments, the first determining sub-module 4411 is specifically configured to determine, according to an ACSII code table, a corresponding symbol according to a size of each element in the sorting sequence; according to the determined number, order, and The determined symbol determines the corresponding symbol sequence as the conversion information

The present application also provides a non-transitory computer readable storage medium, wherein the storage medium stores machine readable instructions, which are executable by a processor to perform the method.

The apparatus for image processing provided by the embodiment of the present application converts a user identifier corresponding to a user into a target element in an image uniquely corresponding to the user identification information, and adds a watermark (target element) to the existing image to be processed. In the image element. In this way, the user's identification information (watermark) is added to the image without affecting the original information of the image. Compared with the prior art, the technical solution provided by the embodiment of the present application can reduce the influence of the watermark on the original information of the image.

FIG. 15 is a diagram showing the composition of a computing device in which the image processing apparatus 1100 and the image processing apparatus 1200 are located. As shown in FIG. 15, the computing device includes one or more processors (CPUs) 1502, communication modules 1504, memories 1506, user interfaces 1510, and a communication bus 1508 for interconnecting these components.

The processor 1502 can receive and transmit data through the communication module 1504 to effect network communication and/or local communication.

User interface 1510 includes one or more output devices 1512 that include one or more speakers and/or one or more visual displays. User interface 1510 also includes one or more input devices 1514 including, for example, a keyboard, a mouse, a voice command input unit or loudspeaker, a touch screen display, a touch sensitive tablet, a gesture capture camera or other input button or control, and the like.

Memory 1506 can be a high speed random access memory such as DRAM, SRAM, DDR RAM, or other random access solid state storage device; or nonvolatile memory such as one or more disk storage devices, optical disk storage devices, flash memory devices, Or other non-volatile solid-state storage devices.

The memory 1506 stores a set of instructions executable by the processor 1502, the instruction code stored in the memory being configured to be executed by the processor to implement the steps in the method of image processing in the present application described above, while also implementing image processing of the present application. The function of each module in the device.

A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner. For example, multiple units or components may be combined. Or it can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

The above-described integrated unit implemented in the form of a software functional unit can be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform the methods of the various embodiments of the present application. Part of the steps. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .

The above description is only the preferred embodiment of the present application, and is not intended to limit the embodiments of the present application. Any modifications, equivalent replacements, improvements, etc., which are included in the principles of the embodiments of the present application, should be included in Within the scope of protection of the embodiments of the present application.

Claims

A method for image processing, applied to a user equipment, comprising:

Retrieving the user identifier, and converting the user identifier into corresponding conversion information, wherein the conversion information includes a plurality of information elements for adjusting a plurality of image elements on the image, in response to the user acquiring the image Display state;

Acquiring the image according to the request, and acquiring a plurality of image elements in the image, the arrangement manner of the plurality of image elements conforming to a predetermined arrangement rule;

Selecting a plurality of target elements from the plurality of image elements according to the plurality of information elements in the conversion information, wherein a positional relationship between the plurality of target elements and a plurality of information elements in the conversion information Corresponding;

The display states of the plurality of target elements are adjusted such that display states of the plurality of target elements are different from other image elements in the image.
The method of claim 1 wherein the method further comprises:

Acquiring a user account of the user in response to a login operation on the user equipment;

The obtaining the user identifier in response to the user acquiring the image includes:

And obtaining, by the user account, a server identifier corresponding to the user account.
The method of claim 1, wherein the converting the user identifier into corresponding conversion information comprises:

The user identifier is encrypted by using a preset first encryption rule to obtain the conversion information.
The method of claim 1 wherein said obtaining a plurality of image elements in said image comprises:

Acquiring a plurality of image elements of the same interval in the image.
The method according to claim 4, wherein said conversion information comprises N information elements, N being a positive integer; said selecting from said plurality of image elements based on a plurality of information elements in said conversion information Target elements include:

Determining, according to the conversion information, a sorting sequence and a first target element, wherein the sorting sequence is a digital sequence comprising N digits, each digit in the digit sequence corresponding to each information element in the conversion information;

