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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
An algorithm of SAR image denoising in nonsubsampled contourlet transform (NSCT) domain based on maximum a posteriori (MAP) and non-local (NL) restriction is proposed.
提出一种基于最大后验和非局域约束的非下采样轮廓波变换域SAR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。
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。
So this dissertation aims at systematical study on the theory and the algorithm of image denoising, which emphasizes thorough research of some key techniques and profound exploration of some problems.
因此本文对图像去噪的理论和方法做了系统的研究，并对其中的一些关键技术和问题进行了较为深入的探索。
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。
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.
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。
Experimental results show that the APNACM algorithm is fast and effective, and can be used as a powerful denoising tool for jacquard fabrics image.
实验结果表明，该算法能够对提花织物图像进行快速去噪，且去噪效果很好。
In the image pre-processing, we produces an improved multi-weighted filter algorithm which has a better denoising result with a variety of filtering algorithms.
在图像预处理中，针对图像采集过程中产生的噪声问题，结合多种中值滤波算法，得出一种改进的多级加权滤波算法。
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。
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。
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。
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。
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