Distinguishing computer graphics from photographic images using local binary patterns

Zhaohong Li, Jingyu Ye, Yun-Qing Shi

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

21 Scopus citations

Abstract

With the ongoing development of rendering technology, computer graphics (CG) are sometimes so photorealistic that to distinguish them from photographic images (PG) by human eyes has become difficult. To this end, many methods have been developed for automatic CG and PG classification. In this paper, we explore the statistical difference of uniform gray-scale invariant local binary patterns (LBP) to distinguish CG from PG with the help of support vector machines (SVM). We select YCbCr as the color model. The original JPEG coefficients of Y and Cr components, and their prediction errors are used for LBP calculation. From each 2-D array, we obtain 59 LBP features. In total, four groups of 59 features are obtained from each image. The proposed features have been tested with thousands of CG and PG. Classification accuracy reaches 98.3% with SVM and outperforms the state-of-the-art works.

Original languageEnglish (US)
Title of host publicationDigital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers
Pages228-241
Number of pages14
DOIs
StatePublished - Sep 3 2013
Event11th International Workshop on Digital Forensics and Watermaking, IWDW 2012 - Shanghai, China
Duration: Oct 31 2012Nov 3 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7809 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th International Workshop on Digital Forensics and Watermaking, IWDW 2012
CountryChina
CityShanghai
Period10/31/1211/3/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Image forensics
  • computer graphics
  • image authentication
  • local binary patterns

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