Title :
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
fDate :
10/1/1991 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
