A Review of Super-Resolution Restoration from Image Sequences

Abstract:

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Super-resolution (SR) restoration produces one or a set of high resolution images from low-resolution observations. In particular, SR restoration involves many multidisciplinary studies. A review on recent SR restoration approaches was given in this paper. First, we introduced the characteristics and framework of SR restoration. The state of the art in SR restoration was surveyed by taxonomy. Then we summarized and analyzed the existing algorithms of registration and reconstruction. A comparison of performing differences between these methods would only be valid given. After that we discussed the SR problems of color images and compressed videos. At last, we concluded with some thoughts about future directions.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1336-1341

DOI:

10.4028/www.scientific.net/AMR.204-210.1336

Citation:

Z. G. Xu and X. Q. Su, "A Review of Super-Resolution Restoration from Image Sequences", Advanced Materials Research, Vols. 204-210, pp. 1336-1341, 2011

Online since:

February 2011

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Price:

$35.00

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