Simultaneous noise filtering and super-resolution with second-generation wavelets

被引：29

作者：

Chappalli, MB ^{[1
]}

Bose, NK ^{[1
]}

机构：

[1] Penn State Univ, Dept Elect Engn, Spatial & Temporal Signal Proc Ctr, University Pk, PA 16802 USA

来源：

IEEE SIGNAL PROCESSING LETTERS | 2005年 / 12卷 / 11期

关键词：

noise filtering; second-generation wavelets; super-resolution; thresholding;

D O I：

10.1109/LSP.2005.856875

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Wavelet coefficient thresholding is effective in reducing spatial domain noise in wavelet-based super-resolution algorithms. Here, the effect of the threshold level on reconstructed image quality in second-generation wavelet super-resolution is investigated. The choice of optimal threshold involves a tradeoff between noise filtering and blurring introduced by thresholding. A measure based on the singular values of the image matrix is employed as a reliable gauge of generated high-resolution image quality.

引用

页码：772 / 775

页数：4

共 14 条

[1] Acceleration of iterative image restoration algorithms [J].