CN105046680A - Video image authentication PS (photoshop) processing analysis technique - Google Patents
Video image authentication PS (photoshop) processing analysis technique Download PDFInfo
- Publication number
- 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
- Authority
- CN
- China
- Prior art keywords
- video image
- photoshop
- analysis
- image
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 title claims abstract description 8
- 239000000284 extract Substances 0.000 claims abstract description 3
- 238000005516 engineering process Methods 0.000 claims description 11
- 238000000611 regression analysis Methods 0.000 claims description 5
- 238000007689 inspection Methods 0.000 claims description 4
- 238000013459 approach Methods 0.000 claims description 2
- 238000013528 artificial neural network Methods 0.000 claims description 2
- 239000011159 matrix material Substances 0.000 claims description 2
- 238000010998 test method Methods 0.000 claims description 2
- 230000009466 transformation Effects 0.000 claims description 2
- 230000015572 biosynthetic process Effects 0.000 claims 2
- 238000003786 synthesis reaction Methods 0.000 claims 2
- 238000010191 image analysis Methods 0.000 abstract description 2
- 230000008878 coupling Effects 0.000 abstract 1
- 238000010168 coupling process Methods 0.000 abstract 1
- 238000005859 coupling reaction Methods 0.000 abstract 1
- 238000003384 imaging method Methods 0.000 abstract 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Landscapes
- Image Analysis (AREA)
- Image Processing (AREA)
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510093507.0A CN105046680A (en) | 2015-03-03 | 2015-03-03 | Video image authentication PS (photoshop) processing analysis technique |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510093507.0A CN105046680A (en) | 2015-03-03 | 2015-03-03 | Video image authentication PS (photoshop) processing analysis technique |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105046680A true CN105046680A (en) | 2015-11-11 |
Family
ID=54453198
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510093507.0A Pending CN105046680A (en) | 2015-03-03 | 2015-03-03 | Video image authentication PS (photoshop) processing analysis technique |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105046680A (en) |
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 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
-
2015
- 2015-03-03 CN CN201510093507.0A patent/CN105046680A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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)
| Title |
|---|
| ANDREW C. GALLAGHER: "Detection of Linear and Cubic Interpolation in JPEG Compressed Images", 《PROCEEDINGS OF THE 2ND CANADIAN CONFERENCE ON COMPUTER AND ROBOT VISION》 * |
| FARID HANY: "Creating and detecting doctored and virtual image：implications to the child pornography prevention act", 《HANOVER：DEPARTMENT OF COMPUTER SCIENCE AND CENTER FOR COGNITIVE NEUROSCIENCE，DARTMOUTH COLLEGE》 * |
| 吴惬惬 等: "一起通过利用Photoshop辨别印章真伪的检验", 《湖南公安高等专科学校学报》 * |
| 张文达: "利用PS 软件对添加、删减、篡改图像的鉴别", 《科技咨询》 * |
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 | An image discrimination method, storage device and mobile terminal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9351683B2 (en) | Wrinkle detection method, wrinkle detection device and recording medium storing wrinkle detection program, as well as wrinkle evaluation method, wrinkle evaluation device and recording medium storing wrinkle evaluation program | |
| CN101271514B (en) | Image detection method and device for fast object detection and objective output | |
| US9646358B2 (en) | Methods for scene based video watermarking and devices thereof | |
| Ardizzone et al. | Copy-move forgery detection via texture description | |
| CN102413328B (en) | Double compression detection method and system of joint photographic experts group (JPEG) image | |
| CN115578523B (en) | Tongue three-dimensional modeling method and system for multi-angle image fusion | |
| CN110363087B (en) | Long-baseline binocular face in-vivo detection method and system | |
| CN103839255B (en) | Video keying altering detecting method and device | |
| CN102663375B (en) | Active Target Recognition Method Based on Digital Watermarking Technology in H.264 | |
| CN109178831B (en) | A kind of belt conveyor longitudinal tear detection method | |
| CN102708383A (en) | System and method for detecting living face with multi-mode contrast function | |
| CN107609515B (en) | A dual verification face comparison system and method based on Feiteng platform | |
| WO2017000880A1 (en) | Information processing method, information processing device and video monitoring system | |
| CN106991448A (en) | A kind of portrait compares processing method | |
| CN110096945A (en) | Indoor Video key frame of video real time extracting method based on machine learning | |
| CN103544692A (en) | Blind detection method for tamper with double-compressed JPEG (joint photographic experts group) images on basis of statistical judgment | |
| JP2013211834A (en) | Image processing device and method therefor | |
| KR102150661B1 (en) | Method and Apparatus for Preprocessing Image for Detecting Objects | |
| CN105046680A (en) | Video image authentication PS (photoshop) processing analysis technique | |
| Madake et al. | Image tampering detection using error level analysis and metadata analysis | |
| CN109543593A (en) | Detection method, electronic equipment and the computer readable storage medium of replay attack | |
| TWI569766B (en) | A method for predicting saliva image recognition in female ovulation | |
| CN104615985B (en) | A kind of recognition methods of human face similarity degree | |
| KR101311309B1 (en) | Detecting method of image operation and detecting device of image operation | |
| Cozzolino et al. | A comparative analysis of forgery detection algorithms |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20151111 |