CN111028135A - Image file restoration method - Google Patents
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- CN111028135A CN111028135A CN201911257605.8A CN201911257605A CN111028135A CN 111028135 A CN111028135 A CN 111028135A CN 201911257605 A CN201911257605 A CN 201911257605A CN 111028135 A CN111028135 A CN 111028135A
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000006378 damage Effects 0.000 claims abstract description 37
- 230000008439 repair process Effects 0.000 claims abstract description 19
- 241000700605 Viruses Species 0.000 claims description 15
- 238000005215 recombination Methods 0.000 claims description 3
- 230000006798 recombination Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 4
- 238000011084 recovery Methods 0.000 description 4
- 230000006835 compression Effects 0.000 description 2
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- 230000000694 effects Effects 0.000 description 2
- 230000002427 irreversible effect Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001066 destructive effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/60—Memory management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/77—Retouching; Inpainting; Scratch removal
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention discloses an image file restoration method, which comprises the following steps: acquiring damage information of the image file; selecting a sample file according to the damage information; and extracting an offset code corresponding to the damaged information in the sample file, and performing code repair on the image file according to the offset code. Selecting a sample file according to the damage information; and extracting an offset code corresponding to the damaged information in the sample file, and performing code restoration on the image file according to the offset code, thereby realizing restoration of the image file.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to an image file restoration method.
Background
The JPG format JPEG coded graphic file is a lossy compressed graphic format file with a wider application range at present, redundant images and color data are removed in a lossy compression mode in the file format, extremely high compression ratio can be obtained, simultaneously abundant and vivid images can be displayed, and better picture quality can be obtained by using less disk space. At present, the format file is mainly applied to the fields of buildings, networks, digital media, judicial evidence obtaining and the like, and is mainly stored in a computer storage medium as application modes of graphic electronic evidence, website graphic elements, daily life souvenirs and the like. However, in daily life and work, the storage medium is damaged, and when the file is damaged by virus damage and the irreversible damage to the storage medium is caused, the important sector codes of the head of the JPG format file cannot be completely read due to the problems of bad sectors and bad blocks of the storage medium. Therefore, the JPG format file can not be opened completely, or the picture after being opened has disordered pixel blocks and can not form a normal image, important graphic information in the file can not be identified and used, and a common JPG format repairing tool in the market is completely ineffective against the problem.
Disclosure of Invention
In view of the above-mentioned defects of the prior art, the present invention provides an image file restoration method, which realizes the restoration of an image file.
The object of the invention is achieved by the technical scheme that the image file repairing method comprises the following steps:
acquiring damage information of the image file;
selecting a sample file according to the damage information;
and extracting an offset code corresponding to the damaged information in the sample file, and performing code repair on the image file according to the offset code.
Optionally, the obtaining of the damage information of the image file includes:
acquiring the destruction characteristics of the virus, and determining the fixed zero clearing or encryption destruction sector and the offset address of the virus to the image file according to the destruction characteristics; alternatively, the first and second electrodes may be,
when the storage medium is damaged, determining a sector and an offset address of virus for fixed zero clearing or encryption damage of the image file according to a 16-system mirror image log of the storage medium;
wherein the offset address comprises a start address and an end address of the offset address.
Optionally, selecting a sample file according to the damage information includes:
determining equipment information used for shooting the image file according to the naming feature of the image file;
and selecting a plurality of sample files with the similar occupation sizes to the image files based on the equipment information.
Optionally, extracting an offset code corresponding to the damage information in the sample file includes:
determining an offset address and an image start mark according to the Huffman tables of the image file and the sample file;
and selecting a repair sample from a plurality of sample files according to the offset address and the image start mark.
Optionally, performing code restoration on the image file according to the offset code, including:
and extracting codes of corresponding offset addresses and lengths in the repair file and filling the codes into corresponding offset addresses in the image file.
Optionally, after the code recovery is performed on the image file according to the offset code, the method further includes:
and performing image restoration on the image file subjected to code restoration through image processing software.
Optionally, the image restoration of the image file after the code restoration is performed by using image processing software, including:
according to the pixel information of the repaired image file, carrying out sequence recombination on the repaired image file to finish repairing;
the pixel information comprises pixel arrangement, picture RGB and channel missing condition.
