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  • 标题:An Improved Super Resolution Image Reconstruction using SVD based Fusion and Blind Deconvolution techniques
  • 本地全文:下载
  • 作者:A. Geetha Devi ; T. Madhu ; K. Lal Kishore
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2014
  • 卷号:7
  • 期号:1
  • 页码:283-298
  • DOI:10.14257/ijsip.2014.7.1.27
  • 出版社:SERSC
  • 摘要:The High resolution (HR) images can be obtained from a set of noisy and blurred low resolution (LR) observations by applying the Super Resolution (SR) technique. In this paper a new SR algorithm that uses Singular Value Decomposition (SVD) based Fusion and Blind deconvolution techniques is proposed. The algorithm significantly improves the resolution and eliminates the noise and blur associated with low resolution images, when compared with the other existing methods
  • 关键词:Super Resolution; Image Fusion; Image registration; Blind Deconvolution
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