The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Copy-Move Forgery Detection Using DyWT
|
Author(s): Choudhary Shyam Prakash (Indian Institute of Technology, Department of Computer Science and Engineering, Dhanbad, India)and Sushila Maheshkar (Indian Institute of Technology, Department of Computer Science and Engineering, Dhanbad, India)
Copyright: 2017
Volume: 8
Issue: 2
Pages: 9
Source title:
International Journal of Multimedia Data Engineering and Management (IJMDEM)
Editor(s)-in-Chief: Chengcui Zhang (University of Alabama at Birmingham, USA)and Shu-Ching Chen (University of Missouri-Kansas City, United States)
DOI: 10.4018/IJMDEM.2017040101
Purchase
|
Abstract
In this paper, we proposed a passive method for copy-move region duplication detection using dyadic wavelet transform (DyWT). DyWT is better than discrete wavelet transform (DWT) for data analysis as it is shift invariant. Initially we decompose the input image into approximation (LL1) and detail (HH1) sub-bands. Then LL1 and HH1 sub-bands are divided into overlapping sub blocks and find the similarity between the blocks. In LL1 sub-band the copied and moved blocks have high similarity rate than the HH1 sub-band, this is just because, there is noise inconsistency in the moved blocks. Then we sort the LL1 sub-band blocks pair based on high similarity and in HH1 blocks are sorted based on high dissimilarity. Then we apply threshold to get the copied moved blocks. Here we also applied some post processing operations to check the robustness of our method and we get the satisfactory results to validate the copy move forgery detection.
Related Content
Yasasi Abeysinghe, Bhanuka Mahanama, Gavindya Jayawardena, Yasith Jayawardana, Mohan Sunkara, Andrew T. Duchowski, Vikas Ashok, Sampath Jayarathna.
© 2024.
20 pages.
|
Chengxuan Huang, Evan Brock, Dalei Wu, Yu Liang.
© 2023.
23 pages.
|
Duleep Rathgamage Don, Jonathan Boardman, Sudhashree Sayenju, Ramazan Aygun, Yifan Zhang, Bill Franks, Sereres Johnston, George Lee, Dan Sullivan, Girish Modgil.
© 2023.
17 pages.
|
Wei-An Teng, Su-Ling Yeh, Homer H. Chen.
© 2023.
17 pages.
|
Hemanth Gudaparthi, Prudhviraj Naidu, Nan Niu.
© 2022.
20 pages.
|
Anchen Sun, Yudong Tao, Mei-Ling Shyu, Angela Blizzard, William Andrew Rothenberg, Dainelys Garcia, Jason F. Jent.
© 2022.
19 pages.
|
Suvojit Acharjee, Sheli Sinha Chaudhuri.
© 2022.
16 pages.
|
|
|