Year: 2022 | Month: June | Volume 8 | Issue 1

A Review on Copy-move Forgery Detection

DOI:10.30954/2454-4132.1.2022.26

Abstract:

The digital images are becoming a concrete information source with the vast improvements in imaging technologies. So, it is necessary to maintain the originality and reliability of digital images which is challenging because of the advent of easy and extremely powerful and sophisticated digital image processing tools that can maliciously alter, manipulate and tamper digital images without leaving behind any noticeable sign. One of the effective way of identifying the manipulated image region known as copy-move forgery detection that recognizes the tampered region. It is performed by copying a region of the image and pasted on another region of the image in order to hide unwanted area of the image or replicate some area of the image. This paper, presents a review of various techniques of forgery detection in view of block based, keypoint based and hybrid based.





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