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Proceedings Paper

Fast approach to super-resolution image reconstruction
Author(s): Di Zhang; Weiping Hu; Jiazhong He; Minghui Du
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Paper Abstract

Super-resolution image reconstruction produces a high-resolution image or high- resolution image sequences from a set of shifted, blurred, and decimated versions thereof, and has been proven to be extremely useful in early vision, video surveillance, and other applications. However, as magnification increases, previously published techniques get worse either in computational complexity or ringing artifacts. In this paper, a fast approach is proposed to reduce both the ringing artifacts and the computational complexity. Experiment results demonstrate that the new approach is more efficient and can provide much better reconstruction quality in comparison with normal super-resolution algorithms.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678614 (15 November 2007); doi: 10.1117/12.747702
Show Author Affiliations
Di Zhang, Shaoguan Univ. (China)
South China Univ. of Technology (China)
Weiping Hu, South China Univ. of Technology (China)
Jiazhong He, Shaoguan Univ. (China)
Minghui Du, South China Univ. of Technology (China)

Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)

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