Detection of Copy-move Image Modification Using JPEG Compression Model

0483329 - ÚTIA 2019 RIV IE eng J - Journal Article
Novozámský, Adam - Šorel, Michal
Detection of Copy-move Image Modification Using JPEG Compression Model.
Forensic Science International. Roč. 283, č. 1 (2018), s. 47-57. ISSN 0379-0738. E-ISSN 1872-6283
R&D Projects: GA ČR(CZ) GA16-13830S; GA ČR GA15-16928S
Institutional support: RVO:67985556
Keywords : Copy-move modification * Forgery * Image tampering * Quantization constraint set
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 1.990, year: 2018
http://library.utia.cas.cz/separaty/2017/ZOI/novozamsky-0483329.pdf

The so-called copy-move forgery, based on copying an object and pasting in another location of the same image, is a common way to manipulate image content. In this paper, we address the problem of copy-move forgery detection in JPEG images. The main problem with JPEG compression is that the same pixels, after moving to a different position and storing in the JPEG format, have different values. The majority of existing algorithms is based on matching pairs of similar patches, which generates many false matches. In many cases they cannot be eliminated by postprocessing, causing the failure of detection. To overcome this problem, we derive a JPEG-based constraint that any pair of patches must satisfy to be considered a valid candidate and propose an efficient algorithm to verify the constraint. The constraint can be integrated into most existing methods. Experiments show significant improvement of detection, especially for difficult cases, such as small objects, objects covered by textureless areas and repeated patterns.
Permanent Link: http://hdl.handle.net/11104/0278697