Fast Prototype Based Noise Reduction

被引：0

作者：

Tibell, Kajsa ^{[1
]}

Spies, Hagen ^{[1
]}

Borga, Magnus ^{[2
]}

机构：

[1] Sapheneia Commercial Prod AB, Teknikringen 8, S-58330 Linkoping, Sweden

[2] Linkoping Univ, Dept Biomed Engn, Linkoping, Sweden

来源：

IMAGE ANALYSIS, PROCEEDINGS | 2009年 / 5575卷

关键词：

Image Noise Reduction; Prototype; Non-Local; NONLOCAL MEANS; IMAGE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces a, hovel method for noise reduction in medical images based oil concepts of the Non-Local Means algorithm. The main objective has beers to develop a method that; optimizes the processing speed to achieve practical applicability without compromising the quality of the resulting images. 11 database consisting of prototypes, composed of pixel neighborhoods originating from several images of similar motif, has been created. By using a dedicated data structure; here; Locality Sensitive Hashing (LSH), fast access to appropriate prototypes is granted. Experimental results show that the proposed method call be used to provide noise reduction wit's high quality results in a, fraction of the time required by the Non-local Means algorithm.

引用

页码：159 / +

页数：3

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