Image Resolution Enhancement Using Dual-Tree Complex Wavelet Transform

被引：31
|
作者：
Celik, Turgay [1 ]
Tjahjadi, Tardi [1 ]
机构：
[1] Univ Warwick, Sch Engn, Coventry CV4 7AL, W Midlands, England
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2010年 / 7卷 / 03期
关键词：
Discrete wavelet transform (DWT); dual-tree complex wavelet transform (DT-CWT); image interpolation; image resolution enhancement; satellite image; super-resolution;
D O I：
10.1109/LGRS.2010.2041324
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
In this letter, a complex wavelet-domain image resolution enhancement algorithm based on the estimation of wavelet coefficients is proposed. The method uses a forward and inverse dual-tree complex wavelet transform (DT-CWT) to construct a high-resolution (HR) image from the given low-resolution (LR) image. The HR image is reconstructed from the LR image, together with a set of wavelet coefficients, using the inverse DT-CWT. The set of wavelet coefficients is estimated from the DT-CWT decomposition of the rough estimation of the HR image. Results are presented and discussed on very HR QuickBird data, through comparisons between state-of-the-art resolution enhancement methods.
引用
收藏
页码：554 / 557
页数：4
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