Multispectral image restoration with multisensors

Author

Boo, K.J. ; Bose, N.K.

Author_Institution

Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA

Volume

3

fYear

1996

fDate

16-19 Sep 1996

Firstpage

995

Abstract

A procedure is advanced to restore a single color image, which has been degraded by a linear shift-invariant blur in the presence of additive noise. Four sensors are needed, followed by the application of the RGB-YIQ transformation. Subsequently, one 3-D Wiener filtration is required on a sequence of two luminance components and a 2-D Wiener filter is needed on each of the two chrominance components. For the procedure to be successful, the imposition of a strongly coprime condition on the wavenumber response of two distinct sensor blur functions is necessary. The resulting well-conditioned problem is shown to provide high-quality color images

Keywords

Gaussian noise; Wiener filters; deconvolution; filtering theory; image colour analysis; image restoration; sensor fusion; spectral analysis; white noise; 2-D Wiener filter; 3-D Wiener filtration; RGB-YIQ transformation; additive noise; chrominance components; color image; distinct sensor blur functions; high-quality color images; linear shift-invariant blur; luminance components; multisensors; multispectral image restoration; strongly coprime condition; wavenumber response; well-conditioned problem; Additive noise; Color; Colored noise; Degradation; Image restoration; Image sensors; Layout; Multispectral imaging; Sensor phenomena and characterization; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560993

Filename

560993