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Optical Engineering

Edge-image-based approach for stable super-resolution reconstruction
Author(s): Yang Cheng; Xiangzhong Fang; Xiaokang Yang
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Paper Abstract

A critical problem of maximum a posteriori (MAP) super-resolution (SR) image reconstructed algorithms is the choice of an appropriate prior model. Instead of modeling an original image directly, this work proposes an edge-image-based approach for stable SR reconstruction of the Lorentzian distribution. Through analyzing the convex and derivative properties of the Lorentzian distribution, we demonstrate the validity and stability of the proposed method for MAP SR reconstruction. The Lorentzwidth parameter is calculated iteratively to control the general sharpness degree of the image in the SR reconstruction process. Experiments confirm the effectiveness and robustness of the proposed method, and yield both objective and subjective qualities of the reconstructed SR images significantly better than conventional methods.

Paper Details

Date Published: 1 February 2007
PDF: 8 pages
Opt. Eng. 46(2) 027004 doi: 10.1117/1.2697902
Published in: Optical Engineering Volume 46, Issue 2
Show Author Affiliations
Yang Cheng, Shanghai Jiao Tong Univ. (China)
Xiangzhong Fang, Shanghai Jiao Tong Univ. (China)
Xiaokang Yang, Shanghai Jiao Tong Univ. (China)


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