RUS  ENG JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Optics:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computer Optics, 2016, Volume 40, Issue 2, Pages 284–293 (Mi co143)  

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

Abstract: 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.

Keywords: copy-move detection, distorted duplicate, local binary pattern, binary gradient contours, feature vector, k-d tree.

Funding Agency Grant Number
Russian Science Foundation 14-31-00014
Russian Foundation for Basic Research 16-37-00056-_
Work on the creation of duplicate detection algorithm based on binary gradient contours obtained in the performance of work under the grant RNF 14-31-00014. The experimental results obtained in the framework of the work under the grant RFBR 16-37-00056- mol_a.


DOI: https://doi.org/10.18287/2412-6179-2016-40-2-284-293

Full text: PDF file (755 kB)
Full text: http://www.computeroptics.smr.ru/.../400220.html
References: PDF file   HTML file

Received: 19.02.2016
Revised: 14.03.2016

Citation: 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
\Bibitem{KuzMya16}
\by A.~V.~Kuznetsov, V.~V.~Myasnikov
\paper A copy-move detection algorithm based on binary gradient contours
\jour Computer Optics
\yr 2016
\vol 40
\issue 2
\pages 284--293
\mathnet{http://mi.mathnet.ru/co143}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-2-284-293}


Linking options:
  • http://mi.mathnet.ru/eng/co143
  • http://mi.mathnet.ru/eng/co/v40/i2/p284

    SHARE: VKontakte.ru FaceBook Twitter Mail.ru Livejournal Memori.ru


    Citing articles on Google Scholar: Russian citations, English citations
    Related articles on Google Scholar: Russian articles, English articles
  • Computer Optics
    Number of views:
    This page:137
    Full text:59
    References:15

     
    Contact us:
     Terms of Use  Registration  Logotypes © Steklov Mathematical Institute RAS, 2020