实验结果表明，该方法比中值滤波具有更好的去噪效果。
Experimental results demonstrate that this method is more valid than medium value filtering.
主要工作如下：1。提出了一种基于中值滤波与小波变换的指纹图像去噪方法。
The main contributions are summarized as follows:1. Proposed an integrated denoising algorithm based on mid-value filtering and wavelet transform of fingerprint image.
根据距离像噪声来源，采用结合强度像的多级中值滤波对实际的雷达图像进行了去噪处理。
According to range image noise, combining intensity image with multilevel median filtering is used for actual ladar image.
结合中值滤波与小波去噪分别去除椒盐噪声和高斯噪声中的优势，提出了一种指纹图像混合去噪算法，并对其中的关键步骤进行了详细分析。
Combining the advantages of median filtering and wavelet transform in denoising salt and pepper and gauss noise, bring up a sort of mixing denoise algorithm, and analyze the critical steps on detail.
针对小波变换多分辨分析(mra)的特点，本文提出一种多尺度分级的自适应模糊权重中值滤波的去噪方法。
According to the feature of the MRA, this paper presents a noise filtering method of adaptive fuzzy threshold for wavelet classification base on multi resolution.
对视频采集到的板材纹理图像进行灰度化、中值滤波去噪、二值化、腐蚀、膨胀等处理，得到仅包含目标纹理的图像后检测纹理边缘。
Treat with plate grain image got by video using methods of gray level transformation, median filter, erosion, expansion and so on, gain the image which only includes grain, then detect brim of grain.
对中值滤波、均值滤波和高斯滤波的去噪效果进行了比较和分析，并将其应用到声呐图像的平滑过程中。
The results of noise reduction with a median filter, a average filter and a gauss filter are analyzed. The author applies these algorithms to the sonar image smoothing.
算法在性能指标和视觉质量上均优于基于离散正交小波变换的阈值去噪方法和传统的中值滤波法。
In performance and visual quality, the algorithm is better than the wavelet denoising based on discrete orthogonal wavelet transform and the conditional median value filtering method.
文中在分析传统的去噪处理算法和自适应中值滤波算法的（AMF）基础上，提出了一种自适应加权的遥感图像去噪滤波方法。
In this paper, based on the analysis of the usual smoothing filter and adaptive median filter (AMF), a novel adaptive, weighting filter (AWF)scheme for RS image denoising is presented.
去隔行算法通过对帧间差别的中值滤波完成运动自适应内插。
The deinterlace algorithm performs motion adaptive interpolation, using median filtered inter-frame differences to generate the motion signal.
本文介绍了一种应用数学形态学对粒子图像进行预处理的方法，并与维纳去噪、中值滤波去噪进行了对比。
Mathematical Morphology on the pre-processing particle-image, and the results were compared with that of Wiener and median filter.
本文采用中值滤波对图像进行了平滑、去噪处理。
为此将中值滤波与小波阈值去噪相结合构造了小波域中值滤波器，并应用于陀螺数据处理中。
Therefore based on the median filter and the threshold de-noising of wavelet, the wavelet domain median filter was formed, and it was applied to the gyro's signal processing.
在分析经典中值滤波技术的基础上，提出了一种自适应加权自适应加权去噪滤波方法，取得了满意的结果。
Based on the classical median filtering, an adaptive and weighting filter method is proposed which works well in experiments.
将运动补偿技术与基于方向的时空滤波方法相结合，去隔行插值结果是运动补偿时间插值和基于方向的时空中值滤波方法的加权和。
It combines the motion compensation technique with a directional based spatiotemporal filter, and the interpolation result is the weighted sum of the two methods.
图像的消噪实验表明，小波变换用于图像消噪效果优于均值滤波，与中值滤波去噪相比无明显差别。
Image denoising experiments show that wavelet transform for image denoising is better than mean filtering, no significant difference compared with median filter.
首先针对光靶图像的噪声特性，设计了中值滤波的方法对图像进行去噪处理，有效地滤除各种混合噪声。
Firstly, for noise characteristics of the spot and target image, the way of median filter is designed to filter the mixed noise of image.
该图象去噪方法同传统的中值滤波、高斯滤波相比，具有保形、保对比度的特点。
To compare with traditional medial filter and Gaussian filter, the image denoising method based on set operator has the characteristics of shape preserving and contrast invariant.
利用中值滤波和基于小波变换的去噪声处理对同时含有高斯噪声和脉冲噪声的X线图像降噪方法进行探讨。
This paper evaluated median filter in company with wavelet transformation to process X-ray image that contained Gauss noise and impulse noise at the same time.
因此，保护细节的中值类滤波算法的研究成为图像去噪领域一个重要的问题。
This paper mainly investigates the median filtering methods based on the noise pixel detection.
为了满足实时实现三维医学图像去斑应用的需要，本文提出一种新的实现三维中值滤波器的快速算法及其高性能VLSI结构。
To achieve real-time 3-D medical image despeckling, a novel fast algorithm and high-performance Very Large Scale Integrated (VLSI) architecture for 3-D median filter were presented.
同时，取得比中值滤波器和均值滤波器等传统方法更好的去噪效果。
Meanwhile, it can achieve better performance than other traditional methods such as the average filter and median filter.
同时，取得比中值滤波器和均值滤波器等传统方法更好的去噪效果。
Meanwhile, it can achieve better performance than other traditional methods such as the average filter and median filter.
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