Badal Soni
ABSTRACT
Copy-move is a popular image tampering technique, where one or more regions of an image are copied and pasted into another portion of the same image with an objective to cover a conceivably important region or duplicate some regions. In this paper, a block-based blind technique for copy-move tampering detection is given by extracting Local Binary Pattern Histogram Fourier Features from each overlapping block. Proposed method is tested on benchmarking CoMoFoD dataset. Experimental results show that proposed method not only reduces the time complexity of tampering detection but also robust against different post-processing attacks such as blurring, brightness change, contrast adjustment etc.
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Digital Library
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Index Terms
- Copy-Move Tampering Detection based on Local Binary Pattern Histogram Fourier Feature
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