%0 Journal Article
%T Color Calibration Based on Structural Risk Minimization and Total Least Squares<br>基于结构风险最小化和全最小二乘法的色彩校正
%A Ding Er-rui
%A Wang Yi-feng
%A Zeng Ping
%A Ding Yang
%A <br>丁二锐
%A 王义峰
%A 曾平
%A 丁阳
%J 电子与信息学报
%D 2008
%I 
%X A locally regressive algorithm for color calibration is proposed. Starting from the principle of structural risk minimization, the algorithm regards the residual of total least squares as the empirical risk and chooses the K-nearest neighborhood of a calibration color point to implement local regression for color calibration. Experimental results indicate that the proposed algorithm is superior, in both precision and robustness, to multiple regression and multiple regression based on subspaces and that its average error, maximum error and error standard deviation decrease by 46%(27%), 57%(21%) and 42%(20%) respectively.
%K Color calibration
%K Structural risk minimization
%K Total least squares
%K Local regression<br>色彩校正
%K 结构风险最小化
%K 全最小二乘法
%K 局部回归
%K 结构风险
%K 最小化
%K 乘法
%K 色彩校正
%K Least
%K Squares
%K Total
%K Minimization
%K Risk
%K Structural
%K Based
%K Calibration
%K 差分
%K 误差标准
%K 最大误差
%K 平均误差
%K 多重回归
%K 鲁棒性
%K 精度
%K 结果
%K 实验
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=CA238F35750B8793B9F28B0BA6C4A537&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=E5ED9059DE792E50&eid=2A92ABD90588B251&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=21