Due to the adoption of the technical scheme, the invention has the following advantages: selecting a sample file according to the damage information; and extracting an offset code corresponding to the damaged information in the sample file, and performing code restoration on the image file according to the offset code, thereby realizing restoration of the image file.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
The drawings of the invention are illustrated as follows:
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The invention is further illustrated by the following figures and examples.
Examples
The embodiment of the invention provides an image file restoration method, which comprises the following steps:
acquiring damage information of the image file;
selecting a sample file according to the damage information;
and extracting an offset code corresponding to the damaged information in the sample file, and performing code repair on the image file according to the offset code.
Selecting a sample file according to the damage information; and extracting an offset code corresponding to the damaged information in the sample file, and performing code restoration on the image file according to the offset code, thereby realizing restoration of the image file.
Optionally, the obtaining of the damage information of the image file includes:
acquiring the destruction characteristics of the virus, and determining the fixed zero clearing or encryption destruction sector and the offset address of the virus to the image file according to the destruction characteristics; alternatively, the first and second electrodes may be,
when the storage medium is damaged, determining a sector and an offset address of virus for fixed zero clearing or encryption damage of the image file according to a 16-system mirror image log of the storage medium;
wherein the offset address comprises a start address and an end address of the offset address.
Since a malicious virus often fixes and clears or encrypts 16-system code within a fixed range of a header, in the embodiment, first, by analyzing the destructive characteristics of the virus, the start and end addresses of a sector and an offset address of the file fixed and cleared or encrypted and damaged by the virus are determined.
When the storage medium is damaged, the log file of the 16-system mirror image of the storage medium is analyzed to determine the sector address and the number of sectors which cannot be read due to bad sectors and bad blocks of the storage medium in the damaged JPG format file storage logical address range.
Optionally, selecting a sample file according to the damage information includes:
determining equipment information used for shooting the image file according to the naming feature of the image file;
and selecting a plurality of sample files with the similar occupation sizes to the image files based on the equipment information.
Specifically, because the key code of the damaged image file is missing, the information such as the shooting camera, resolution, DPI, height, width, etc. of the file cannot be determined through the file attribute, and the matched repair code sample file cannot be found through the thumbnail, so the device used for determining the photo presumably according to the naming feature of the damaged file is also proposed in this embodiment, for example: after the DSC + number is basically the picture shot by the Sony camera and the DSC _ + number is basically the picture shot by the Nikon camera, and the information is determined, the sample file which is in accordance with the same size of the named file features or is as close as possible to the named file features can be searched according to the occupied size of the damaged image file.
Optionally, extracting an offset code corresponding to the damage information in the sample file includes:
determining an offset address and an image start mark according to the Huffman tables of the image file and the sample file;
and selecting a repair sample from a plurality of sample files according to the offset address and the image start mark.
Further, in this embodiment, after selecting a plurality of sample files by the device information and the like, the damaged JPG format file and the selected sample file are opened by using 16-ary editing software to determine a repair sample, including the following steps:
firstly, searching a damaged file 0 XFCF 4 code to determine and record an offset address of a first Huffman table (Difine Huffman Table), and if the offset address is greater than 0XFFF, indicating that the first Huffman table is missing. The JPG format file generation device information and generation time are recorded in the 512-byte range of the previous sector of the first Huffman table, and if the JPG format file generation device information and generation time are not damaged, the adaptive sample file can be found according to the information.
And further searching offset address positions of the second and third Huffman tables, and synchronously searching and recording offset addresses of the three Huffman tables of the selected sample file.
The damaged file 0XFFC0 is searched again to determine three Image start marks (Star of Image) and record offset addresses, and the three Image start marks of the selected sample file are searched synchronously and the offset addresses are recorded. And after obtaining the damaged file, the Huffman table of the sample file and the image start mark, carrying out offset address, and if the first Huffman table is not damaged and the damaged file and the first Huffman table of the sample file have one offset address, adapting the sample file and taking the sample file as an extracted sample for code repair.
If the first Huffman table is damaged, the second Huffman table, the third Huffman table and the image start mark offset address need to be compared, and sample files with approximate offset addresses are selected as extraction samples for code repair as much as possible.
According to the steps, the repairing sample can be selected accurately, so that the repairing effect is improved.
Optionally, performing code restoration on the image file according to the offset code, including:
and extracting codes of corresponding offset addresses and lengths in the repair file and filling the codes into corresponding offset addresses in the image file.
