CN105046680A - Video image authentication PS (photoshop) processing analysis technique - Google Patents
Video image authentication PS (photoshop) processing analysis technique Download PDFInfo
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- CN105046680A CN105046680A CN201510093507.0A CN201510093507A CN105046680A CN 105046680 A CN105046680 A CN 105046680A CN 201510093507 A CN201510093507 A CN 201510093507A CN 105046680 A CN105046680 A CN 105046680A
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Abstract
The invention provides a video image authentication PS (photoshop) processing analysis technique, and belongs to a video image analysis technique. The video image authentication PS (photoshop) processing analysis technique is characterized by 1) knowing about the authenticity of a video image; 2) distinguishing whether the video image is processed through PS (photoshop); and 3) performing video image restoration analysis. The video image authentication PS (photoshop) processing analysis technique extracts the video image data and analyzes the video image data through a CCD data coupling device so as to find out the difference of each group of data about the video image continuity, wherein according to each group of data, the authenticity of the video image can be known and analyzed through the digital imaging principle. Moreover, the video image authentication PS (photoshop) processing analysis technique can distinguish whether the video image is processed through PS (photoshop), wherein the working principle is mainly established on the JPEG (Joint Photographic Experts Group) feature analysis technique.
Description
Technical field
Video image differentiates PS (photoshop) Treatment Analysis technology, belong to a kind of video image analysis technology, its feature is: 1), understand video image authenticity, 2), differentiate video image whether processed through PS (photoshop), 3), video image regression analysis.
Technical background
Video image identification analytical technology is derived from computer vision (CV, ComputerVision) technology.Computer vision technique is artificial intelligence (AI, ArtificialIntelligent) one of branch studied, it can set up mapping relations between image and iamge description, thus enables computing machine by Digital Image Processing and analyze the content understood in video pictures.And the intelligent video technology mentioned in video monitoring mainly refers to: automatic analysis and the key message extracted in video source.If video camera is regarded as the eyes of people, intelligent video system or equipment then can regard the brain of people as.Human face recognition, Car license recognition and behavioural analysis three technology are then the core technologies of intelligent video software.The treatment technology of video image is mainly used in each video image different field, the authenticity of image has different meanings for analysis, the present invention is by the Data Comparison of view data continuity, analyze video image whether through processing, for reduction with analyze scene itself and have and judge and foundation qualitatively.
Summary of the invention
Vedio data to be extracted by ccd data coupled apparatus and is analyzed by the present invention, finds out each group data difference of video image continuity, and each group data is by digital image-forming principle thus understand and analyze the authenticity of video image.
Whether differentiate video image to process through photoshop (PS), principle of work is mainly based upon on JPEG (JointPhotographicExpertsGroup) Signature Analysis Techique.Method of testing mainly contains 2 points, and whether first inspection JPEG (JointPhotographicExpertsGroup) picture is preserved through 2 times, and second it be detect JPEGJointPhotographicExpertsGroup) coding structure of picture.The JPEG picture coding of each digital camera (video image acquisition device) and compressibility coefficient all have difference, according to digital camera (video image acquisition device) model and coefficient data storehouse, photographic equipment can be told and can take by inspection picture.
Video image regression analysis method utilizes discontinuous cosine transformation approach DCT (DiscreteCosineTransform) to do dimensionality reduction, they are different with LDA (LinearDiscriminantAnalysis) from PCA (PrincipleComponentsAnalysis), and to be in what extract in DCT (DiscreteCosineTransform) method be that the low frequency part of image is as feature, and need not resemble PCA (PrincipleComponentsAnalysis) or LDA (LinearDiscriminantAnalysis) needs a lot of sample (sample) to calculate transposed matrix, but utilize single formula directly to each sample dimensionality reduction, after extracting feature (no matter being raw video or dimension reduction space), do identification and normally utilize nearest-neighbors method (Nearest-Neighbor), Eigenface and Fisherface all belongs to this mode.Mode utilizes backbone network method (NeuralNetwork) more fast, then coordinate the result of DCT as after feature, has good discrimination power at Yale and ORL face database.
Accompanying drawing explanation
Accompanying drawing 1, video image differentiates PS (photoshop) Treatment Analysis technology important document
Specific embodiments
The present invention is connected to data handling system by a scanner or digital image collection device, and data handling system draws analysis report according to raw video image date comprision, and analysis report is as the basis for estimation of the video image true and false.
