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

• Published in: 2008 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
• Language: English
• 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
• ISBN: 1424420954; 9781424420957
• ISSN: 2160-133X
• DOI: 10.1109/ICMLC.2008.4621003

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.