将一维信号的自适应冲激噪声滤波算法扩展到二维空间，并改进以应用到图像噪声滤波。
An impulse noise filter for 1d signal has been introduced and then extended for the image proceeding.
中值滤波是图像处理中比较常用的滤波方法，但是它对窗口和数据点的依赖使它在处理空间密度较大的冲激噪声时受到限制。
The median filtering is a common method in image processing, but it is limited when it faces the swash noise of space high density, because it depends on the fixed Windows and the data points.
脉冲检测技术是脉冲噪声图像滤波的关键技术。
The technology of impulse detection is the key technology of image filter of impulse noise.
针对灰度图像的椒盐噪声滤波问题，提出一种保细节的非线性滤波算法。
A nonlinear filtering algorithm was presented to remove salt and pepper noise from gray-scale image while preserving details.
针对图像传输过程中的噪声，系统采用了对噪声图像使用局部算子的滤波技术来提高图像质量。
Aiming at the noise in image transmission, the system adopts filter technique of local arithmetic operators to enhance the image quality.
常用的空间自适应滤波方法在滤除噪声的同时，损失了图像中的大量边缘细节信息。
The commonly spatial adaptive noise filter can reduce the noise effectively, but at the same time leads to the loss of a large number of image edge detail information.
文章讨论如何根据最小二乘原理和回归模型设计出自适应滤波器，以用于消除图像噪声。
This paper discusses how to design an adaptive filter to remove the noise of an image in terms of the principle of least squares and regression model.
实验结果表明，与传统的中值滤波和均值滤波算法相比，该算法能够有效地去除高斯和脉冲噪声，同时能够保留更多的图像细节信息。
As a result, the experiment shows that the algorithm can effectively filter out Gaussian and impulse noises, as well as preserve more detailed information of the original image.
合成孔径雷达(SAR)图像相干斑噪声滤波技术分成三类：多视处理、统计滤波和变换域滤波。
Synthetic Aperture Radar (SAR) speckle filtering techniques can be classified into three categories: multi-look processing, statistical filtering and filtering in transform domain.
并通过仿真说明该算法能够比较好的滤除冲激噪声和减小中值滤波对图像引入的平滑效应；
The simulation results show the proposed method can effectively filter the impulse noise and deduce the negative impact on image smoothing by the median filter.
分析了图像采集过程及从中引入的噪声类型，设计了自适应滤波器用于降噪以提高图像质量。
Analyzed the image collecting process and type of the noise. Designed Auto-adapted filter to improve the quality of the image.
传统的低通滤波方法将图像的高频部分滤除，虽然能达到降低噪声的效果，但会破坏图像的细节。
The traditional low-pass filter method can restrain the high frequency part and decrease noise but may destroy image detail, and other methods also have other defects.
根据最小二乘原理和回归模型设计出消除噪声的自适应滤波器，以消除图像的噪声。
An adaptive filter is designed in the paper to remove the noise of an image in terms of the principle of least squares and regression model.
通过采取快速傅立叶变换以及优化滤波减弱了图像噪声对相关波峰的影响，能快速、准确、实时的对相关点进行定位。
By using the fast Fourier transform and optimized filter, the impact of image noise has been reduced, so we can estimate the correlation peak fast and accurate.
提出了利用中值滤波法消除图像噪声的实用方法。
A practical method of removing image noise with medium value filter was put forward.
算法的整个流程包括：运动检测、噪声滤波、去隔行、帧频变换、图像增强的功能模块。
The whole algorithm consists of function modules of motion detection, noise filter, deinterlacing and image enhancement.
通过运算、试验证明中值滤波在抑制成像引信扫描图像噪声、克服探测元失效方面起着良好的作用。
With the calculation and the experiments we proved that median filter has operated well in noise suppression of scanning images and overwhelming failure of detecting element.
文中提出了一种基于细节图像结构窗滤波去除随机值脉冲噪声的新方法。
In the paper, it proposes a novel method based on detail image filtering using structure Windows to remove random-value impulse noise from images.
提出了一种基于噪声检测的遥感图像模糊滤波方法。
This paper proposes a method named fuzzy filtering of remote sensing images based on noise checking.
结合中值与模糊滤波技术，提出了一种新的图像混合噪声滤波算法。
A new algorithm of mixed noise removal for digital image is presented combing median filter and fuzzy technology.
经典的图像滤波器在抑制噪声的同时会丢失图像中的细节。
Classical filters can restrain it with the loss of image details.
在空间域滤波，尽管能够有效地限制噪声，但是同时模糊了图像细节。
In space domain, we can more effectively constrain noise while it blurs image details.
提出了一种自适应邻域中值滤波算法，用于医学超声内窥镜图像的噪声滤除。
This paper presented a new weighted median filter for medical ultrasound endoscopes images based on adaptive neighborhood.
实验表明这是一种有效的滤除水下激光图像散斑噪声的快速滤波算法。
Experimental results indicate this algorithm is a fast efficient algorithm to filter speckle noise in the underwater laser image.
文章针对这一情况采用了保持图像细节的多级组合滤波器先将噪声从图像中分离出来，然后再对图像进行边界提取。
In this paper, the noise is first removed by using Multistage Combination Filter remained the initial image's detail, after that, the Extracting Edge will be completed.
本文提出一种用于图像边缘检测的自适应滤波器，利用它既可滤除图像噪声，又可获取精确度高的图像边缘。
This paper presents an adaptive exponential filter used for edge detection. It can be designed to eliminate the noise of image and obtain good precision of edge localization.
分析了中值滤波器对放大图像噪声的抑制，得到一些定性和定量的结果。
Analyzed the restraining effects of the median filter to the noise in an enlargedimage, and got some qualitative and some quantitative results.
该算法对图像进行多结构多尺度自适应形态滤波处理，从而抑制图像的暗噪声和暗纹理细节。
The algorithm first executed the adaptive morphological filtering of fusion to restrain dark noise and texture details of the images.
为了更有效地利用图像的局部特征恢复被噪声感染的图像，基于图像局部纹理方向概率统计模型，提出一种针对混合噪声的非线性滤波算法。
In order to more effectively make use of local features to restore the noise-infected image, a nonlinear filtering algorithm based on local texture direction probability statistic model was proposed.
为了更有效地利用图像的局部特征恢复被噪声感染的图像，基于图像局部纹理方向概率统计模型，提出一种针对混合噪声的非线性滤波算法。
In order to more effectively make use of local features to restore the noise-infected image, a nonlinear filtering algorithm based on local texture direction probability statistic model was proposed.
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