Detecting doubly compressed JPEG images by using mode based first digit features

Bin Li, Yun-Qing Shi, Jiwu Huang

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

129 Scopus citations

Abstract

In this paper, we utilize the probabilities of the first digits of quantized DCT (Discrete Cosine Transform) coefficients from individual AC (Alternate Current) modes to detect doubly compressed JPEG images. Our proposed features, named by Mode Based First Digit Features (MBFDF), have been shown to outperform all previous methods on discriminating doubly compressed JPEG images from singly compressed JPEG images. Furthermore, combining the MBFDF with a multi-class classification strategy can be exploited to identify the quality factor in the primary JPEG compression, thus successfully revealing the double JPEG compression history of a given JPEG image.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Pages730-735
Number of pages6
DOIs
StatePublished - Dec 31 2008
Event2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 - Cairns, QLD, Australia
Duration: Oct 8 2008Oct 10 2008

Other

Other2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Country/TerritoryAustralia
CityCairns, QLD
Period10/8/0810/10/08

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Detecting doubly compressed JPEG images by using mode based first digit features'. Together they form a unique fingerprint.

Cite this