Determining, according to the size of the first number in the sorting sequence, an image element that is spaced apart from the first target element by the size of the first number as a second target element;

Determining, according to the size of the second number in the sorting sequence, an image element that is spaced apart from the second target element by the size of the second number as the third target element;

And so on, until N target elements are obtained.
The method of claim 5, wherein the determining the sorting sequence according to the conversion information comprises:

Converting the conversion information into the sorting sequence according to a preset second encryption rule.
The method according to claim 6, wherein the conversion information is a digital sequence, and converting the conversion information into the sorting sequence according to a preset second encryption rule comprises at least one of the following:

The second encryption rule is a predetermined sorting manner, and the numbers in the digital sequence are sorted according to the predetermined sorting manner to obtain the sorting sequence; and

The second encryption rule is a predetermined magnification, and the numbers in the digital sequence are resized according to the predetermined magnification to obtain the sorting sequence.
The method according to claim 6, wherein the conversion information is a sequence of letters, and converting the conversion information into the sorting sequence according to a preset second encryption rule comprises:

The sorting sequence is determined based on the position of each letter in the alphabet in the alphabet.
The method according to claim 6, wherein the conversion information is a sequence of symbols, and the converting the conversion information into the sorting sequence according to a preset second encryption rule comprises:

The sorting sequence is determined according to an ACSII code value corresponding to each symbol in the symbol sequence.
The method of claim 1, wherein the display state of the target element is adjusted, including at least one of the following:

Adjusting the size of the target element; and

Adjust the color of the target element.
A method for image processing, applied to a terminal device or a server, comprising:

Acquiring an image to be processed in response to the identification request for the image;

Acquiring a plurality of image elements in the image to be processed, the arrangement manner of the plurality of image elements conforming to a predetermined arrangement rule;

Determining a plurality of target elements from the plurality of image elements, wherein display states of the plurality of target elements are different from display states of other image elements in the image;

Determining a user identifier corresponding to the image according to the plurality of target elements.
The method of claim 11, wherein the obtaining a plurality of image elements in the image to be processed comprises:

Obtaining a plurality of image elements having the same interval in the image to be processed.
The method of claim 11 wherein said determining a plurality of target elements from said plurality of image elements comprises:

An image element having at least one of a display specification and a display color different from the other images is used as the target element among the plurality of image elements.
The method according to claim 11, wherein the determining the user identifier corresponding to the image according to the plurality of target elements comprises:

Determining the ordering of the plurality of target elements;

Determining a spacing between two adjacent target elements in the sorting according to the ranking of the plurality of target elements;

Determining a sorting sequence of the plurality of target elements according to a spacing between the adjacent two target elements;

Determining a user identifier corresponding to the image according to the sorting sequence.
The method of claim 14, wherein the sorting sequence is a sequence of numbers comprising N numbers, N being a positive integer;

The determining the sequence of the plurality of target elements according to the spacing between the two adjacent target elements comprises:

Determining a first element in the sorting sequence according to a spacing between a first target element and a second target element;

Determining a second element in the sorting sequence according to a spacing between the second target element and the third target element;

And so on until the N numbers in the sorting sequence are obtained.
The method according to claim 14, wherein the determining the user identifier corresponding to the image according to the sorting sequence comprises:

Converting the sorting sequence into conversion information according to a preset first decryption rule;

Converting the conversion information into the user identifier according to a preset second decryption rule.
The method according to claim 16, wherein said converting said sorting sequence into conversion information according to a preset first decryption rule comprises at least one of the following:

The first decryption rule is a predetermined sorting manner, and each digit in the sorting sequence is sorted according to the predetermined sorting manner to obtain the conversion information; and

