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Optical Engineering

Fast hybrid approach to large-magnification super-resolution image reconstruction
Author(s): Di Zhang; Minghui Du
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Paper Abstract

Superresolution image reconstruction produces a high-resolution image from a set of shifted, blurred, and decimated versions thereof. Previously published techniques perform well only for small magnifications but get worse either in computational complexity or ringing artifacts for large magnifications. We propose a hybrid algorithm to reduce both ringing artifacts and computational complexity of maximum a posteriori (MAP)-based superresolution algorithms. The proposed algorithm magnifies the low-resolution image in stages, and applies a new edge-adaptive postprocessing algorithm at early stages. Experiment results show that the new approach is more efficient and can provide much better reconstruction quality in comparison with normal MAP algorithms.

Paper Details

Date Published: 1 March 2005
PDF: 9 pages
Opt. Eng. 44(3) 037005 doi: 10.1117/1.1870652
Published in: Optical Engineering Volume 44, Issue 3
Show Author Affiliations
Di Zhang, South China Univ. of Technology (China)
Minghui Du, South China Univ. of Technology (China)

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