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 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。
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。
Experiments show our method has integrated advantages for image de-noising and the ability to edge preserving.
实验结果表明，该算法具有两种方法集成优点的去噪效果，边缘也能较好地保持。
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。
Based on the classical total variation restoration model, we design a new nonlinear algorithm of digital TV filter for image de-noising.
根据经典总体变差恢复模型，设计了一种新型的应用于图像去噪的数字TV滤波器的一种算法。
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。
The effectiveness of this method can be proved by using the fourth-order nonlinear diffusion of image de-noising experiment which is based on this method.
并通过基于该方法的四阶非线性扩散的图像去噪实验，结果表明了该方法的有效性。
The experiments show that compared with traditional method which using wavelet for image de-noising, the method based on FPGA has a great improvement in speed.
实验结果表明，以FP - GA来实现基于小波变换的图像去噪方法与传统方法相比，在速度方面得到了很大的提高。
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。
Finally, it gave an image de-noising algorithm of coherence enhancing diffusion, which used wavelet coefficients to estimate the image edge according to the wavelets time-frequent analysis function.
针对相干增强扩散计算扩散矩阵较慢的缺点，提出了一种用小波系数估计图像边缘方向的相干增强扩散图像降噪算法。
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。
The de-noising of image is accomplished by using classical filtering methods.
应用经典滤波方法完成了图像去噪处理；
Based on the multilevel threshold de-noising method foundation, mean value approximation (MVA) was used to pretreat the noising image.
在多层阈值去噪方法的基础上，采用均值逼近法对含噪图像进行预处理。
The testing image of shearography includes much speckle noise, so de-noising is a very important task.
散斑图像往往含有较大的噪声，如何对散斑图像进行降噪处理是一个非常重要的问题。
In order to preserve image fine details while de-noising, a new noise detection and adaptive filter method, which is based on fuzzy reasoning technique, was proposed.
为了在去除图像噪声的同时最大程度地保持图像细节，提出了一种基于模糊推理的噪声检测及自适应滤波方法。
In order to preserve image fine details while de-noising, a new noise detection and adaptive filter method, which is based on fuzzy reasoning technique, was proposed.
为了在去除图像噪声的同时最大程度地保持图像细节，提出了一种基于模糊推理的噪声检测及自适应滤波方法。
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