The first decryption rule is a predetermined magnification, and each digit in the sorting sequence is resized according to the predetermined magnification to obtain the conversion information.
An apparatus for image processing, comprising:

processor;

a memory coupled to the processor; storing, in the memory, a machine readable instruction unit; the machine readable instruction unit comprising:

a first acquiring unit, configured to acquire a user identifier in response to a user acquiring an image;

a second acquiring unit, configured to convert the user identifier into corresponding conversion information, where the conversion information includes a plurality of information elements, to adjust a display state of the plurality of image elements on the image;

a third acquiring unit, configured to acquire the image according to the request;

a fourth acquiring unit, configured to acquire a plurality of image elements in the image, where the multiple image elements are arranged in a manner consistent with a predetermined arrangement rule;

a fifth acquiring unit, configured to select a plurality of target elements from the plurality of image elements according to the plurality of information elements in the conversion information, wherein a positional relationship between the plurality of target elements and the conversion Corresponding to multiple information elements in the information;

And a labeling unit, configured to adjust a display state of the plurality of target elements such that display states of the plurality of target elements are different from other image elements in the image.
The device according to claim 18, wherein the second obtaining unit is specifically configured to perform encryption processing on the user identifier by using a preset first encryption rule to obtain the conversion information.
The apparatus according to claim 18, wherein the fourth obtaining unit is specifically configured to acquire a plurality of image elements having the same interval in the image.
The apparatus according to claim 20, wherein the conversion information comprises N information elements, and N is a positive integer; wherein the fifth obtaining unit is specifically configured to:

Determining, according to the conversion information, a sorting sequence and a first target element, wherein the sorting sequence is a digital sequence comprising N digits, each digit in the digit sequence corresponding to each information element in the conversion information; Determining, according to the size of the first number in the sorting sequence, an image element whose size is the first digit of the first target element as a second target element; according to the second in the sorting sequence The size of the number determines the image element that is spaced from the second target element by the size of the second number as the third target element; and so on until N target elements are acquired.
The apparatus according to claim 21, wherein the conversion information is a sequence of numbers, and the fifth obtaining unit is further configured to perform at least one of the following operations,

The second encryption rule is a predetermined sorting manner, and the numbers in the digital sequence are sorted according to the predetermined sorting manner to obtain the sorting sequence; and

The second encryption rule is a predetermined magnification, and the numbers in the digital sequence are resized according to the predetermined magnification to obtain the sorting sequence.
An apparatus for image processing, comprising:

processor;

a memory coupled to the processor; storing, in the memory, a machine readable instruction unit; the machine readable instruction unit comprising:

a first acquiring unit, configured to acquire an image to be processed in response to the identification request for the image;

a second acquiring unit, configured to acquire a plurality of image elements in the image to be processed, and the arrangement manner of the plurality of image elements conforms to a predetermined arrangement rule;

a first determining unit, configured to determine, from the plurality of image elements, a plurality of target elements, wherein a display state of the plurality of target elements is different from a display state of other image elements in the image;

And a second determining unit, configured to determine, according to the multiple target elements, a user identifier corresponding to the image.
The apparatus according to claim 23, wherein the second obtaining unit is specifically configured to acquire a plurality of image elements having the same interval in the image to be processed.
The apparatus according to claim 23, wherein the first determining unit is specifically configured to use, as the target element, an image element different from at least one of a display specification and a display color among the plurality of image elements.
The apparatus of claim 23, wherein the second determining unit comprises:

a first determining module, configured to determine an order of the plurality of target elements; determining a spacing between two adjacent target elements in the sorting according to the sorting of the plurality of target elements;

a second determining module, configured to determine a sorting sequence of the plurality of target elements according to a spacing between the two adjacent target elements;

And a third determining module, configured to determine, according to the sorting sequence, a user identifier corresponding to the image.
The apparatus according to claim 26, wherein said sorting sequence is a sequence of numbers comprising N numbers, N is a positive integer; said second determining module is configured to:

Determining a first element in the sorting sequence according to a spacing between a first target element and a second target element;

Determining a second element in the sorting sequence according to a spacing between the second target element and the third target element;

And so on until the N numbers in the sorting sequence are obtained.
The apparatus according to claim 26, wherein said third determining module is configured to:

Converting the sorting sequence into conversion information according to a preset first decryption rule;

Converting the conversion information into the user identifier according to a preset second decryption rule.
A non-transitory computer readable storage medium, wherein the storage medium stores machine readable instructions, the machine readable instructions being executable by a processor to perform the method of any of claims 1-17 .