A Salt and Pepper Noise Removal and Restoration Refinement Algorithm

被引：0

作者：

Junez-Ferreira, Carlos A. ^{[1
]}

Velasco-Avalos, Fernando A. ^{[2
]}

Pastor-Gomez, Nelio ^{[2
]}

机构：

[1] Univ Michoacana, Fac Ingn Elect, Morelia 58040, Michoacan, Mexico

[2] Univ Michoacana, Fac Ingn Civil, Morelia 58040, Michoacan, Mexico

来源：

IMCIC 2010: INTERNATIONAL MULTI-CONFERENCE ON COMPLEXITY, INFORMATICS AND CYBERNETICS, VOL I (POST-CONFERENCE EDITION) | 2010年

关键词：

Image Denoising; Salt and Pepper Noise; Adaptive Median Filter; IMAGE;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Noise removal is an important task inside the image processing area. In this paper, an algorithm for reducing salt and pepper noise and improving the restoration quality through refinement is presented. This algorithm proposes a double screen. As a first step, the algorithm computes an estimation of the denoised image by using an adaptive median filter. Then, the Non-Local Means algorithm is used in order to have a better quality of reconstitution. Obtained results show that the implementation of this proposal gives considerable noise suppression, even with high noise densities, and it could prepare the image for other processes like image segmentation and object recognition.

引用

页码：209 / 214

页数：6

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