New feature and SVM based advanced classification of Computer Graphics and Photographic Images
노이즈 기반의 새로운 피쳐(feature)와 SVM에 기반한 개선된 CG(Computer Graphics) 및 PI(Photographic Images) 판별 방법

DooWon Jeong, Hyunji Chung, Ilyoung Hong, Sangjin Lee
2014 Journal of the Korea Institute of Information Security and Cryptology  
As modern computer graphics technology has been developed, it is hard to discriminate computer graphics from photographic images with the naked eye. Advances in graphics technology has brought a lot of convenience to human, it has side effects such as image forgery, malicious edit and fraudulent means. In order to cope with such problems, studies of various algorithms using a feature that represents a characteristic of an image has been processed. In this paper, we verify directly the existing
more » ... lgorithm, and provide new features based a noise that represents the characteristics of the computer graphics well. And this paper introduces the method of using SVM(Support Vector Machine) with features proposed in previous research to improve the discrimination accuracy.
doi:10.13089/jkiisc.2014.24.2.311 fatcat:v5iakccaqndjtnydn73i3z2qs4