CN117830071A - Image tampering detection and self-recovery method, device, equipment and storage medium - Google Patents

Abstract

The invention discloses an image tampering detection and self-recovery method, an image tampering detection and self-recovery device, image tampering detection equipment and a storage medium, and belongs to the technical field of image detection. The method comprises the steps of obtaining an image to be detected, and carrying out detection pretreatment on the image to be detected to obtain information of the image to be detected; detecting the image information to be detected to obtain an image detection result; if the image detection result is abnormal, analyzing the image detection result to obtain image falsification information; and performing data processing according to the image falsification information to obtain corresponding image restoration data, and automatically performing image restoration according to the image restoration data to obtain a falsified image. According to the invention, the image tampering information is obtained by performing tampering detection on the image to be detected, the image restoration data is obtained according to the image tampering information and the corresponding data processing operation, and the untampered image is finally restored, so that the accurate detection on the image tampering is realized, and the tampered image can be restored to an untampered state.

Description

Image tampering detection and self-recovery method, device, equipment and storage medium

Technical Field

The present invention relates to the field of image detection technology, and in particular to an image tampering detection and self-recovery method, device, equipment and storage medium.

Background technique

With the rapid development of image processing technology and the widespread use of image editing software such as Photoshop, the threshold for image tampering has been greatly lowered. Nowadays, ordinary people can easily tamper with images without professional technical knowledge. The popularity of social media has made the dissemination of images more convenient than ever before, but it has also provided a broad platform for image tampering. In order to attract attention, some people may tamper with pictures. Furthermore, some participants in commercial competition and political struggles may mislead the public by tampering with images in order to achieve their own interests. For example, they may tamper with product pictures to increase sales, or tamper with news pictures to shape or change public opinion.

Moreover, the current mainstream passive tampering detection technology is limited in that it only detects the tampered areas in the image, but does not provide an effective means to restore the tampered content. In view of this, there is an urgent need for a method to accurately detect the image tampering location and restore it, which can be used to detect whether the image has been tampered with and to restore the tampered image.

The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art.

Summary of the invention

The main purpose of the present invention is to provide an image tampering detection and self-recovery method, device, equipment and storage medium, aiming to solve the technical problems of the prior art in detecting whether an image has been tampered with and how to restore the tampered image.

To achieve the above object, the present invention provides an image tampering detection and self-recovery method, the method comprising the following steps:

Acquire an image to be detected, and perform detection preprocessing on the image to be detected to obtain information of the image to be detected;

Detecting the image information to be detected to obtain an image detection result;

If the image detection result is abnormal, analyzing the image detection result to obtain image tampering information;

Data processing is performed according to the image tampering information to obtain corresponding image restoration data, and image restoration is automatically performed according to the image restoration data to obtain an anti-tampering image.

Optionally, before acquiring the image to be detected and performing detection preprocessing on the image to be detected to obtain information of the image to be detected, the method further includes:

Extracting image information from the original image to obtain first valid bit plane information of the original image;

Acquire coding plane information and combine it with the first valid bit plane information to obtain verification information of the original image;

Acquire the restoration information of the original image according to the preset key data, and integrate it with the verification information of the original image to obtain the functional plane information of the original image;

The first valid bit plane information, the functional plane information and the coding plane information are sequentially integrated into the original image to obtain an anti-tampering image.

Optionally, the coding plane information is acquired and combined with the first valid bit plane information to obtain verification information of the original image, and the specific steps include:

Obtaining the coding plane information according to a preset image coding algorithm;

The check information of the original image is generated according to the first valid bit plane information and the coding plane information.

Optionally, obtaining an image to be detected and performing detection preprocessing on the image to be detected to obtain information of the image to be detected, the specific steps include:

Acquire an image to be detected, and split the image to be detected according to preset specifications to obtain a set of sub-images to be detected;

Extracting initial check bits from each sub-image to be detected in the sub-image set to obtain check information of the image to be detected;

The verification information of the image to be detected is integrated with the restoration information of the image to be detected to obtain the image information to be detected.

