The self-adaptive local nonlinear regression method for color reproduction - Details

Author：

Cai, Yiheng (Cai, Yiheng.) | Ma, Meijuan (Ma, Meijuan.) | Wen, Shuai (Wen, Shuai.) | Zhang, Xinfeng (Zhang, Xinfeng.) | Liu, Xiaomin (Liu, Xiaomin.)

Indexed by：

EI Scopus

Abstract：

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　self-adaptive　local　linear　regression　method.　The　image　corrected　by　the　new　method　appears　smoothly,　has　natural　transition　between　colors　and　distinct　details.　©　2010　IEEE.

Keyword：

Table lookup Cell proliferation Color Maximum entropy methods Regression analysis

Author Community：

[ 1 ] [Cai, Yiheng]Signal and Information Processing Lab., Beijing University of Technology, Beijing, China
[ 2 ] [Ma, Meijuan]Signal and Information Processing Lab., Beijing University of Technology, Beijing, China
[ 3 ] [Wen, Shuai]Signal and Information Processing Lab., Beijing University of Technology, Beijing, China
[ 4 ] [Zhang, Xinfeng]Signal and Information Processing Lab., Beijing University of Technology, Beijing, China
[ 5 ] [Liu, Xiaomin]Signal and Information Processing Lab., Beijing University of Technology, Beijing, China