DocumentCode
1833610
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
fYear
2012
fDate
11-14 Dec. 2012
Firstpage
348
Lastpage
353
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4673-2125-9
Type
conf
DOI
10.1109/ROBIO.2012.6490991
Filename
6490991
Link To Document