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http://dx.doi.org/10.5391/JKIIS.2007.17.1.072

A Study on High Resolution Reconstruction Algorithms for improving Resolution  

Baek, Young-Hyun (원광대학교 전자공학과)
Moon, Sung-Ryong (원광대학교 전자공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.1, 2007 , pp. 72-79 More about this Journal
Abstract
In this paper, It propose a new restoration algorithm of high resolution, which is reconstructed to high resolution image using low resolution image informations. The proposed algorithm is constructed based on super resolution theory, it is consisted of progressive steps of the integration and construction. It reduced a lot of data-processing capacity and noise with integration through sub-pixel movement and wavelet basis through a higher resolution. As a result, it is shown that the main information is maintained and the error rate is improved. Using expansion fuzzy wavelet B-spline interpolation in stage of construction, it is confirmed that we can achieve smoothing image and good resolution without blur and block.
Keywords
super resolution; image reconstruction; registration; wavelet basis; B-spline;
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