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Physics-Motivated Features for Distinguishing Photographic Images and Computer Graphics

Date

Authors

Ng, Tian-Tsong

Chang, Shih-Fu

Hsu, Jessie

Xie, Lexing

Tsui, Mao-Pei

Publisher

Association for Computing Machinery Inc (ACM)

Abstract

The increasing photorealism for computer graphics has made computer graphics a convincing form of image forgery. Therefore, classifying photographic images and photorealistic computer graphics has become an important problem for image forgery detection. I

Keywords

Keywords: Benchmark datasets; Classification accuracy; Differential geometry; Image forensics; Image forgery detections; Natural image statistics; Photographic image; Steganalysis; Fractals; Geometry; Imaging systems; Photography; Steganography; Computer graphics Computer graphics; Differential geometry; Fractal; Image forensics; Natural image statistics; Steganalysis

URI

http://hdl.handle.net/1885/58085

Collections

ANU Research Publications

Source

Proceedings of the ACM International Workshop on Multimedia Databases 2005

Type

Conference paper

DOI

10.1145/1101149.1101192

Restricted until

2037-12-31

Downloads

File

Description

01_Ng_Physics-Motivated_Features_for_2005.pdf (1.74 MB)