Multichannel image restoration based on a pseudo-block-diagonalized Wiener filter

Ki-Woon Na; Joon-Ki Paik

doi:10.1117/12.233225

27 February 1996 Multichannel image restoration based on a pseudo-block-diagonalized Wiener filter

Ki-Woon Na, Joon-Ki Paik

Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233225
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States

Abstract

In the present paper we propose a multichannel image restoration method based on a pseudo- block-diagonalized Wiener filter. The proposed algorithm assumes that a multichannel imaging system includes both intra and inter-channel degradation, and utilizes correlation information among channels in the restoration process. Three types of the spectrum estimation techniques are also proposed for implementing the proposed restoration algorithm. The proposed restoration method can be implemented in the Fourier transform domain, and it neither assumes spectral or spatial separability used by Hunt, nor computes the inverse of a huge block matrix.

Citation Download Citation

Ki-Woon Na and Joon-Ki Paik "Multichannel image restoration based on a pseudo-block-diagonalized Wiener filter", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233225

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