A Review of Image Forgery Detection Technique Using Different Transform Function
Ashish Kumar Sharma1, Amit Mishra2, Shiv Kumar Sahu3
1Ashish Kumar Sharma, M-Tech Scholar, Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P.). India.
2Amit Mishra, Assistant Professor & Coordinator, Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P.). India.
3Dr. Shiv Kumar Sahu, Associate Professor & Head, Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P.). India.
Manuscript received on April 17, 2016. | Revised Manuscript received on April 24, 2016. | Manuscript published on April 25, 2016. | PP: 43-45 | Volume-4 Issue-4, April 2016. | Retrieval Number: D1097044416
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© The Authors. Published By: 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: Image forgery detection is very important tool in digital forensic. The forgery detection tool detect the forged image area or forged image in terms of fake image and duplicate image. For the detection of image forgery various methods are used such as pixel based operation and transform based operation. The pixel based operation used the matching and segmentation technique and the transform based technique used feature based image forgery detection. In this paper present the review of image forgery detection technique using different transform function. The transform based function is very efficient for the processing of image forgery detection.
Keywords: Image Forgery, Transform Function, Block Matching, Segmentation