Colorimetric restoration of digital images

Author

Altunbasak, Hayriye ; Trussell, H. Joel

Author_Institution

NCR, Duluth, GA, USA

Volume

10

Issue

3

fYear

2001

fDate

3/1/2001 12:00:00 AM

Firstpage

393

Lastpage

402

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 from earlier works, to solve the estimation problem in color image processing using multidimensional restoration. A comparison of the methods is presented including the effects of parameters of interest to desktop scanners and digital cameras. The results for the SNRs and blurs studied indicate that more than three color channels produces a slight numerical gain and modest visual gain

Keywords

cameras; colorimetry; image colour analysis; image restoration; image scanners; Karhunen-Loeve transform; SNR; blur; color channels; color image processing; colorimetric restoration; desktop scanners; digital cameras; digital images; estimation problem; independent restoration scheme; multidimensional restoration; numerical gain; visual gain; Color; Digital cameras; Digital images; Filters; Image restoration; Multidimensional systems; Reflectivity; Signal restoration; Signal to noise ratio; Wavelength measurement;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.908505

Filename

908505