Abstract
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 image's 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 image's 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. © 2008 IEEE.
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Zhang, Z., Ren, Y., Ping, X. I. J., He, Z. Y., & Zhang, S. Z. (2008). A survey on passive-blind image forgery by doctor method detection. In Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC (Vol. 6, pp. 3463–3467). https://doi.org/10.1109/ICMLC.2008.4621003
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