Optionally, the image information to be detected is detected to obtain an image detection result, and the specific steps include:

Obtaining comparison information of the image to be detected according to the image to be detected;

The verification information of the image to be detected is compared with the comparison information of the image to be detected to obtain an initial image detection result;

The initial image detection result is processed by morphological operation to obtain the image detection result.

Optionally, data processing is performed according to the image tampering information to obtain corresponding image restoration data, and image restoration is automatically performed according to the image restoration data to obtain an anti-tampering image. The specific steps include:

Determine the image tampering position information according to the image tampering information;

Perform image coding coefficient recovery based on the image tampering position information to obtain corresponding image restoration data;

The image tampering position is repaired using the image restoration data to obtain the tamper-proof image.

Optionally, image coding coefficients are restored based on the image tampering position information to obtain corresponding image restoration data, and the specific steps include:

Cleaning the image coding data according to the image tampering position information to obtain the image coding coefficient to be repaired;

The coding coefficients of the image to be repaired are restored based on a coding restoration algorithm to obtain corresponding image restoration data.

In addition, to achieve the above-mentioned purpose, the present invention also proposes an image tampering detection and self-recovery device, the image tampering detection and self-recovery device comprising:

Information extraction module: obtains the image to be detected, and performs detection preprocessing on the image to be detected to obtain the information of the image to be detected;

Detection and comparison module: detects the image information to be detected and obtains the image detection result;

Abnormal comparison module: if the image detection result is abnormal, the image detection result is analyzed to obtain image tampering information;

Image restoration module: performs data processing according to the image tampering information to obtain corresponding image restoration data, and automatically restores the image according to the image restoration data to obtain an anti-tampering image.

In addition, to achieve the above-mentioned objectives, the present invention also proposes an image tampering detection and self-recovery device, which includes: a memory, a processor, and an image tampering detection and self-recovery program stored on the memory and runnable on the processor, wherein the image tampering detection and self-recovery program is configured to implement the steps of the image tampering detection and self-recovery method described above.

In addition, to achieve the above-mentioned purpose, the present invention also proposes a computer-readable storage medium storing a computer program, wherein the storage medium stores an image tampering detection and self-recovery program, and when the image tampering detection and self-recovery program is executed by a processor, the steps of the image tampering detection and self-recovery method described above are implemented.

The present invention obtains the image to be detected, performs detection preprocessing on the image to be detected, obtains the image information to be detected; detects the image information to be detected, obtains the image detection result; if the image detection result is abnormal, analyzes the image detection result to obtain the image tampering information; performs data processing according to the image tampering information to obtain the corresponding image restoration data, and automatically restores the image according to the image restoration data to obtain the tamper-proof image. The present invention performs tampering detection on the image to be detected, thereby obtaining the image tampering information, and then obtains the image restoration data according to the image tampering information and the corresponding data processing operation, and finally restores the image that has not been tampered with, thereby realizing accurate detection of image tampering and restoring the tampered image to a state that has not been tampered with.

BRIEF DESCRIPTION OF THE DRAWINGS

1 is a schematic diagram of the structure of an image tampering detection and self-recovery device in a hardware operating environment according to an embodiment of the present invention;

FIG2 is a schematic diagram of a flow chart of a first embodiment of an image tampering detection and self-recovery method according to the present invention;

FIG3 is a flow chart of a second embodiment of the image tampering detection and self-recovery method of the present invention;

FIG4 is a flow chart of a third embodiment of the image tampering detection and self-recovery method of the present invention;

FIG5 is a flow chart of a fourth embodiment of the image tampering detection and self-recovery method of the present invention;

FIG. 6 is a structural block diagram of the first embodiment of the image tampering detection and self-recovery device of the present invention.

The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings.

Detailed ways

It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

Refer to FIG. 1 , which is a schematic diagram of the structure of an image tampering detection and self-recovery device in a hardware operating environment according to an embodiment of the present invention.

As shown in FIG1 , the image tampering detection and self-recovery device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

Those skilled in the art will appreciate that the structure shown in FIG. 1 does not constitute a limitation on the image tampering detection and self-recovery device, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

As shown in FIG. 1 , the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and an image tampering detection and self-recovery program.

