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Volume 30 Issue 3
Dec.  2010
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Ding Er-rui, Wang Yi-feng, Zeng Ping, Ding Yang. Color Calibration Based on Structural Risk Minimization and Total Least Squares[J]. Journal of Electronics & Information Technology, 2008, 30(3): 717-720. doi: 10.3724/SP.J.1146.2006.01200
Citation: Ding Er-rui, Wang Yi-feng, Zeng Ping, Ding Yang. Color Calibration Based on Structural Risk Minimization and Total Least Squares[J]. Journal of Electronics & Information Technology, 2008, 30(3): 717-720. doi: 10.3724/SP.J.1146.2006.01200

Color Calibration Based on Structural Risk Minimization and Total Least Squares

doi: 10.3724/SP.J.1146.2006.01200 cstr: 32379.14.SP.J.1146.2006.01200
  • Received Date: 2006-08-14
  • Rev Recd Date: 2007-04-09
  • Publish Date: 2008-03-19
  • 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.
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