Digital Image Splicing Using Edges

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Author(s): Jonathan Weir (Queen’s University Belfast, UK), Raymond Lau (Queen’s University Belfast, UK)and WeiQi Yan (Queen’s University Belfast, UK)
Copyright: 2012
Pages: 12
Source title: Crime Prevention Technologies and Applications for Advancing Criminal Investigation
Source Author(s)/Editor(s): Chang-Tsun Li (University of Warwick, UK)and Anthony T.S. Ho (University of Surrey, UK)
DOI: 10.4018/978-1-4666-1758-2.ch012

Keywords: Digital Crime & Forensics / Information Science Reference / IT Security and Ethics / Security & Forensics

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Abstract

In this paper, the authors splice together an image which has been split up on a piece of paper by using duplication detection. The nearest pieces are connected using edge searching and matching and the pieces that have graphics or textures are matched using the edge shape and intersection between the two near pieces. Thus, the initial step is to mark the direction of each piece and put the pieces that have straight edges to the initial position to determine the profile of the whole image. The other image pieces are then fixed into the corresponding position by using the edge information, i.e., shape, residual trace and matching, after duplication or sub-duplication detection. In the following steps, the patches with different edge shapes are searched using edge duplication detection. With the reduction of rest pieces, the montage procedure will become easier and faster.

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Digital Image Splicing Using Edges

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