Paper Title:
An Effective Regularization Method for Image Super Resolution
  Abstract

In this paper, we propose a new super resolution (SR) reconstruction method to handle license plate numbers of vehicles in real traffic videos. Recently, SR reconstruction shemes based on regularization have been demonstrated to be effective because SR reconstrction is an ill-posed problem. Working within this promising framework, the residual data (RD) term can be weighted according to the differences among the observed LR images in the SR reconstruction model. Moreover, L1 norm is used to measure the RD term in order to improve the robustness of our method. Experiments show the proposed method improves the subjective visual quality of the high resolution images.

  Info
Periodical
Advanced Materials Research (Volumes 219-220)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1411-1414
DOI
10.4028/www.scientific.net/AMR.219-220.1411
Citation
E. W. Zheng, X. J. Wang, "An Effective Regularization Method for Image Super Resolution", Advanced Materials Research, Vols. 219-220, pp. 1411-1414, 2011
Online since
March 2011
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Price
$32.00
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