NDLI: An Improved Super-Resolution Reconstruction Algorithm Based on Regularization

Content Provider	IEEE Xplore Digital Library
Author	Shuang Wang Bingliang Hu Xiaokun Dong Xingtao Yan
Copyright Year	2013
Description	Author affiliation: Xi'an Inst. of Opt. & Precision Mech. of CAS, Xian, China (Shuang Wang; Bingliang Hu; Xiaokun Dong; Xingtao Yan)
Abstract	The traditional regularized super-resolution (SR) algorithms can reconstruct the high-resolution (HR) image to some extent. But the high frequency information of the image will lose seriously and the edges and details will become blurred. This paper presents an improved regularized SR algorithm. Firstly, a new interpolation algorithm is used to obtain the initial value of the HR image. Secondly, the trilateral filter is adopted as the regularization term to preserve the edge and details. Finally, the steepest descent method is taken as the iterative algorithm to gain the optimum solution. Simulated experiments are presented including the comparison with some existing reconstruction algorithms. Those results show that the proposed algorithm performs better than others. Furthermore, the edges and details of the image are well preserved.
Starting Page	716
Ending Page	721
File Size	2944165
Page Count	6
File Format	PDF
ISBN	9781479952458
DOI	10.1109/ISCC-C.2013.44
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Super-resolution reconstruction trilateral filter Image edge detection Signal processing algorithms Steepest descent method Filtering algorithms Mathematical model Image reconstruction Equations
Content Type	Text
Resource Type	Article

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