Analysis of multiframe super-resolution reconstruction for image anti-aliasing and deblurring

被引:13
作者
Wang, ZZ [1 ]
Qi, FH [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200030, Peoples R China
基金
中国国家自然科学基金;
关键词
super-resolution; ill-posedness; perturbation; discrete picard condition; regularization; anti-aliasing; deblurring;
D O I
10.1016/j.imavis.2004.11.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Novel theoretical results for the super-resolution reconstruction (SRR) are presented under the case of arbitrary image warping. The SRR model is reasonably separated into two parts of anti-aliasing and deblurring. The anti-aliasing part is proved to be well-posed. The ill-posedness of the entire SRR process is shown to be mainly caused by the deblurring part. The motion estimation error results in a multiplicative perturbation to the warping matrix, and the perturbation bound is derived. The common regularization algorithms used in SRR are analyzed through the discrete Picard condition, which provides a theoretical measure for limits on SRR. Experiments and examples are supplied to validate the presented theories. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:393 / 404
页数:12
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