Detecting Image Brush Editing Using the Discarded Coefficients and Intentions

TitleDetecting Image Brush Editing Using the Discarded Coefficients and Intentions
Publication TypeJournal Article
Year of Publication2019
AuthorsLopez, F., L. de-la-Fuente Valentín, and Í. S. M. de Mendivil
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueRegular Issue
Volume5
Number5
Date Published06/2019
Pagination15-21
Abstract

This paper describes a quick and simple method to detect brush editing in JPEG images. The novelty of the proposed method is based on detecting the discarded coefficients during the quantization of the image. Another novelty of this paper is the development of a subjective metric named intentions. The method directly analyzes the allegedly tampered image and generates a forgery mask indicating forgery evidence for each image block. The experiments show that our method works especially well in detecting brush strokes, and it works reasonably well with added captions and image splicing. However, the method is less effective detecting copy-moved and blurred regions. This means that our method can effectively contribute to implementing a complete imagetampering detection tool. The editing operations for which our method is less effective can be complemented with methods more adequate to detect them.

KeywordsBrush, Caption, Forgery, Image, Stroke
DOI10.9781/ijimai.2018.08.003
URLhttps://www.ijimai.org/journal/sites/default/files/files/2018/08/ijimai_5_5_2_pdf_18456.pdf
AttachmentSize
ijimai_5_5_2.pdf1.26 MB