Title :
Optimal quantization of JPEG2000 baseline compression in RGB space
Author :
Ying Liu ; Yimin Zhou ; Guoqing Xu
Author_Institution :
ShenZhen Inst. of Adv. Technol., Shenzhen, China
Abstract :
In this paper, an optimal compression ratio is discussed based on JPEG2000 baseline compression in RGB space. Human eyes are more sensitive to green color than to red and blue colors. Hence, optimal compression ratios should be adopted during quantization. A novel mathematical model for co-relationship of three color components in RGB is developed. VDR (voyage data recorder) test methods combined with information entropy are used to evaluate the optimal compression ratio, considering the human eye characteristics. Simulation results have proven the effectiveness of the proposed method.
Keywords :
data compression; entropy; image coding; image colour analysis; quantisation (signal); JPEG2000 baseline compression; RGB space; VDR test method; compression ratio; human eye characteristics; information entropy; quantization; red-green-blue; voyage data recorder;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-2125-9
DOI :
10.1109/ROBIO.2012.6490991