[1]毛晓波,张志超.基于二维经验模态分解的单幅图像超分辨率重建[J].郑州大学学报(工学版),2014,35(05):15-18.[doi:10.3969/i.issn.1671 -6833.2014.05.004]
　MAO Xiaobo,ZHANG Zhichao.Single Image Super-resolution Reconstruction Based onBidimensional Empirical Mode Decomposition[J].Journal of Zhengzhou University (Engineering Science),2014,35(05):15-18.[doi:10.3969/i.issn.1671 -6833.2014.05.004]
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基于二维经验模态分解的单幅图像超分辨率重建()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
35卷
期数:
2014年05期
页码:
15-18
栏目:
出版日期:
2014-09-30

文章信息/Info

Title:
Single Image Super-resolution Reconstruction Based onBidimensional Empirical Mode Decomposition
作者:
毛晓波;  张志超
Author(s):
MAO Xiaobo; ZHANG Zhichao
School of Eleetrical Engineering, Zhengzhou University, Zhengzhou 450001, China
Keywords:
single image super-resolution reconstruetion; BEMD; improved kernel ridge regresslon; bicubie interpolation
分类号:
TP311
DOI:
10.3969/i.issn.1671 -6833.2014.05.004
文献标志码:
A
Abstract:
Aiming at the problem that most learning-based super-resolution algorithms are not eompetent totake both the reconstruction quality and eomputing speed into aecount, a novel single image super-resolutionreeonstruetion based on Bidimensional Empirical Mode Decomposition ( BEMD) is proposed. Firstly, a low.resolution image is decomposed into several layers with different complexities by BEMD, which contains vari-ous details. Then, the first lMF be reconstrueted with high frequeney details by improved kernel ridge regres.sion algorithm in order to ensure the quality of image and the other lMFs eontaining fewer details be reeonstruelby bicubie interpolation in order to improve the speed. Finally, the reeonstructed IMF’s are merged into a high.resolution image. Experimental results demonstrate that the proposed method make full use of the advantages olthe above algorithms, which not only ensure the quality of the reeonstruction image, but also improves theeomputational speed.
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