A threshold based Directional Weighted Median Filter for Removal of Random Impulses in thermal images

A. Sarkar, S. Changder, J. K. Mandal
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引用次数: 4

Abstract

In this paper a Threshold based Directional Weighted Median (TDWM) Filter for Removal of Random valued Impulse Noises (RVIN) from digital and Infrared Images, has been proposed. This filter works in two phases; at first it detects the impulses, and then replaces the pixels affected with impulses by an estimated value. This filter works efficiently in suppressing impulses from both digital images and infrared images highly corrupted with random valued impulses. Extensive simulations show that proposed filter provides better results than existing filters in suppressing impulses.
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基于阈值的热图像随机脉冲去除方向加权中值滤波器
本文提出了一种基于阈值的方向加权中值滤波方法,用于去除数字图像和红外图像中的随机脉冲噪声(RVIN)。这个过滤器分为两个阶段;它首先检测脉冲,然后用一个估计值替换受脉冲影响的像素。该滤波器能有效地抑制来自数字图像和红外图像的脉冲,这些图像被随机值脉冲严重损坏。大量的仿真结果表明,该滤波器在抑制脉冲方面比现有滤波器具有更好的效果。
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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