Abstract
Today lots of software tools are available which are used to manipulate the images easily to change their originality. The technique which is usually used these days for tampering an image without leaving any microscopic evidence is copy-move forgery. There are many existing techniques to detect image tampering but their computational complexity is high. Here we present a robust and effective technique to find the tampered region. Initially the given image is divided into fixed size blocks and DCT is applied on each block for feature extraction. Circle is used to represent each transformed block with two feature vectors. In this way we reduce the dimension of the blocks to extract the feature vectors. Then lexicographical sort is applied to sort the extracted feature vectors. Matching algorithm is applied to detect the tampered regions. Results show that our algorithm is robust and has less computational complexity than the existing one.
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References
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Prakash, C.S., Maheshkar, S. (2017). Detection Algorithm for Copy-Move Forgery Based on Circle Block. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 460. Springer, Singapore. https://doi.org/10.1007/978-981-10-2107-7_32
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DOI: https://doi.org/10.1007/978-981-10-2107-7_32
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Online ISBN: 978-981-10-2107-7
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