An empirical wavelet estimator for image denoising

被引：0

作者：

Pesquet, JC ^{[1
]}

机构：

[1] Univ Paris Sud, ESE, LSS, CNRS, F-91192 Gif Sur Yvette, France

来源：

THIRTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2 | 1998年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Most of the existing works concerning wavelet methods for ID signal denoising are based on hard or soft thresholding estimators. However, their application to image denoising does not always dead to satisfactory results. In this wort, we present a new nonlinear estimation method whose characteristics are adapted to the statistics of the image under study.

引用

页码：91 / 94

页数：4