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25 September 1998 Multichannel blind blur identification and image restoration
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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