Recovery of spectral reflectances of imaged objects by the use of features of spectral reflectances.
Recovery of spectral reflectances of objects being imaged through the use of sensor responses is important to reproduce color images under various illuminations. Although the Wiener estimation is usually used for the recovery, the recovery performance of the estimation depends on the autocorrelation matrix of the spectral reflectances and the noise present in an image acquisition system. The purpose of the present paper is to show that the Wiener estimation with the noise variance estimated by the previous proposal [IEEE Trans. Image Process. 16, 1848 (2006)] and with the autocorrelation matrix that uses the features of the spectral reflectances recovered by the previous method is very effective in greatly improving the performance.
Shimano
Noriyuki
N
Department of Informatics, School of Science and Engineering, Kinki University, 3-4-1, Kowakae, Higashi-osaka, Osaka 577-8502, Japan. shimano@info.kindai.ac.jp
Hironaga
Mikiya
M
D000465:Algorithms; D003116:Color; D003124:Colorimetry / Q000379:methods; D003196:Computer Graphics; D004867:Equipment Design; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D008027:Light; D015233:Models, Statistical; D055095:Optics and Photonics; D010781:Photography / Q000379:methods*; D012044:Regression Analysis; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted