4 January 2006 A new method for super-resolution reconstruction using wavelet transform
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Proceedings Volume 5985, International Conference on Space Information Technology; 598538 (2006) https://doi.org/10.1117/12.657941
Event: International Conference on Space information Technology, 2005, Wuhan, China
Abstract
In this paper, a super-resolution reconstruction algorithm based on Projection onto Convex Sets (POCS) and wavelets transform is proposed. A high resolution image, after wavelet transform, can be decomposed into two parts: approximate subband and detail subbands. Under some special conditions, the blurred low-resolution images can be thought as the wavelets transform approximate subbands of a high resolution image. Based on the above relationship, we can construct a series of convex sets and then apply the POCS method to recovering high resolution image based on the convex sets. After finite iterative computation, the desired high solution image can be obtained. The experimental results show that the algorithm has good performance in super-resolution reconstruction when the magnification is large enough.
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Shengwei Pei, Haiyan Feng, Minghui Du, "A new method for super-resolution reconstruction using wavelet transform", Proc. SPIE 5985, International Conference on Space Information Technology, 598538 (4 January 2006); doi: 10.1117/12.657941; https://doi.org/10.1117/12.657941
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