本文提出了两种同时受脉冲噪声和高斯白噪声污染图像的基于区域生长的细节保护滤波器。
In this paper, two detail-preserving region-growing-based filters is proposed to deal with the noisy image.
本文针对数字图像中出现的正向脉冲噪声，提出了基于行列处理消除正向脉冲噪声的非线性滤波器(RCF)，并分析了它的滤波和细节保护特性。
In order to remove the positive impulse noise, a nonlinear filter (RCF) based on row and column filtering is presented and its filtering and detail protection properties are analyzed in the paper.
实验表明基于行列处理的非线性滤波器通过简单的行列处理，不但能有效消除正向脉冲噪声，而且对图像边缘和细节具有较强的保护能力。
It is shown that the filter presented in the paper has the ability of effective removing the positive impulse noise and better protection for edges and details with simple row and column processing.
针对图像滤噪中滤除噪声和保护细节(边缘)的矛盾，本文提出一种新的基于方向信息测度的自适应多级中值滤波器。
This paper presents a new adaptive multilevel median filter based on direction information measure to solve the contradiction between noise attenuation and image details-preserving (edge-preserving).
实验结果显示，在抑制噪声方面和细节保护方面，该滤波器比传统的多级中值滤波器有着明显的改善。
The experimental results show that this filter can achieve better results in restraining noise and protecting the details than conventional multilevel median filter.
堆栈滤波器是一类能够有效滤除脉冲类噪声，同时能较好地保护图象边缘与细节的非线性滤波器。
As a kind of nonlinear filters, stack filters can suppress impulse noise effectively, and keep edges and details at the same time.
堆栈滤波器是一类能够有效滤除脉冲类噪声，同时能较好地保护图象边缘与细节的非线性滤波器。
As a kind of nonlinear filters, stack filters can suppress impulse noise effectively, and keep edges and details at the same time.
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