Multichannel blind blur identification and image restoration

Chunqi Chang; SzeFong Mark Yau; Paul Kwok; F. K. Lam; Francis H. Y. Chan

doi:10.1117/12.323593

25 September 1998 Multichannel blind blur identification and image restoration

Chunqi Chang, SzeFong Mark Yau, Paul Kwok, F. K. Lam, Francis H. Y. Chan

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323593
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

Abstract

This paper considers the problem of multi-channel blind image restoration and blur identification. By constructing the blind identification problem into an optimization problem, we propose a subspace decomposition based algorithm to blindly identify the blur functions. The proposed algorithm is inherently the same as many of the others in the literature, but at significantly reduced computation complexity. Let M be the number of blurred images available, N₁ X N₂ be the size of the images and L₁ X L₂ be the size of blur functions, our algorithm has a computational complexity of O(M²L²₁L²₂N₁N₂), as compared to O(M⁴L²₁L²₂N₁N₂) for previous works. The proposed algorithm is therefore more suitable for practical applications.

Citation Download Citation

Chunqi Chang, SzeFong Mark Yau, Paul Kwok, F. K. Lam, and Francis H. Y. Chan "Multichannel blind blur identification and image restoration", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323593

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