Passive detection of paint-doctored JPEG images

Yu Qian Zhao, Frank Y. Shih, Yun Q. Shi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Image painting is an image doctoring method to remove particular objects. In this paper, a novel passive detection method for paint-doctored JPEG images is proposed when the doctored image is saved in an uncompressed format or in the JPEG compressed format. We detect the doctored region by computing the average of sum of absolute difference images between the doctored image and a resaved JPEG compressed image at different quality factors. There are several advantages of the proposed method: first, it can detect the doctored region accurately even if the doctored region is small in size; second, it can detect multiple doctored regions in the same image; third, it can detect the doctored region automatically and does not need any manual operation; finally, the computation is simple. Experimental results show that the proposed method can detect the paint-doctored regions efficiently and accurately.

Original languageEnglish (US)
Title of host publicationDigital Watermarking - 9th International Workshop, IWDW 2010, Revised Selected Papers
PublisherSpringer Verlag
Pages1-11
Number of pages11
ISBN (Print)9783642184048
DOIs
StatePublished - 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6526 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Image forensic
  • JPEG compression
  • Painted-doctored image
  • Sum of absolute difference

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