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Proceedings Paper

Image restoration for a rectangular poor-pixels detector
Author(s): Pengcheng Wen; Xiangjun Wang; Hong Wei
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Paper Abstract

This paper presents a unique two-stage image restoration framework especially for further application of a novel rectangular poor-pixels detector, which, with properties of miniature size, light weight and low power consumption, has great value in the micro vision system. To meet the demand of fast processing, only a few measured images shifted up to subpixel level are needed to join the fusion operation, fewer than those required in traditional approaches. By maximum likelihood estimation with a least squares method, a preliminary restored image is linearly interpolated. After noise removal via Canny operator based level set evolution, the final high-quality restored image is achieved. Experimental results demonstrate effectiveness of the proposed framework. It is a sensible step towards subsequent image understanding and object identification.

Paper Details

Date Published: 31 December 2010
PDF: 6 pages
Proc. SPIE 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 754436 (31 December 2010); doi: 10.1117/12.885301
Show Author Affiliations
Pengcheng Wen, Tianjin Univ. (China)
Xiangjun Wang, Tianjin Univ. (China)
Hong Wei, Univ. of Reading (United Kingdom)

Published in SPIE Proceedings Vol. 7544:
Sixth International Symposium on Precision Engineering Measurements and Instrumentation
Jiubin Tan; Xianfang Wen, Editor(s)

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