In the image tampering detection and self-recovery device shown in Figure 1, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the image tampering detection and self-recovery device of the present invention can be set in the image tampering detection and self-recovery device, and the image tampering detection and self-recovery device calls the image tampering detection and self-recovery program stored in the memory 1005 through the processor 1001, and executes the image tampering detection and self-recovery method provided by the embodiment of the present invention.

An embodiment of the present invention provides an image tampering detection and self-recovery method. Referring to FIG. 2 , FIG. 2 is a flow chart of a first embodiment of an image tampering detection and self-recovery method of the present invention.

In this embodiment, the image tampering detection and self-recovery method includes the following steps:

Step S10: Acquire the image to be detected, and perform detection preprocessing on the image to be detected to obtain information of the image to be detected;

It should be noted that, in a specific implementation, the image to be detected actually refers to an anti-tampering image that may have been tampered with.

Step S20: Detect the image information to be detected to obtain an image detection result;

It should be noted that the specific function of the detection is to determine whether the image to be detected has been tampered with based on the image information to be detected. And when the image to be detected is determined to be tampered with, the image detection result obtained will include the specific tampering information of the tampered image.

Step S30: if the image detection result is abnormal, the image detection result is analyzed to obtain image tampering information;

It is understandable that if the image detection result is abnormal, it means that the image has been tampered with. At this time, the specific location information of the image tampered with can be obtained by analyzing the image detection result. In addition, if the image detection result is normal, it means that the image has not been tampered with.

It should also be noted that, in a specific implementation, the image detection result may also be normal, that is, the image has not been tampered with. In this case, it is only necessary to output the normal image detection result without performing image tampering recovery.

Step S40: performing data processing according to the image tampering information to obtain corresponding image restoration data, and automatically performing image restoration according to the image restoration data to obtain an anti-tampering image.

It should be noted that, in the specific implementation, the image restoration data specifically refers to the coding coefficients corresponding to the image when it has not been tampered with, and its specific generation process is: first use the multi-level tree set splitting coding algorithm to generate the coding plane corresponding to the image, and then perform matrix multiplication of the obtained coding plane with the preset key matrix to construct the corresponding linear equation group, where the result of the matrix multiplication of the linear equation group is the coding coefficient.

This embodiment obtains the image to be detected and performs detection preprocessing on the image to be detected to obtain the image information to be detected; detects the image information to be detected to obtain the image detection result; if the image detection result is abnormal, analyzes the image detection result to obtain the image tampering information; performs data processing according to the image tampering information to obtain the corresponding image restoration data, and automatically restores the image according to the image restoration data to obtain the tamper-proof image. This embodiment performs tampering detection on the image to be detected to obtain the image tampering information, and then obtains the image restoration data according to the image tampering information and the corresponding data processing operation, and finally restores the image that has not been tampered with, thereby realizing accurate detection of image tampering and restoring the tampered image to a state that has not been tampered with.

Refer to FIG. 3 , which is a flow chart of a second embodiment of an image tampering detection and self-recovery method according to the present invention.

Based on the first embodiment above, in this embodiment, before step S10, the following steps are further included:

Step S00: extracting image information from the original image to obtain the first valid bit plane information of the original image;

It should be noted that, in a specific implementation, the first significant bit plane information of the original image is the most significant bit plane information of the original image, which is obtained by extracting the most significant bit of each pixel in the original image to form the most significant bit plane. The most significant bit refers to the bit with the highest value in a binary number.

Step S01: Obtain coding plane information and combine it with the first valid bit plane information to obtain verification information of the original image;

It should be noted that the acquisition of the coding plane information is specifically achieved by generating the coding plane corresponding to the original image through a multi-level tree set splitting coding algorithm.

It should also be noted that in the specific implementation, the process of generating the check information of the original image is to first divide the coding plane of the original image and the most significant bit plane of the original image into image blocks of the same size, and then use the hash algorithm to generate corresponding check bits for each image block. All check bits constitute the check information of the original image. The hash algorithm refers to mapping a binary value string of any length to a binary value string of fixed length. The mapping rule is the hash algorithm, and the binary value string obtained after mapping the original data is the hash value.

