Restoration of color images by multichannel Kalman filtering

Author

Galatsanos, Nikolas P. ; Chin, Roland T.

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA

Volume

39

Issue

10

fYear

1991

fDate

10/1/1991 12:00:00 AM

Firstpage

2237

Lastpage

2252

Abstract

A Kalman filter for optimal restoration of multichannel images is presented. This filter is derived using a multichannel semicausal image model that includes between-channel degradation. Both stationary and nonstationary image models are developed. This filter is implemented in the Fourier domain and computation is reduced from O(Λ ³N³M⁴) to O(Λ³N³M²) for an M×M N-channel image with degradation length Λ. Color (red, green, and blue (RGB)) images are used as examples of multichannel images, and restoration in the RGB and YIQ domains is investigated. Simulations are presented in which the effectiveness of this filter is tested for different types of degradation and different image model estimates

Keywords

Kalman filters; filtering and prediction theory; picture processing; Fourier domain; RGB domain; YIQ domains; between-channel degradation; color images; multichannel Kalman filtering; multichannel images; nonstationary image models; semicausal image model; stationary image models; Color; Crosstalk; Decorrelation; Degradation; Filtering; Image restoration; Image sensors; Kalman filters; Signal processing algorithms; Signal restoration;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.91179

Filename

91179