Image Copy-Move Tamper Detection Algorithm Based on Quaternion Polar Complex Exponential Transformation
In the face of Copy-Move tamper detection,post-tampering operations such as image compression,scaling,rotation,and noise addition can lead to a sharp decline in detection performance or even detection failure.This article proposes a tamper detection algorithm based on quaternion polar complex exponential transformation(QPCET)and improved PatchMatch.After overlapping and blocking the image to be tested,the quaternion polar complex exponential transform invariant of each block are calculated as the feature vectors of each block to form a feature matrix.The initial matching of feature vectors is completed through the improved PatchMatch algorithm,and then the erroneous matching blocks are removed through the random sampling consistency(RANSAC)algorithm.On this basis,morphological operations are used to process the marked area and ultimately determine the tampered area.The experimental simulation results show that this algorithm can effectively detect Copy-Move tampering in images.It also has good robustness to post-processing operations such as image rotation,scaling,noising,and JPEG compression.
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