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27 February 1996 Multichannel image restoration based on a pseudo-block-diagonalized Wiener filter
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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); doi: 10.1117/12.233225; https://doi.org/10.1117/12.233225
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