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Pattern Recognition and Image Analysis

, Volume 26, Issue 4, pp 720–725 | Cite as

Detecting computer generated images based on local ternary count

Representation, Processing, Analysis, and Understanding of Images

Abstract

Local binary patterns was used to distinguish the Photorealistic Computer Graphics and Photographic Images, however the dimension of the extracted features is too high. Accordingly, the Local Ternary Count based on the Local Ternary Patterns and the Local Binary Count was developed in this study. Furthermore, a novel algorithm is presented based on the Local Ternary Count to classify photorealistic Computer Graphics and Photographic images. The experiment results show that the proposed algorithm effectively reduces the dimension of the classification features and maintains a good classification performance.

Keywords

passive forensics photographic images photorealistic computer graphics local ternary count support vector machine 

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Copyright information

© Pleiades Publishing, Ltd. 2016

Authors and Affiliations

  1. 1.College of Computer Science and TechnologyJilin University, ChangchunJilinChina
  2. 2.Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of EducationJilin University, ChangchunJilinChina

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