A Review on Block-Key Point Based Copy Move Forgery Detection
Monisha Mohan1, Preetha V.H2
1Monisha Mohan, M.Tech Student, Department of Electronics and Communication Engineering, Sree Chitra Thirunal College of Engineering, Trivandrum (Kerala), India.
2Preetha V. H, Assistant Professor, Department of Electronics and Communication Engineering, Sree Chitra Thirunal college of Engineering, Trivandrum (Kerala), India.
Manuscript received on 13 April 2017 | Revised Manuscript received on 20 April 2017 | Manuscript Published on 30 April 2017 | PP: 254-257 | Volume-6 Issue-4, April 2017 | Retrieval Number: D4978046417/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Copy move forgery is a region duplication forgery in which a part of a digital image is copied and pasted within the same image. Many algorithms have been developed for detecting the copy move forgery. Copy move forgery is mainly classified into two types which is block based and keypoint based. The block based method includes PCA, DCT, DWT etc and key point based method includes SIFT and SURF. This paper will include a detail study of different image forgery detection techniques, different tampering techniques and a detailed study of different block based and keypoint based method.
Keywords: Copy Move Forgery, DCT, DWT, SIFT, SURF
Scope of the Article: IoT