Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

Blind Identification of Photorealistic Computer Graphics Based on Fractal Dimensions

Authors
Yingda Lv, XuanJing Shen, Guofu Wan, HaiPeng Chen
Corresponding Author
Yingda Lv
Available Online January 2014.
DOI
https://doi.org/10.2991/ccit-14.2014.67How to use a DOI?
Keywords
Photorealistic Computer Graphic, Fractal Dimension, Colour Space, Gradient image
Abstract
The perceptual differences between photographic images and CG primarily exist in the colour and the surface texture. In this study a blind identification algorithm was proposed to identify CG, which is based on fractal dimensions. Firstly, change the image’s colour space from RGB to HSV and extract fractal dimensions on HSV colour space; Secondly, obtain fractal dimensions from image’s gradient image; Thirdly, calculate fractal dimensions of PEM and the global fractal dimension. The experimental results showed its effectiveness, and the correct detection rate of CG is 96%.
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Proceedings
2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-90786-77-97-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/ccit-14.2014.67How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yingda Lv
AU  - XuanJing Shen
AU  - Guofu Wan
AU  - HaiPeng Chen
PY  - 2014/01
DA  - 2014/01
TI  - Blind Identification of Photorealistic Computer Graphics Based on Fractal Dimensions
BT  - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.67
DO  - https://doi.org/10.2991/ccit-14.2014.67
ID  - Lv2014/01
ER  -