Digital Image Forgery Detection Based On SVD
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 12
Abstract
Due to availability of powerful photo editing software like Adobe Photoshop, 3DS Max, GIMP, Coral Paint Shop it is very simple to manipulate the digital images. As a result digital evidences have not yet been accepted in criminal investigations & court as a proof. In copy-move type of forgery some part of images is copied and pasted to conceal a person or object in the scene or sometimes to clone an object. In this paper, we use an improved algorithm based on Singular Value Decomposition (SVD) to detect this image forgery. In this method after applying image pre processing operations the image is divided in number of overlapping blocks. The SV features are extracted from each block. All these SV features are then lexicographically sorted so the blocks with similar feature come near to each other. By using Euclidean distance & Shift vector concept we can locate the copy move region in the image.
Authors and Affiliations
Ms. Aarti S. Deshpande, Ms. Ashwini S. Shinde
Keywords
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