He has been the Principal Investigator for several internal/external funded research projects and published more than 150 refereed scientific papers in international journals, books and conference proceedings. He is currently an Associate Professor at the Department of Computer and Information Science of the University of Macau. degree in Computer Science and Engineering from the Chinese University of Hong Kong in 2002. degrees in Software Engineering from the University of Macau in 19 respectively, and Ph.D. Navigate Left Previous article in issueĬhi-Man Pun received his B.Sc.The experimental results show the proposed detection method achieves real-time or near real-time effectiveness at the same time, it can achieve very good detection results compared with the state-of-the-art copy-move forgery detection algorithms, even under various challenging conditions. In the end, from the stable feature correspondences, the copy-move forgery regions are easily detected using the local bidirectional coherency error of each feature. When the variation in the local bidirectional coherency error of the host image is not larger than a specified threshold, the iterative process stops, indicating that the feature correspondences are stable. Then, a local bidirectional coherency error is proposed to refine the feature correspondences via iteration over the enhanced coherency sensitive search. We firstly adapt and enhance a coherency sensitive hashing method to establish the feature correspondences in an image. In this paper, we present an algorithm that can accurately and robustly detect regions of copy-move forgery.

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