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IMAGE FORGERY: RESTORATION & SECURITY

Nikhila Chacko

Abstract


The problem of digital forgeries has become more and more serious in various fields like entertainment, digital forensics, and journalism. Due to the increasing amount of data in the world people uses public transfer medias like internet for storing and transferring data. Digital data can be transmitted    in a fast and inexpensive way through data communication networks without losing quality. So that most of us are use this way of communication. Malicious users or hackers can use this situation badly. Anyone with a clear  knowledge  in  computer can alter the images by accessing from internet. The revised photo as a forensic evidence will distort the truth of the case badly. Tampered pictures on the social network can have a negative impact on the parties as well. In order to ensure the authenticity and integrity of digital media, there arise a need      of security techniques. In this paper,  we are discussing about   the image restoration techniques from forgery and the security mechanisms to prevent images from further forgeries.


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References


Khizar Hayat , Tanzeela Qazi ,Forgery detection in digital images via discrete wavelet and discrete cosine transforms, Computers and Electrical Engineering (2017) 111

Mahdian B , Saic S . Blind methods for detecting image fakery. Aerosp Electr Syst Mag IEEE 2010;25(4):1824 .1)

Nikhilkumar P. Joglekar, Dr. P. N. Chatur, ”A Compressive Survey on Active and Passive Methods for Image Forgery Detection”.IJECS Volume 4 Issue 1 January, 2015

Zhang Z , Ren Y , Ping XJ , He ZY , Zhang SZ . ”A survey on passive-blind image forgery by doctor method detection.” In: Proc. Seventh International Conference on Machine Learning and Cybernetics (ICMLC), Kunming, China; 2008. p. 34637

Xuanjing Shen; Zenan Shi; Haipeng Chen,”Splicing image forgery de- tection using textural features based on the grey level co-occurrence matrices”, IET Image Processing Year: 2017, Volume: 11, Issue: 1

H. Huang, W. Guo and Zhang, Detection of copy-move forgery in digital images using SIFT algorithm, Pacific-Asia Workshop Computational Intelligence and Industrial Application, 2008.

Anuja Dixit and R. K. Gupta,”Copy-Move Image Forgery Detection a Review”,ijigsp.2016.06.04

C. Popescu and H. Farid, Exposing digital forgeries by detecting dupli- cated image regions, Tech. Rep. TR2004-515, Department of Computer Science, Dartmouth College, Hanover, United States, 2004.

W. Luo, J. Huang and G. Qiu, Robust detection of region-duplication forgery in digital image, in 18th International Conference on Pattern Recognition ICPR, 2006.

J. Fridrich, B. D. Soukal and A. J. Luk, Detection of copy-move forgery in digital images, in Digital Forensic Research Workshop, 2003.


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