Abstract
Copy–move forgery is the most basic technique to alter an image. In this method, one region of an image is copied and pasted into another location of the same image, with an attempt to cover a potentially important feature or duplicate some features. As the copied part resides in the same image, its important properties, such as noise, brightness, texture, are compatible with rest of the image making its detection very difficult. The existing techniques for detecting copy–move forgery suffer from the computational time problem. In this paper, an efficient block-based copy–move forgery detection algorithm is present that reduces the processing time in identifying the duplicated regions in an image. Proposed method is tested on CoMoFoD dataset. Experimental results show the ability of the proposed method to accurately detect the tampered regions as well as reducing the time complexity.
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Soni, B., Das, P.K., Thounaojam, D.M. (2018). An Efficient Block Phase Correlation Approach for CMFD System. In: Pattnaik, P., Rautaray, S., Das, H., Nayak, J. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-7871-2_5
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DOI: https://doi.org/10.1007/978-981-10-7871-2_5
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