The Self-adaptive Local Nonlinear Regression Method for Color Reproduction
(0) Look-up Table (LUT) is one of the popular methods for color reproduction because of its high precision. With the aim to improve the performance of color reproduction, the self-adaptive local nonlinear regression method is proposed in the paper. On the base of self-adaptive local linear regression, the new method has introduced Maximum Entropy Estimation and nonlinear regression to establish a high-precision three dimensional LUT. The result of experiment shows that the self-adaptive local nonlinear regression method works better than the selfadaptive local linear regression method. The image corrected by the new method appears smoothly, has natural transition between colors and distinct details.
local nonlinear regression Mazimum Entropy Estimation Look-up Table Color Reproduction
Meijuan Ma Yiheng Cai Shuai Wen
Beijing University of Technology Beijing, P.R.China Beijing University of Technology Beijing, P.R.China
国际会议
The 31st International Congress on Imaging Science(第31届国际影像科学大会 ICIS2010)
北京
英文
608-612
2010-05-12（万方平台首次上网日期，不代表论文的发表时间）