An Effective Image Copy-Move Forgery Detection Using Entropy Information

arXiv:2312.11793v2 Announce Type: replace
Abstract: Image forensics has become increasingly crucial in our daily lives. Among various types of forgeries, copy-move forgery detection has received considerable attention within the academic community. Keypoint-based algorithms, particularly those based on Scale Invariant Feature Transform, have achieved promising outcomes. However, most of keypoint detection algorithms failed to generate sufficient matches when tampered patches were occurred in smooth areas, leading to insufficient matches. Therefore, this paper introduces entropy images to determine the coordinates and scales …

abstract academic algorithms arxiv attention become community copy cs.cv cs.cy cs.mm daily detection entropy feature forensics forgery however image information keypoint detection scale type types