Detecting non-aligned double JPEG compression based on refined intensity difference and calibration

Jianquan Yang, Guopu Zhu, Junlong Wang, Yun-Qing Shi

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

1 Scopus citations

Abstract

The detection of non-aligned double JPEG (NA-DJPEG) compression is one of the most important topics in the forensics of JPEG image. In this paper, we propose a novel feature set to detect NA-DJPEG compression based on refined intensity difference (RID), a new measure for blocking artifacts. Refined intensity difference is essentially intensity difference with compensation, which takes the negative effect of image texture into consideration when measuring blocking artifacts. The extraction pipeline of the proposed feature set mainly includes two steps. Firstly, two groups of RID histograms (totally sixteen histograms) with respect to horizontal and vertical directions are computed to describe the possible blocking artifacts in each row and column, and the bin values of these histograms are arranged to form an RID feature vector. Then, in order to make the RID feature vector less dependent on image texture and more discriminative, we calibrate it by a reference feature vector to generate a calibrated RID (C-RID) feature vector for final binary classification. Experiments have been conducted to validate the effectiveness of the C-RID feature set, and the results have shown that it outperforms the compared feature sets in most cases.

Original languageEnglish (US)
Title of host publicationDigital-Forensics and Watermarking - 12th International Workshop, IWDW 2013, Revised Selected Papers
PublisherSpringer Verlag
Pages169-179
Number of pages11
ISBN (Print)9783662438855
DOIs
StatePublished - Jan 1 2014
Event12th International Workshop on Digital-Forensics and Watermarking, IWDW 2013 - Auckland, New Zealand
Duration: Oct 1 2013Oct 4 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8389 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Workshop on Digital-Forensics and Watermarking, IWDW 2013
CountryNew Zealand
CityAuckland
Period10/1/1310/4/13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Blocking artifacts
  • Digital forensics
  • Double compression detection
  • Non-aligned grid

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