Edge-image-based approach for stable super-resolution reconstruction

Yan Cheng; Xiang Zhong Fang; Xiaokang Yang

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Edge-image-based approach for stable super-resolution reconstruction

机译：Edge-image-based approach for stable super-resolution reconstruction

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摘要

A critical problem of maximum a posteriori (MAP) superresolution (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.

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来源
《Optical Engineering》 |2007年第2期|027004-1-027004-8-0|共8页
作者
Yan Cheng; Xiang Zhong Fang; Xiaokang Yang;
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作者单位

Shanghai Jiao Tong University Institute of Image Communication and Information Processing Shanghai 200240, China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类光学仪器;
关键词
maximum a posteriori; super-resolution; Lorentzian distribution;

Edge-image-based approach for stable super-resolution reconstruction

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