NDLI: Super-resolution image by curve fitting in the threshold decomposition domain

Content Provider	IEEE Xplore Digital Library
Author	Tsz-Chun Ho Bing Zeng
Copyright Year	2008
Description	Author affiliation: Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon (Tsz-Chun Ho; Bing Zeng)
Abstract	A new curve-fitting method is proposed in this paper to produce super-resolution images from a low-resolution source. The novelty of this method lies that the threshold decomposition is applied on the gray-scale source image to obtain multiple binary images; and the curve-fitting is applied on the resulting set of binary images. In particular, we devote much of our efforts to tiny objects and thin structures so as to achieve rather nice visual results even when a large zoom-in factor is used. The results are compared with those achieved by using the bi-cubic interpolation, showing the ability of our algorithm to achieve much better visual quality in smooth areas as well as for sharp edges and small objects.
Starting Page	332
Ending Page	335
File Size	1097101
Page Count	4
File Format	PDF
ISBN	9781424423415
e-ISBN	9781424423422
DOI	10.1109/APCCAS.2008.4746027
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Curve fitting Strontium Pixel Gray-scale Interpolation Data mining Stacking Image converters Parallel processing
Content Type	Text
Resource Type	Article

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Super-resolution image by curve fitting in the threshold decomposition domain