一种基于四分位间距的自适应非线性统计椒盐噪声去除算法

Q4 Computer Science

Electronic Letters on Computer Vision and Image Analysis Pub Date : 2019-06-27 DOI:10.5565/REV/ELCVIA.1145

A. Halder

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引用次数: 3

摘要

本文提出了一种基于改进均值滤波器的椒盐噪声去除方案。所提出的方法基于均值滤波器的简单基本概念，其中每个均值都是根据四分位数间距（IQR）的数学公式计算的。它使用应用于滤波器窗口的基于IQR的数学公式来替换有噪声的像素。实验结果证明了与其他现有的不同类型的脉冲噪声去除技术相比，该方法的效率（图像质量）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range

This paper presents a salt-and-pepper noise removal scheme using modified mean filter. The proposed method is based on a simple basic concepts of mean filter, where each mean value is calculated from the mathematical formula of interquartile range (IQR). It replaces the noisy pixels using IQR based mathematical formula applied on the filter window. Experimental results are presented to demonstrate the efficiency (quality of the image) of the method compared to other existing different types of impulse noise removal techniques.

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来源期刊

Electronic Letters on Computer Vision and Image Analysis Computer Science-Computer Vision and Pattern Recognition

CiteScore

2.50

自引率

0.00%

发文量

审稿时长

12 weeks