Performance Evaluation of Forgery Detection of JPEG compression

Forensic

Now today’s Digital world Digital images have a very significant role in various fields like medical imaging, journalism, criminal and forensic investigations. but now a day’s the advent of image editing and processing tools it is conceivable to alter digital images very easily without leaving any obvious tampering traces. Thus, image forgery has become very easy and authenticity of digital images has been severely threatened. we are undoubtedly living in an age where we are exposed to a remarkable array of visual imagery. While we may have historically had confidence in the integrity of this imagery, today’s digital technology has begun to erode this trust. From the tabloid magazines to the fashion industry and in mainstream media outlets, scientific journals, political campaigns, courtrooms, and the photo hoaxes that land in our e-mail in-boxes, doctored photographs are appearing with a growing frequency and sophistication. Most common operations that are involved in the creation of forged images are contrast enhancement, copy-paste forgery, copy- create forgery etc. so in this survey paper some methods are represent forgery detection techniques. Paper includes a DCT compression for forge region detection, feature extraction and contrast enhancement and block matching method for forgery detection. Over the past five years, the field of digital forensics has emerged to help restore some trust to digital images

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