TY - GEN
T1 - Identifying computer graphics using HSV color model and statistical moments of characteristic functions
AU - Chen, Wen
AU - Shi, Yun Q.
AU - Xuan, Guorong
PY - 2007
Y1 - 2007
N2 - Computer graphics generated by advanced rendering software come to appear so photorealistic that it has become difficult for people to visually differentiate them from photographic images. Consequently, modern computer graphics may be used as a convincing form of image forgery. Therefore, identifying computer graphics has become an important issue in image forgery detection. In this paper, a novel approach to distinguishing computer graphics from photographic images is introduced. The statistical moments of characteristic function of the image and wavelet subbands are used as the distinguishing features. In addition, we investigate the influence of different image color representations on the feature effectiveness. Specifically, the efficiency of using RGB and HSV color models is investigated. The experiments have shown that the features extracted from HSV color space, which decouples brightness from chromatic components, have demonstrated better performance than that from RGB color model.
AB - Computer graphics generated by advanced rendering software come to appear so photorealistic that it has become difficult for people to visually differentiate them from photographic images. Consequently, modern computer graphics may be used as a convincing form of image forgery. Therefore, identifying computer graphics has become an important issue in image forgery detection. In this paper, a novel approach to distinguishing computer graphics from photographic images is introduced. The statistical moments of characteristic function of the image and wavelet subbands are used as the distinguishing features. In addition, we investigate the influence of different image color representations on the feature effectiveness. Specifically, the efficiency of using RGB and HSV color models is investigated. The experiments have shown that the features extracted from HSV color space, which decouples brightness from chromatic components, have demonstrated better performance than that from RGB color model.
UR - http://www.scopus.com/inward/record.url?scp=46449135762&partnerID=8YFLogxK
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U2 - 10.1109/icme.2007.4284852
DO - 10.1109/icme.2007.4284852
M3 - Conference contribution
AN - SCOPUS:46449135762
SN - 1424410177
SN - 9781424410170
T3 - Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
SP - 1123
EP - 1126
BT - Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
PB - IEEE Computer Society
T2 - IEEE International Conference onMultimedia and Expo, ICME 2007
Y2 - 2 July 2007 through 5 July 2007
ER -