Digital image forgery detection using JPEG features and local noise discrepancies.
Wide availability of image processing software makes counterfeiting become an easy and low-cost way to distort or conceal facts. Driven by great needs for valid forensic technique, many methods have been proposed to expose such forgeries. In this paper, we proposed an integrated algorithm which was...
| Publicado en: | Scientific World Journal pp. 230425 - 230426 |
|---|---|
| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2014
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103830456&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103830456 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 103830456 103830456 NLM24955389 2012628199 10.1155/2014/230425 NLM24955389 PMC3976819 103830456 ppf: 230425 ppct: 1 formats: tig: atl: Digital image forgery detection using JPEG features and local noise discrepancies. aug: au: Liu, Bo Pun, Chi-Man Yuan, Xiao-Chen affil: Department of Computer and Information Science, University of Macau, Macau, China. sug: subj: Algorithms Image Processing, Computer Assisted Methods Noise Software ab: Wide availability of image processing software makes counterfeiting become an easy and low-cost way to distort or conceal facts. Driven by great needs for valid forensic technique, many methods have been proposed to expose such forgeries. In this paper, we proposed an integrated algorithm which was able to detect two commonly used fraud practices: copy-move and splicing forgery in digital picture. To achieve this target, a special descriptor for each block was created combining the feature from JPEG block artificial grid with that from noise estimation. And forehand image quality assessment procedure reconciled these different features by setting proper weights. Experimental results showed that, compared to existing algorithms, our proposed method is effective on detecting both copy-move and splicing forgery regardless of JPEG compression ratio of the input image. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|