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。
Based on the redundancy of sinogram data, one denoising algorithm to CT image is put forward.
图的冗余信息，提出了一种显微ct图像降噪算法。
To achieve a good performance in this respect, a denoising algorithm has to adapt to image discontinuities.
为了实现良好的性能在这方面，去噪算法，以适应图像的不连续性。
A new denoising algorithm is introduced and applied to remove noises from oscillographic signals of Glycyrrhizic acid's concentration.
提出一种新的去噪算法并应用于受噪声干扰的示波测定信号的去噪处理。
Median filter is a common denoising algorithm. This paper proposes a new adaptive weighted algorithm based on the slope of the curved liner.
中值滤波是常用的降噪算法，本文提出了一种基于窗口拟合曲线的斜率信息的自适应加权算法。
How to construct a denoising algorithm which decreasing noise and keep image detail is always research object of scientists in image processing world.
如何构造一种既能够降低图像噪声，又能够保持图像细节的去噪方法，一直是图像处理领域中理论和实践工作者的研究目标。
The third algorithm proposes a hybrid image denoising algorithm based on wavelet shrinkage and TV diffusion owing to the disadvantage of TV diffusion.
第三种算法根据全变差模型在去除噪声时的缺陷，提出了将非抽样小波和全变差模型结合起来的自适应混合去噪策略。
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。
Combined with the characteristics of seismic image noise, using multi-scale wavelet transform, presents a new adaptive wavelet threshold denoising algorithm.
结合地震图像噪声的特点，利用多尺度小波变换的优点，提出一种新的自适应小波阈值去噪算法。
This paper designed the system's overall architecture, presented implementations of hardware and software of its backbone, as well as the denoising algorithm.
本文给出了该系统的总体架构，传感器侧和上位机侧主要部分的软硬件实现方案以及关键的去噪算法。
Comparing with the adaptive denoising algorithm based on compression ratio and SVD, it avoids calculating the function of image compression ratio and its knee point.
该算法的特点是将能量最小法则和奇异值分解结合起来，在代数空间中建立了一种自适应的图像降噪算法。
The main contributions are summarized as follows:1. Proposed an integrated denoising algorithm based on mid-value filtering and wavelet transform of fingerprint image.
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。
Secondly, using locally variance estimation, a locally adaptive image-denoising algorithm was presented. Also this algorithm could be applied to the complex wavelet domain.
在实验中，将该算法分别应用到实值离散小波变换域和双树复数小波变换域，并和隐马尔科夫模型的去噪方法做了比较分析。
Speech enhancement algorithm's early work is to estimate the noise, then the noise is applied in suitable denoising algorithm, the denoising algorithm is the key of the whole.
语音增强算法的前期需要对噪声进行估计，然后将其应用到合适的去噪算法中，去噪算法是整个算法的核心部分。
Based on the analysis of the principles of noise detection and noise filtering, an effective image denoising algorithm was proposed to restore images corrupted by impulse noise.
在分析噪声检测与噪声滤波原理的基础上，提出了用于恢复被脉冲噪声污染的图像的去噪算法。
About denoising algorithm this paper researches focused on Spectral Subtraction algorithm and improved form, STSA-MMSE algorithm, using MATLAB tool to simulate these algorithms.
在去噪算法上本文重点研究了谱减法及其改进形式、STSA - MMSE去噪算法，用MATLAB工具仿真了这些算法。
In order to remove the noise efficiently and preserve the sharp features of the models, a denoising algorithm of a robust multilateral filter for point-sampled models is presented.
为了更好地去除噪声，并保持模型的突出特征，提出了一种鲁棒的点模型多边滤波器降噪算法，该算法充分考虑了模型表面的法向量、曲率等内蕴几何量和噪声之间的关系。
A new image denoising algorithm based on neighborhood statistic information and singular point detection is mentioned in this paper by researching of the character of the median filter.
介绍了中值滤波及其改进算法、分析了中值滤波的属性、提出了一种基于邻域统计和奇异点检测的中值滤波器的改进算法。
Experimental results indicate that the proposed algorithm is of excellent performance in denoising leather images, and can remove most noise of texture images with well-kept texture information.
实验结果表明，该算法对皮革图像具有较好的去噪效果，不仅可以去除纹理图像中的大部分噪声，而且可以较好地保留图像纹理信息。
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.
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。
In this paper we introduce an effective algorithm for the deblocking of the JPEG compressed images based on the denoising and edge detection in wavelet domain.
利用小波分析良好的去噪和边缘检测特性，本文提出一种减少JPEG压缩图象中方块效应的有效算法。
Examples prove that the model can reflect the character of the ultrasonic signal and noise signal correctly, and the result of the denoising using this algorithm for TA2 titanium is satisfaction.
实例分析表明，该模型能基本反映超声检测信号的特点，而且此算法对TA2钛合金超声检测信号去噪效果比较理想。
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.
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。
By using linear mask and the optimal fusion estimation, this algorithm improves the ability of edge keeping and denoising effectively, overcomes the disadvantages of the edge keeping filter.
该算法釆用线状掩模窗口和最优融合估计方法，有效地增强了边缘保持能力和去噪能力，克服了边缘保持滤波器存在的缺陷。
For more denoising, a model structure of two canal filter is analyzed in terms of the complex frequency domain (z domain), and a algorithm for denoising is developed.
用复频域(z域)分析方法分析二通道滤波器的结构模型，提出测定信噪比的算法。
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。
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。
Examples prove that the model can reflect the character of the ultrasonic signal and noise correctly, and the result of the denoising using this algorithm is satisfactory.
实例分析表明：该模型能基本反映超声检测信号的特点，而且此算法对钛合金超声检测信号去噪效果比较理想。
In view of the welding image feature of strong noise and poor stability, a fuzzy detection algorithm of welding image based on wavelet and morphology denoising was presented.
针对焊接图像噪声大、稳定性差的特点，提出了一种基于小波降噪和形态学模糊检测的算法。
In view of the welding image feature of strong noise and poor stability, a fuzzy detection algorithm of welding image based on wavelet and morphology denoising was presented.
针对焊接图像噪声大、稳定性差的特点，提出了一种基于小波降噪和形态学模糊检测的算法。
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