|
|
|
| Color Calibration Based on Structural Risk Minimization and Total Least Squares |
| Ding Er-rui①; Wang Yi-feng①; Zeng Ping①; Ding Yang② |
| ①School of Computer Science & Technology, Xidian University, Xi’an 710071, China;②School of Electronic Engineering, Xidian University, Xi’an 710071, China |
|
|
|
|
Abstract 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.
|
|
Received: 14 August 2006
|
|
|
|
|
|
|
|
|
2008, Vol. 30 
