Image restoration for a rectangular poor-pixels detector

Wen, P. C., Wang, X. J. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2010) Image restoration for a rectangular poor-pixels detector. In: International Symposium on Precision Engineering Measurements and Instrumentation. SPIE Proceedings, 7544. SPIE Press, Bellingham, WA, p. 754436. doi: 10.1117/12.885301

Abstract/Summary

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.