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Fast MAP-based multiframe super-re solution image reconstruction
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DOI：10.1016/j.imavis.2005.03.004.png)
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摘要
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Super-resolution image reconstruction produces a high-resolution image from a set of shifted, blurred, and decimated versions thereof. Previously published papers have not addressed the computational complexity of this ill-conditioned large scale problem adequately. In this paper, the computational complexity of MAP-based multiframe super-resolution algorithms is studied, and a new fast algorithm, as well as methods for parallel image reconstruction is also presented. The proposed fast algorithm splits the multiple input low-resolution images into several subsets according to their translation relations, and then applies normal MAP algorithm to each subset, the reconstructed images are processed subsequently at a successive level until the desired resolution is achieved. Experiment results are also provided to demonstrate the efficiency of the proposed techniques. (c) 2005 Elsevier B.V. All rights reserved.
Keyword:
super-resolution
MAP
computational complexity
image reconstruction
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