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Proceedings Paper

Multichannel image restoration based on a pseudo-block-diagonalized Wiener filter
Author(s): Ki-Woon Na; Joon-Ki Paik
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Paper 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.

Paper Details

Date Published: 27 February 1996
PDF: 10 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233225
Show Author Affiliations
Ki-Woon Na, Chung-Ang Univ. (South Korea)
Joon-Ki Paik, Chung-Ang Univ. (South Korea)


Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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