Nonlocal image denoising using edge-based similarity metric and adaptive parameter selection

被引：0

作者：

Linwei FAN ^{[1
]}

Xuemei LI ^{[1
]}

Qiang GUO ^{[2
,3
]}

Caiming ZHANG ^{[1
,3
]}

机构：

[1] School of Computer Science and Technology, Shandong University

[2] School of Computer Science and Technology, Shandong University of Finance and Economics

[3] Shandong Provincial Key Laboratory of Digital Media Technology

来源：

Science China(Information Sciences) | 2018年 / 61卷 / 04期

关键词：

Nonlocal image denoising using edge-based similarity metric and adaptive parameter selection; Figure;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

Dear editor,We propose a nonlocal image denoising method with an edge-based similarity metric and adaptive parameter selection.The proposed denoising method uses a two-stage scheme to refine the denoising results.It first produces the central patch

引用

页码：253 / 261

页数：9

共 50 条

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