A survey on passive-blind image forgery by doctor method detection

With the huge increasing use of digital photography, and the advent of high-performance commodity hardware and the presence of low-cost image editing softwares over the past few years, finding a credible method to detect digital imagepsilas authenticity and getting the result that which method the t...

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Bibliographic Details
Published in2008 International Conference on Machine Learning and Cybernetics Vol. 6; pp. 3463 - 3467
Main Authors Zhen Zhang, Yuan Ren, Xi-Jian Ping, Zhi-Yong He, Shan-Zhong Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2008
Subjects
Digital forensics
digital image forgery
Digital images
Eigenvalues and eigenfunctions
Forgery
Image color analysis
Image edge detection
Machine learning
passive-blind image forgery
tempering detection
Transform coding
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ISBN1424420954
9781424420957
ISSN2160-133X
DOI10.1109/ICMLC.2008.4621003

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Summary:With the huge increasing use of digital photography, and the advent of high-performance commodity hardware and the presence of low-cost image editing softwares over the past few years, finding a credible method to detect digital imagepsilas authenticity and getting the result that which method the tampered image was applied to becomes a very valuable topic. In this paper, associating with the common forge methods, we propose the process of passive-blue detection of digital imagepsilas forging method, and then review the latest development of the passive-blind detection of image forging method, mainly include the detection of copy.move forgery, detection of blur forgery and detection of re-sample forgery.
ISBN:1424420954
9781424420957
ISSN:2160-133X
DOI:10.1109/ICMLC.2008.4621003