DocumentCode
532370
Title
Super-resolution image reconstruction
Author
Wan, Xue-fen ; Yang, Yi
Author_Institution
Dept. of Comput. Sci. & Technol., North China Inst. of Sci. & Technol., Sanhe, China
Volume
8
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Super-resolution image reconstruction is a technique to reconstruct high resolution image or video from a sequence of low resolution images. The super resolution method is summarized in this paper. The frequency domain method, non-uniform interpolation, POCS method, iterative back projection method, Bayesian approach, regularization method are both discussed for super-resolution image reconstruction.
Keywords
Bayes methods; image reconstruction; image resolution; interpolation; iterative methods; set theory; Bayesian approach; POCS method; convex set; frequency domain method; iterative back projection method; nonuniform interpolation; regularization method; superresolution image reconstruction; video reconstruction; Artificial neural networks; Bayesian methods; HDTV; Image resolution; Strontium; high resolution; image fusing; image processing; low resolution; super resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620425
Filename
5620425
Link To Document