Step S02: obtaining the restoration information of the original image according to the preset key data, and integrating it with the verification information of the original image to obtain the functional plane information of the original image;

It should be noted that the preset key data refers to a key matrix set by the user; the recovery information of the original image is specifically obtained by matrix multiplication of the key matrix and the coding plane, which can also be regarded as a process of constructing a set of linear equations; wherein the tampered coding information is an unknown variable and can be obtained by solving the set of linear equations.

Step S03: Integrate the first valid bit plane information, the function plane information and the coding plane information into the original image in sequence to obtain an anti-tampering image.

It can be understood that integrating the first valid bit plane information, functional plane information and coding plane information into the original image in sequence is essentially embedding the watermark into the original image to obtain a tamper-proof image. This method ensures that the original image is embedded with a secret watermark while having an effective detection and recovery mechanism.

This embodiment performs multiple information processing on the original image to obtain the first valid bit plane information, functional plane information and coding plane information of the original image, and then integrates these information into the original image in sequence, thereby realizing the embedding operation of the encrypted watermark on the original image, which improves the operational basis for subsequent image tampering detection and tampering recovery.

Furthermore, the coding plane information is obtained and combined with the first valid bit plane information to obtain verification information of the original image. The specific steps include: obtaining the coding plane information according to a preset image coding algorithm; and generating verification information of the original image according to the first valid bit plane information and the coding plane information.

It can be understood that the preset image coding algorithm specifically refers to a spatial image compression algorithm, and in a specific implementation, it may specifically refer to a multi-level tree set splitting coding algorithm.

Refer to FIG. 4 , which is a flow chart of a third embodiment of an image tampering detection and self-recovery method according to the present invention.

Based on the above first embodiment, in this embodiment, the specific steps of step S10 include:

Step S11: obtaining an image to be detected, and splitting the image to be detected according to preset specifications to obtain a set of sub-images to be detected;

It should be noted that the preset specifications are specifically the image block sizes set in advance by the user. When detecting an image to be detected, the image to be detected needs to be split into image blocks of preset specifications. These image blocks are the set of sub-images to be detected.

Step S12: extracting initial check bits from each sub-image to be detected in the sub-image set to obtain check information of the image to be detected;

It can be understood that in a specific implementation, the verification information of the image to be detected is specifically obtained by integrating the verification bit data corresponding to each image block in the set of sub-images to be detected. When performing image detection, the verification bit data corresponding to each image block will be compared one by one to determine whether the image has been tampered with and if the image has been tampered with, where the tampered location of the image is.

Step S13: Integrate the verification information of the image to be detected and the restoration information of the image to be detected to obtain the image information to be detected.

It should be noted that the restored information of the image to be detected is specifically used to restore the coded information lost due to tampering, that is, the coded information of the tampered part of the image can be restored through the restored information of the image to be detected.

In this embodiment, the image to be detected is first split into multiple sub-images to be detected, and then the check bit data corresponding to these sub-images to be detected are respectively extracted and integrated with the recovery information of the image to be detected to obtain the image information to be detected, which provides a comparison reference for subsequent image tampering detection.

Furthermore, the image information to be detected is detected to obtain an image detection result, and the specific steps include: obtaining comparison information of the image to be detected based on the image to be detected; traversing and comparing the verification information of the image to be detected with the comparison information of the image to be detected to obtain an initial image detection result; performing morphological operation processing on the initial image detection result to obtain an image detection result.

It can be understood that the comparison information of the image to be detected is generated by using a hash algorithm to generate corresponding comparison bit data for each image block obtained by division, and these comparison bit data are the comparison information of the image to be detected.

It should also be noted that the image detection results are obtained by further refining and enhancing the initial image detection results, that is, the image detection results will be more sensitive and accurate; morphological operation processing is a simple operation performed based on the image shape, which is generally an operation performed on a binary image, such as dilation, erosion, etc.

Refer to FIG. 5 , which is a flow chart of a fourth embodiment of an image tampering detection and self-recovery method according to the present invention.

Based on the above first embodiment, in this embodiment, the specific steps of step S40 include:

Step S41: determining image tampering position information according to the image tampering information;

It can be understood that in a specific implementation, which pixel blocks of the image have been tampered with can be determined based on the image tampering information, that is, the image tampering position information.

