The structure tensor contains neighborhood structure features of image. It can preserve the details of images edge as well as image de-noising.
结构张量包含有图像的邻域结构特征，借助这些信息可在降噪的同时保持图像边缘的细节特征。
Neuro fuzzy system can be used in image de-noising problems.
实验表明模糊神经系统可以应用于图像去噪问题。
This paper proposes a dictionary learning algorithm which is applied to image de-noising.
本文提出一种超完备字典学习算法并应用于图像去噪。
To solve the problem of losing part of edge in the SAR image de-noising, the edge of image can be preserves beforehand.
而常用的去噪算法在去噪的同时会损失图像的边缘信息，所以本文在去噪前预先保留了图像的边缘信息。
The image de-noising method basically may divide into two kinds: transform domain de-noising and spatial domain de-noising.
图像的去噪方法基本上可分为变换域法和空间域法两大类。
This paper focuses on the image de-noising via lifting scheme.
本论文主要围绕提升格式下的图像降噪处理来进行研究。
To remedy disadvantage of traditional median filtering algorithms in image de-noise, adaptive median filter is introduced and applied to image de-noise.
为了弥补传统中值滤波器在进行图像降噪处理中的不足，在图像降噪技术中应用了自适应中值滤波器。
A new method of image de-noising based on a novel diffusion coefficient function is proposed, which is constructed by using some special characteristics of image features.
提出了一种基于新型扩散系数函数的图像去噪方法，这种扩散系数函数是利用图像特征的一些特殊性质构造出来的。
After analyzing the advantages and disadvantages of the traditional soft threshold algorithm, a new soft threshold image de-noising method is proposed and applied successfully to tele-presence system.
本文在分析了软阈值算法的优点与不足之处的基础上，提出了一种新的软阈值图像去噪方法，并将此方法成功运用到临场感系统中。
After analyzing the advantages and disadvantages of the traditional soft threshold algorithm, a new soft threshold image de-noising method is proposed and applied successfully to tele-presence system.
本文在分析了软阈值算法的优点与不足之处的基础上，提出了一种新的软阈值图像去噪方法，并将此方法成功运用到临场感系统中。
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