Efficient wavelet-based image denoising algorithm

被引：44

作者：

Cai, ZH ^{[1
]}

Cheng, TH ^{[1
]}

Lu, C ^{[1
]}

Subramanian, KR ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch EEE, Singapore 639798, Singapore

来源：

ELECTRONICS LETTERS | 2001年 / 37卷 / 11期

关键词：

D O I：

10.1049/el:20010466

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：

Characterising the statistics of wavelet coefficients is a critical issue in image compression and denoising. Many powerful approaches have been investigated, but accurate modelling suffers From high computation complexity. In this work an efficient adaptive algorithm to capture the dependency of both inner and inter scale wavelet coefficients is proposed. Experimental results show that compared with the algorithm in [3], in the case of higher noise variance, greater PSNR performance gain may be obtained.

引用

页码：683 / 685

页数：3

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