Step S42: restoring the image coding coefficients based on the image tampering position information to obtain image restoration data;

It should be noted that the image coding coefficient recovery is specifically implemented through the Gaussian elimination method. In the specific implementation, the tampered image coding coefficient is first regarded as an unknown to be solved, and then the key coefficient corresponding to the unknown to be solved is determined, and used as the coefficient of the linear equation system; the difference is then calculated according to the difference calculation formula as the constant term of the linear equation system; finally, the tampered coding coefficient is restored by accurately solving the linear equation system.

Step S43: Perform image repair on the image tampering position using the image restoration data to obtain an anti-tampering image.

It should be noted that, in a specific implementation, after all coding coefficients are restored, that is, image restoration data is obtained, the image can be accurately decoded using a multi-level tree set splitting decoding algorithm to restore the image to its state before tampering.

It should also be noted that, in a specific implementation, in order to improve the quality of image restoration, the image will be accurately reconstructed, that is, only the tampered area will be replaced, while the original data will be retained in the rest.

This embodiment first determines the specific location where the image has been tampered with, then recovers the image coding coefficients at the tampered location to obtain image restoration data, and then implements image repair at the tampered location to obtain an anti-tampering image.

Furthermore, image coding coefficients are restored based on the image tampering position information to obtain corresponding image restoration data. The specific steps include: cleaning the image coding data according to the image tampering position information to obtain the image coding coefficients to be repaired; restoring the image coding coefficients to be repaired based on a coding recovery algorithm to obtain image restoration data.

It should be noted that in the specific implementation, the image coding coefficient recovery process can be specifically as follows: first, for each column of the coding coefficient, the tampered part needs to be accurately removed, and only the coefficient that has not been tampered with is retained; then, the corresponding number of rows in the preset key is deleted accordingly, and the difference calculation is performed; finally, the unknown number, that is, the image coding coefficient to be restored, is accurately calculated using the theory of Gaussian elimination. The specific formula for the difference calculation is:

Where C_R_column is the recovered data with the tampered part deleted from a single column, C_K _S is the key matrix with the number of rows of tampered data deleted, and C_E_column is the untampered part of the single column encoding coefficient.

In addition, an embodiment of the present invention also proposes a computer-readable storage medium storing a computer program, wherein an image tampering detection and self-recovery program is stored on the storage medium, and when the image tampering detection and self-recovery program is executed by a processor, the steps of the image tampering detection and self-recovery method described above are implemented.

Since the storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought by the technical solutions of the above embodiments, which will not be described one by one here.

Refer to FIG. 6 , which is a structural block diagram of a first embodiment of an image tampering detection and self-recovery device according to the present invention.

As shown in FIG6 , the image tampering detection and self-recovery device proposed in the embodiment of the present invention includes:

Information extraction module 10: obtains the image to be detected, and performs detection preprocessing on the image to be detected to obtain information of the image to be detected;

Detection and comparison module 20: detects the image information to be detected and obtains the image detection result;

Anomaly comparison module 30: if the image detection result is abnormal, the image detection result is analyzed to obtain image tampering information;

Image restoration module 40: performs data processing according to the image tampering information to obtain image restoration data, and performs image restoration according to the image restoration data to obtain an anti-tampering image.

This embodiment obtains the image to be detected and performs detection preprocessing on the image to be detected to obtain the image information to be detected; detects the image information to be detected to obtain the image detection result; if the image detection result is abnormal, analyzes the image detection result to obtain the image tampering information; performs data processing according to the image tampering information to obtain the corresponding image restoration data, and automatically restores the image according to the image restoration data to obtain the tamper-proof image. This embodiment performs tampering detection on the image to be detected to obtain the image tampering information, and then obtains the image restoration data according to the image tampering information and the corresponding data processing operation, and finally restores the image that has not been tampered with, thereby realizing accurate detection of image tampering and restoring the tampered image to a state that has not been tampered with.

It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

In addition, for technical details not fully described in this embodiment, reference may be made to the image tampering detection and self-recovery method provided in any embodiment of the present invention, and will not be repeated here.

