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Proceedings Paper

A new method for super-resolution reconstruction using wavelet transform
Author(s): Shengwei Pei; Haiyan Feng; Minghui Du
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Paper 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.

Paper Details

Date Published: 4 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 598538 (4 January 2006); doi: 10.1117/12.657941
Show Author Affiliations
Shengwei Pei, South China Univ. of Technology (China)
Haiyan Feng, South China Univ. of Technology (China)
Minghui Du, South China Univ. of Technology (China)

Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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