Specifically, in this embodiment, after the repair sample extracted by code repair is determined, the code having the same offset address and length in the repair sample file is extracted and filled in the offset address corresponding to the destroyed JPG format image file according to the virus destruction feature analysis result and the 16-system mirror image log information in the storage medium.
Optionally, after the code recovery is performed on the image file according to the offset code, the method further includes:
and performing image restoration on the image file subjected to code restoration through image processing software.
Optionally, the image restoration of the image file after the code restoration is performed by using image processing software, including:
according to the pixel information of the repaired image file, carrying out sequence recombination on the repaired image file to finish repairing;
the pixel information comprises pixel arrangement, picture RGB and channel missing condition.
Specifically, in this embodiment, after the code recovery step is completed, the damaged JPG file can be opened normally, but due to the difference between the number of color components recorded by the image start mark code, the vertical direction sample factor, the horizontal direction sample factor, the quantization table number, and the like, and the difference between the detailed information of the image table stream recorded by the huffman table, the file after code recovery has problems of image misalignment, color missing, brightness, and the like.
Therefore, in this embodiment, the file after code restoration may be further opened by image processing software, such as PHOTOSHOP, and the conditions of file pixel arrangement, picture RGB, and channel loss are determined, the picture sequence is recombined according to the foregoing conditions, then the picture sequence is cut and spliced into a complete image, the picture RGB and channel loss elements are further supplemented, and finally the restored image is exported as a JPG format file by the PHOTOSHOP software to complete the JPG format file restoration work.
In conclusion, the method of the invention determines the specific damaged sector or offset address of the file by using WINHEX or other 16-system editing software, copies the same type of sample file and 16-system codes with the same sector or the same offset address and fills the same damaged sector or offset address with the 16-system codes to complete 16-system repair of the file. And then utilizing PHOTOSOP software to cut, recombine and supplement RGB and channels for the graph dislocation and RGB channel color shortage of the file caused by the code video so as to realize the purpose of repairing the JPG format file.
The method of the invention is based on the 16-system code format of the bottom file format of the JPG format file to repair the damaged JPG format file. The repaired files can be effectively repaired and recombined according to different sizes and different damage modes of the files, so that important image information in the files can be restored, the image files with irreversible damage to the files caused by damage of storage media and virus damage can be repaired through actual measurement, and the repaired effect is clear.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered thereby.
Claims (7)
1. An image file restoration method, characterized by comprising:
acquiring damage information of the image file;
selecting a sample file according to the damage information;
and extracting an offset code corresponding to the damaged information in the sample file, and performing code repair on the image file according to the offset code.
2. The method of claim 1, wherein obtaining corruption information for an image file comprises:
acquiring the destruction characteristics of the virus, and determining the fixed zero clearing or encryption destruction sector and the offset address of the virus to the image file according to the destruction characteristics; alternatively, the first and second electrodes may be,
when the storage medium is damaged, determining a sector and an offset address of virus for fixed zero clearing or encryption damage of the image file according to a 16-system mirror image log of the storage medium;
wherein the offset address comprises a start address and an end address of the offset address.
3. The method of claim 2, wherein selecting a sample file based on the damage information comprises:
determining equipment information used for shooting the image file according to the naming feature of the image file;
and selecting a plurality of sample files with the similar occupation sizes to the image files based on the equipment information.
4. The method of claim 2, wherein extracting an offset code in the sample file corresponding to the corruption information comprises:
determining an offset address and an image start mark according to the Huffman tables of the image file and the sample file;
and selecting a repair sample from a plurality of sample files according to the offset address and the image start mark.
5. The method of claim 4, wherein code repairing the image file according to the offset code comprises:
and extracting codes of corresponding offset addresses and lengths in the repair file and filling the codes into corresponding offset addresses in the image file.
6. The method of claim 5, wherein after code repairing the image file according to the offset code, the method further comprises:
and performing image restoration on the image file subjected to code restoration through image processing software.
7. The method of claim 6, wherein image repairing the code repaired image file by a graphics processing software, comprises:
according to the pixel information of the repaired image file, carrying out sequence recombination on the repaired image file to finish repairing;
the pixel information comprises pixel arrangement, picture RGB and channel missing condition.
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