Title :
Colorimetric restoration of digital images
Author :
Celebi, H. ; Trussell, H.J.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
A colorimetric approach to restoration of digital images is presented. Assumptions are made to simplify the general problem to obtain a more computable form. Two methods are developed using Karhunen-Loeve transformation and independent restoration schemes to solve the estimation problem in color image processing using multidimensional restoration. A comparison of the methods is presented including the results obtained in CIELAB values and visual images. The results for the SNR and blurs studied indicate that more than three color channels produces only a slight gain
Keywords :
Karhunen-Loeve transforms; colorimetry; image colour analysis; image restoration; parameter estimation; CIELAB values; Karhunen-Loeve transformation; SNR; blurs; color channels; color image processing; colorimetric restoration; digital images; estimation problem; forward model; image restoration; multidimensional restoration; visual images; Cameras; Color; Digital images; Gain measurement; Image restoration; Optical filters; Optical noise; Optical sensors; Reflectivity; Wavelength measurement;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723458