In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM)/RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims (10)

1. An image tamper detection and self-restoration method, comprising:

acquiring an image to be detected, and carrying out detection pretreatment on the image to be detected to obtain information of the image to be detected;

detecting the image information to be detected to obtain an image detection result;

if the image detection result is abnormal, analyzing the image detection result to obtain image falsification information;

and carrying out data processing according to the image falsification information to obtain corresponding image restoration data, and automatically carrying out image restoration according to the image restoration data to obtain a falsified image.

2. The method for detecting and recovering image tampering as defined in claim 1, wherein the steps of obtaining an image to be detected, and performing detection pretreatment on the image to be detected, and before obtaining the image information to be detected, further comprise:

extracting image information of an original image to obtain first effective bit plane information of the original image;

acquiring coding plane information and combining the first effective bit plane information to obtain verification information of an original image;

acquiring recovery information of the original image according to preset key data, and integrating the recovery information with verification information of the original image to obtain functional plane information of the original image;

and integrating the first effective bit plane information, the functional plane information and the coding plane information into the original image in sequence to obtain a tamper-proof image.

3. The method for detecting and recovering image tampering as defined in claim 2, wherein obtaining the encoded plane information and combining the first valid bit plane information to obtain the verification information of the original image comprises the specific steps of:

obtaining the coding plane information according to a preset image coding algorithm;

and generating verification information of the original image according to the first effective bit plane information and the coding plane information.

4. The method for detecting and recovering image tampering according to any one of claims 1-3, wherein the steps of obtaining an image to be detected, and performing detection pretreatment on the image to be detected to obtain information of the image to be detected comprise:

obtaining an image to be detected, and splitting the image to be detected according to a preset specification to obtain a sub-image set to be detected;

respectively extracting initial check bits of each sub-image to be detected in the sub-image set to be detected to obtain check information of the image to be detected;

and integrating the verification information of the image to be detected and the recovery information of the image to be detected to obtain the image information to be detected.

5. The method for detecting and recovering image tampering as defined in claim 1, wherein detecting the image information to be detected to obtain an image detection result comprises the specific steps of:

obtaining comparison information of the image to be detected according to the image to be detected;

performing traversal comparison on the verification information of the image to be detected and the comparison information of the image to be detected to obtain an initial image detection result;

and carrying out morphological operation processing on the initial image detection result to obtain the image detection result.

6. The method for detecting and recovering image tampering as defined in claim 5, wherein performing data processing according to said image tampering information to obtain corresponding image restoration data, and performing image restoration automatically according to said image restoration data to obtain a tamper-resistant image, comprising the specific steps of:

determining image tampering position information according to the image tampering information;

recovering the image coding coefficient based on the image tampering position information to obtain corresponding image restoration data;

and carrying out image restoration on the image tampering position through the image restoration data to obtain the tamper-proof image.

7. The method for detecting and recovering image tampering as defined in claim 6, wherein recovering image coding coefficients based on said image tampering location information to obtain corresponding image restoration data, comprising the steps of:

cleaning the image coding data according to the image tampering position information to obtain an image coding coefficient to be repaired;

and recovering the image coding coefficient to be recovered based on a coding recovery algorithm to obtain corresponding image recovery data.

8. An image tampering detection and self-recovery apparatus, comprising:

and the information extraction module is used for: acquiring an image to be detected, and carrying out detection pretreatment on the image to be detected to obtain information of the image to be detected;

detecting and comparing module: detecting the image information to be detected to obtain an image detection result;

and (5) comparing the abnormal modules: if the image detection result is abnormal, analyzing the image detection result to obtain image falsification information;

and an image restoration module: and carrying out data processing according to the image falsification information to obtain corresponding image restoration data, and automatically carrying out image restoration according to the image restoration data to obtain a falsified image.

9. An image tampering detection and self-recovery device, the image tampering detection and self-recovery device comprising: a memory, a processor, and an image tamper detection and self-restoration program stored on the memory and executable on the processor, the image tamper detection and self-restoration program configured to implement the image tamper detection and self-restoration method according to any one of claims 1 to 7.

10. A computer readable storage medium storing a computer program, wherein the computer program is capable of implementing the steps of the image tamper detection and self-recovery method according to any one of claims 1 to 7 when executed by a processor.