Image denoising has always been a hot issue in image processing.
图像去噪问题一直是图像预处理的热点问题。
Ear image denoising plays an important role in ear recognition system.
人耳图像的去噪是人耳识别过程中的一个重要步骤。
The engineering image denoising is realized with MATLAB software system.
应用MATLAB软件系统实现工程图像的去噪。
In this paper, we will discuss the application of PDE in image denoising.
本文主要讨论偏微分方程在图像去噪中的应用。
The paper presents a Support Vector Machine (SVM) based image denoising approach.
提出了一种基于支持向量机进行图像去噪的方法。
This paper presents a total variation(TV) image denoising algorithm based on graph cut.
本文提出一种基于图割的全变差（TV）图像去噪算法。
It is necessary for the image denoising to preprocess for its segmentation and recognition.
图像消噪是图像分割和识别的必要预处理。
The main results are as follows: 1. An image denoising scheme based on human visual system is proposed.
主要内容为：1。提出了一种基于人类视觉系统的图像去噪方法。
A novel algorithm of infrared image denoising is presented based on the characteristic of impulsive noise.
基于红外脉冲噪声的特点，提出了一种新的非常有效的脉冲噪声的去噪算法。
Experimental results show that the algorithm not only has a good effect in image denoising, but also runs steadily.
实验结果表明，该算法不仅去噪效果好，而且运行稳定。
To improve linear complex diffusion algorithm for image denoising, a new linear complex diffusion algorithm is put forward.
对线性复扩散去噪算法进行改进，提出了非线性复扩散图像去噪算法，构造了新的非线性复扩散系数。
The experiment shows that image denoising using the robust local threshold performs better than that using the universal threshold.
用均方差衡量去噪性能，实验表明用鲁棒局部阈值去噪法好于全局阈值去噪法。
Image denoising is an important foundation for advanced image processing, and is the hot research area in digital image processing.
图像去噪是对图像进行高级处理的重要基础，已经成为当今数字图像处理的热门领域之一。
Because this function keeps smooth in the entire value range, some important details in the process of image denoising can be held.
此种函数因在整个取值区间内保持平滑性，所以在去噪中可保存图像的部分细节。
To identify the noise types of ct image, corresponding method was used to improve the effect of image denoising, reduce the blindness.
对CT图像噪声的类型进行识别，采用相适应的去噪方法提高图像去噪效果，减少去噪中的盲目性。
This article proposes to utilize the dual-tree complex wavelet transformation to the core image denoising, and good effect is obtained.
岩心图像的去噪是后续的目标检测与定量分析的关键。
Aiming at this problem, this paper USES Kernel Locally Linear Embedding (KLLE) algorithm to solve image denoising problem in this paper.
针对该问题，提出基于核局部线性嵌入算法的图像去噪方法。
All the research works in this dissertation have important values in the theory and application on image denoising and image fusion fields.
本论文的所有研究工作在图像去噪与图像融合处理领域具有重要的理论与应用价值。
Experiments show the method has integrated advantage for image denoising and superior results both visually and in terms of mean square error.
实验结果表明，该方法可以有效降低图像噪声，同时，较好地保持图像视觉效果。
Compared with the image denoising method using bivariate shrinkage function, the experiment result shows the PSNR is enhanced using this method.
实验结果表明，该方法较双变量收缩函数去噪方法在PSNR值上又有了提高。
The following content of this thesis is about an analog receiver for MR spectrometer based on PCI bus and wavelet based MR image denoising method.
本文后面的内容将讨论核磁共振成像仪中的接收机的设计，以及数据后处理过程中的图像降噪方法。
In image denoising, traditional low-pass methods can suppress high frequency noise, at the same time they can destroy image details unsatisfactory.
在图像滤波方面，传统的低通滤波方法在滤除图像高频成分的同时，破坏了图像的某些细节。
An improved fractal image denoising algorithm for removing additive white Gaussian noise (AWGN) was presented by adopting quadratic gray-level function.
提出了一种针对加性白高斯噪声(AWGN)的改进分形图像去噪方法。
The image denoising method is proposed based on dual tree complex wavelet transform, which can do better both in features preserving and noise removing.
将对偶树复小波变换应用于图像去噪，可以更好地表示图像的边缘和纹理特征，从而得到较小波更好的去噪效果。
Image denoising experiments show that wavelet transform for image denoising is better than mean filtering, no significant difference compared with median filter.
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。
The image denoising is the earliest and most research in the image restoration domain, it is the essential step and the key link in the process of image processing.
图像去噪是图像恢复领域研究最早、最多的课题，也是进一步处理图像的必要步骤和关键环节。
Using the discrete image degradation model, a block-based SVD filter scheme was applied for the image denoising with an automatically determined singular value rank.
从图像的退化离散模型出发，对图像进行逐层分块奇异值分解，并自动选取奇异值重组阶数以减少噪声对估计的影响。
To overcome drawback of bilateral filter that blurs the image feature to some extent, a bilateral image denoising method based on similar pixel selecting is proposed.
针对双边滤波在一定程度上模糊了图像特征的缺陷，提出一种基于相似像素选择的图像双边滤波算法。
To overcome drawback of bilateral filter that blurs the image feature to some extent, a bilateral image denoising method based on similar pixel selecting is proposed.
针对双边滤波在一定程度上模糊了图像特征的缺陷，提出一种基于相似像素选择的图像双边滤波算法。
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