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Dictionary-learning-with-examples
- 功能：字典学习算法在计算机视觉中的应用 实现如何利用字典学习算法实现图像降噪-This is a run_file the demonstrate how to denoise an image, using dictionaries.
邻域平均法
- 基于matlab软件，利用邻域平均法对图像高斯噪声进行去噪处理。(Based on MATLAB software, the neighborhood average method is used to denoise the image Gauss noise)
BM3D
- BM3D 算法可以图像去噪。包含了视频以及图像和灰度图像的所有matlab程序。(The algorithm of BM3D in matlab can denoise the image.It is included the gray image and motion videos and color images processing program.)
70099729wavelet_denoise
- 利用小波算法实现图像去噪，包含软硬阈值去噪，中值，均值滤波等，内含图片灰度与彩色实例。以及代码文件说明、(The wavelet algorithm is used to denoise the image, including the soft and hard threshold de-noising, the median, the mean filtering and so on, including the image gray and color examples. And code
wavelet
- 运用小波变换对图像进行去噪操作，具有较好的处理效果(Wavelet transform is used to denoise the image, and it has good processing effect.)
matlab
- 本文件中代码使用前馈卷积神经网络对图像进行去噪(In this paper, we use the feedforward convolution neural network to denoise the image.)
图像去噪（matlab）
- 使用中值，均值，小波，DCT，PCA五种方法实现对图像的去噪处理。(Five methods, median, mean, wavelet, DCT and PCA, are used to denoise the image.)
retinex by two Bilateral Filters
- 基于双边滤波的retinex算法，暗光图像增强，有效去噪、提高对比度、去光晕；含论文和讲解PPT、实例代码(Retinex algorithm based on bilateral filtering can enhance dark image, effectively denoise, improve contrast and eliminate halo)
nlm
- 非局部均值（NL-means）是近年来提出的一项新型的去噪技术。该方法充分利用了图像中的冗余信息，在去噪的同时能最大程度地保持图像的细节特征。基本思想是：当前像素的估计值由图像中与它具有相似邻域结构的像素加权平均得到。(NL-means is a new denoise method. It utilized image's information, preserving detail while denoise.)
使用偏微分方程进行图像去噪
- 利用偏微分方程原理，建立二阶、四阶及TV模型对指静脉图像进行去噪处理，提升图像清晰度，以便于后续特征提取及识别。(Based on the principle of partial differential equation, the second-order, fourth-order and TV models are established to denoise the digital vein image, so as to improve the image clarity and f