• C.Rajalakshmi
• Dr.M.Germanus Alex
• Dr.R.Balasubramanian

When creating a forgery, a forger can modify an image using many different images editing process. In recent year, localization of forgery region has attracted more and more attention and many forensic methods have been proposed for identifying such image forensic operation. Up to now, most existing methods are designed for just forgery detection task but the most challenging task in digital image forensics is the localization of image forgery. In this paper, we proposed a new Convolution Newel Network (CNN) based method to locate the region of any type of forgery that made in an image. The extensive results show that the proposed method is a better alternative for recent forgery localization methods. Numerous experiments are conducted in the test images to prove the effectiveness and efficiency of the proposed method in detecting image forgery localization

Image forensic, Image processing, Convolution, localization, Neural network

"DEEP LEARNING APPROACH FOR LOCALIZING MANIPULATED IMAGE REGION USING CONVOLUTION NEURAL NETWORK ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.703-713, December-2018, Available :http://www.jetir.org/papers/JETIR1812998.pdf

"DEEP LEARNING APPROACH FOR LOCALIZING MANIPULATED IMAGE REGION USING CONVOLUTION NEURAL NETWORK ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp703-713, December-2018, Available at : http://www.jetir.org/papers/JETIR1812998.pdf