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A Closure looks to Copy Move Forgery Detection Techniques for Digital Images


Author(s):

Diksha Sharma , LR College of Engineering and Technology, Solan (H.P); Gaurav Chouhan, LR College of Engineering and Technology

Keywords:

Copy-Move, DWT, DyWT, Image Forgery, Segmentation

Abstract:

In the past ten years, image forgery detection has been emerged as a remarkable research in applications of computer vision, digital image processing, biomedical technology, criminal investigation, image forensics, etc. It becomes more attractive and challenging when powerful software tools for image processing are so popular and sophisticated that we cannot confirm whether an image is manipulated by naked eyes. Image forgery detection is one kind of passive techniques using blind algorithms to detect traces of tampering in a given image without prior information or security codes. The images can be forged by splicing details from itself, which is called Copy-Move images, or from the other images called spliced images. In this paper a comprehensive review of different techniques of image forgery such as PCA, discrete wavelet transform, segmentation based CMFD etc. has been discussed.


Other Details:

Manuscript Id :IJSTEV2I12134
Published in :Volume : 2, Issue : 12
Publication Date: 01/07/2016
Page(s): 273-276
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