Blind Identification of Photorealistic Computer Graphics Based on Fractal Dimensions
Yingda Lv, XuanJing Shen, Guofu Wan, HaiPeng Chen
Available Online January 2014.
- https://doi.org/10.2991/ccit-14.2014.67How to use a DOI?
- Photorealistic Computer Graphic, Fractal Dimension, Colour Space, Gradient image
- 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%.
- 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 -