提出了一种改进型正交有限脊波分析的图像去噪算法。
One kind of Modified Orthonormal Finite Ridgelet Transform was brought forward.
本文提出一种基于图割的全变差（TV）图像去噪算法。
This paper presents a total variation(TV) image denoising algorithm based on graph cut.
因此，研究有效的图像去噪算法，改善去噪性能，对提高整个图像处理系统的性能至关重要。
Thus, the research on effective de-noise algorithms and the improvement of the performance of de-noise are very important for improving the whole performance of the digital image processing system.
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。
To improve linear complex diffusion algorithm for image denoising, a new linear complex diffusion algorithm is put forward.
与原有算法相比，新算法大大提高了总体最小二乘图像去噪算法的效率，并保证了去噪质量特别是保持图像边缘结构以及点特征。
This new method can shorten the runtime as well as improve efficiency of denoised arithmetic, while ensure the denoising quality, especially in the point, line, and edge regions.
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.
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。
Based on the classical total variation restoration model, we design a new nonlinear algorithm of digital TV filter for image de-noising.
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。
Aiming at this problem, this paper USES Kernel Locally Linear Embedding (KLLE) algorithm to solve image denoising problem in this paper.
本文提出一种超完备字典学习算法并应用于图像去噪。
This paper proposes a dictionary learning algorithm which is applied to image de-noising.
图像处理通常需要较大的计算量，其中图像去噪是经常使用的一种预处理算法，研究其快速算法具有重要意义。
The huge computation load is necessary commonly for the image processing, the research on the fast algorithm of im-age denoising is very important for it is often used in the field.
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.
提出了一种基于分层树型结构正交匹配追踪算法的快速图像去噪方法。
A fast and efficient image denoising method is proposed based on Orthogonal matching pursuit which exploits the tree structure to reduce the complexity of the decomposition.
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.
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.
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