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Halftones an input gray level image using using Fixed Thresholding, Random Noise Thresholding, Ordered Dithering, Floyd and Steinburg and Stucki Methods.
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sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresh
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基于MATLAB的小波阈值去噪方法的研究（其中包括软阈值方法，硬阈值方法，广义小波阈值函数，自适应特征阈值等方法的代码）-MATLAB-based wavelet threshold denoising (including soft-thresholding method, hard threshold method, generalized wavelet thresholding function, adaptive threshold methods such as feature co
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图像阈值分割的方法很多，但目前很难找到适用于各种场合的分割方法。本文针对实际情况对几种分割方法进行了分析比较及实验研究。在此基础上引入了遗传算法，加快了算法的收敛速度。最后将一种改进的遗传算法用于优化图像分割，取得了较好的分割效能。-Image Thresholding methods, but it is difficult to find a suitable segmentation method on various occasions. In this paper, the actua
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color image thresholding using mathematical methods like PCA
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Automatic Gray-Scale Image Thresholding methods: Tsai, Prewitt, Rosenfeld, Otsu, Kittler, Ridler.
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Accelerated Hard Thresholding Methods for Sparse
Approximation
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小波三种阈值去噪的方法，硬阈值，软阈值，半软阈值去噪-Three kinds of wavelet thresholding methods, hard threshold, soft threshold, semi-soft thresholding
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使用不同种阈值去噪方法对现有的四种信号进行去噪处理-Using different kinds of thresholding methods to the existing four signals denoising
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Gaussian的小波去噪工具箱，基于matlab-Gaussian Wavelet Denoising Matlab Toolbox
Various wavelet shrinkage and wavelet thresholding estimators, appeared in the nonparametric regression literature, are implemented in MATLAB§. These estimators arise from a wide
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小波阈值去噪的各种方法研究，包括软硬阈值函数去噪，新的阈值函数去噪-Wavelet thresholding study various methods, including hard and soft threshold function de-noising, the new threshold function de-noising
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我按这篇文章做的，广义高斯分布及其在图像去噪中的应用，没有完全做出来，谁做出来了，分享一下- The statistics of imagewavelet coefficients is non2Gaussian and can be described by generalized Gaussian
distribution (GGD). The paper investigates the issues of GGD statisticalmodel for wavelet coeffi
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基于压缩感知思想的图像分块压缩与重构方法
考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计
和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改
进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了
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The implemented Sauvola method uses integral images for fast computation of the threshold function.
The Sauvola method is described in:
J. Sauvola and M. Pietikainen, Adaptive document image binarization, Pattern Recognition 33, 2000. - ht
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Nick s binarization derives thresholding formula the basic Niblack algorithm, the parent of many local image thresholding methods. The major advantage of Nick s method over Niblack is that it considerably improves binarization for white and light pag
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FISTA
My implementation of an Fast Iterative Shrinkage Thresholding Algorithm on MATLAB. Based on the implementation discussed in:
Beck, Amir, and Marc Teboulle. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and
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谱减法的几种基本算法，动态、软、硬阈值法(Several basic algorithms for spectral subtraction, dynamic, soft and hard thresholding methods)
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