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

Volume

1

fYear

1998

fDate

4-7 Oct 1998

Firstpage

206

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.723458

Filename

723458