Claims (4)
1. video image differentiates Ps Treatment Analysis technology, and its feature is: 1), understand video image authenticity, 2), whether differentiate video image through Ps process, 3), video image regression analysis.
Whether differentiate video image to process through photoshop (PS), principle of work is mainly based upon on JPEG (JointPhotographicExpertsGroup) Signature Analysis Techique.Method of testing mainly contains 2 points, whether first inspection JPEG (JointPhotographicExpertsGroup) picture is preserved through 2 times, and second it is the coding structure detecting JPEG (JointPhotographicExpertsGroup) picture.JPEG (JointPhotographicExpertsGroup) coding of graphics and the compressibility coefficient of each digital camera (video image acquisition device) all have difference, according to digital camera (video image acquisition device) model and coefficient data storehouse, photographic equipment can be told and can take by inspection picture.
Video image regression analysis method utilizes discontinuous cosine transformation approach DCT (DiscreteCosineTransform) to do dimensionality reduction, they are different with LDA (LinearDiscriminantAnalysis) from PCA (PrincipleComponentsAnalysis), and to be in what extract in DCT (DiscreteCosineTransform) method be that the low frequency part of image is as feature, and need not resemble PCA (PrincipleComponentsAnalysis) or LDA (LinearDiscriminantAnalysis) needs a lot of sample (sample) to calculate transposed matrix, but utilize single formula directly to each sample dimensionality reduction, after extracting feature (no matter being raw video or dimension reduction space), do identification and normally utilize nearest-neighbors method (Nearest-Neighbor), Eigenface and Fisherface all belongs to this mode.Mode utilizes backbone network method (NeuralNetwork) more fast, then coordinate the result of DCT as after feature, has good discrimination power at Yale and ORL face database.
2. according to claim 1, video image authenticity, mainly through digit synthesis analysis, CCD digital coupler part finds data difference contrast during digit synthesis, and the ratio of values of disparity is the authenticity Main Basis understanding video image.
3. according to claim 1, whether video image, through Ps process, is find out the successional digital different value of image, data drawn by analysis according to number analysis, the foundation providing resolution for whether image continuity is complete, thus whether differentiate video image through Ps process.
4. according to claim 1, video image regression analysis, the Continuity Analysis of video image digital imagery, can find out the data of image lack part, thus goes back the analyzing and processing of original image itself.
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| CN201510093507.0A CN105046680A (en) | 2015-03-03 | 2015-03-03 | Video image authentication PS (photoshop) processing analysis technique |
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| CN201510093507.0A CN105046680A (en) | 2015-03-03 | 2015-03-03 | Video image authentication PS (photoshop) processing analysis technique |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107679572A (en) * | 2017-09-29 | 2018-02-09 | 深圳大学 | A kind of image discriminating method, storage device and mobile terminal |
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| JP2014093639A (en) * | 2012-11-02 | 2014-05-19 | Canon Inc | Imaging device, control method for imaging device, image processing device, image processing method, image processing program, and storage medium |
| CN103839083A (en) * | 2014-02-25 | 2014-06-04 | 中山大学 | Method for detecting tampering operation of quantization tables of JPEG pictures |
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| JP2014093639A (en) * | 2012-11-02 | 2014-05-19 | Canon Inc | Imaging device, control method for imaging device, image processing device, image processing method, image processing program, and storage medium |
| CN103839083A (en) * | 2014-02-25 | 2014-06-04 | 中山大学 | Method for detecting tampering operation of quantization tables of JPEG pictures |
Non-Patent Citations (4)
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| ANDREW C. GALLAGHER: "Detection of Linear and Cubic Interpolation in JPEG Compressed Images", 《PROCEEDINGS OF THE 2ND CANADIAN CONFERENCE ON COMPUTER AND ROBOT VISION》 * |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107679572A (en) * | 2017-09-29 | 2018-02-09 | 深圳大学 | A kind of image discriminating method, storage device and mobile terminal |
| CN107679572B (en) * | 2017-09-29 | 2021-05-04 | 深圳大学 | Image distinguishing method, storage device and mobile terminal |
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Application publication date: 20151111 |