A DETAILED REVIEW OF COPY-MOVE FORGERY DETECTION IN DIGITAL IMAGE

Autor: S. Uma*1 & Dr. P. D. Sathya2
Rok vydání: 2019
Předmět:
DOI: 10.5281/zenodo.2537823
Popis: Today it became very hard to trust the digital photographs; these have to be verified for their originality. Recently a BBC News article says that “Eduardo Martins fooled journalists and picture editors by making slight alterations to the images, such as inverting them, just enough to elude software that scans pictures for plagiarism “. To address these issues, in this article we are going to discuss the image forensic concepts. Two Different techniques are used to create forgery in the digital image: Active and Passive approaches we have focussed image forensics technologies for copy-move forgery which comes under passive approach. Copy-move forgery is formed by copying the area from a particular image and hitting that area on same image to deceive the user. Copy Move forgery detection technique is grouped into two methods: Block based and Key Point based. In this paper, we have discussed the various block based and key point based copy move forgery detection techniques (CMFD).
Databáze: OpenAIRE