IMAGE PROCESSING, PATTERN RECOGNITION
A copy-move detection algorithm based on binary gradient contours
A. V. Kuznetsovab, V. V. Myasnikovab
a Samara State Aerospace University, Samara, Russia
b Image Processing Systems Institute, Russian Academy of Sciences, Samara, Russia
Copy-move is one of the most obvious ways of deliberate distortion of digital images in order to conceal the information contained in them. The process of duplicate embedding consists in copying an image fragment and pasting it within the same image. Prior to pasting, the fragment can be distorted using transformations such as contrast enhancement, noise adding, scaling, rotation, and combinations thereof. Existing approaches to copy-move forgery detection are based on calculating feature vectors for overlapping blocks of an image and then using these vectors to find the closest regions in Euclidean space. In this paper, we propose features based on binary gradient contours, which are resistant to contrast enhancement, additive noise and JPEG compression. We also present results of conducted experiments for demonstrating the proposed algorithm effectiveness for a range of distortion parameters. The
research also involves comparing features based on binary gradient contours with features based on various
forms of local binary patterns.
copy-move detection, distorted duplicate, local binary pattern, binary gradient contours, feature vector, k-d tree.
|Russian Science Foundation
|Russian Foundation for Basic Research
|Work on the creation of duplicate detection algorithm based on binary gradient contours obtained in the performance of work under the grant RNF ¹ 14-31-00014. The experimental results obtained in the framework of the work under the grant RFBR ¹ 16-37-00056- mol_a.
PDF file (755 kB)
A. V. Kuznetsov, V. V. Myasnikov, “A copy-move detection algorithm based on binary gradient contours”, Computer Optics, 40:2 (2016), 284–293
Citation in format AMSBIB
\by A.~V.~Kuznetsov, V.~V.~Myasnikov
\paper A copy-move detection algorithm based on binary gradient contours
\jour Computer Optics
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