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[Special Effects] denoise1 DL : 0: 领域滤波算法降噪源码，输入输出的是.bin格式的源文件，也可以把后缀去掉，总之就是裸数据，float型的。可以有效抑制图像噪声-Areas of source noise filtering algorithm, the input and output. Bin format source file, the suffix can also be removed, a word that is the bare data, float type. Can effectively suppress image noise
Update : 2025-02-19 Size : 1kb Publisher : 李保磊
[Special Effects] image-compress-denoise DL : 0: 图像压缩去噪增强锐化程序，供大家参考。包括：数字图像矩阵数据的显示及其傅立叶变换二维离散余弦变换的图像压缩采用灰度变换的方法增强图像的对比度采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波图像的自适应魏纳滤波运用5种不同的梯度增强法进行图像锐化图像的高通滤波和掩模处理利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理-Sharpen Image Compression Denoising enhanced procedures for your reference. Include: digital image data display matrix and its Fourier transform two-dimensional discrete cosine transform image compression method using gray-scale transformation of the contrast-enhanced images using two-dimensional median filter function by medfilt2 of salt and pepper noise image filtering using MATLAB The function affected by noise interference filter2 images mean filter Adaptive Image Filtering Wehner use five kinds of different gradient method to enhance image sharpening images of high-pass filtering and mask treatment using Butterworth (Butterworth) low pass filter noise by smoothing the images deal with the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment
Update : 2025-02-19 Size : 11kb Publisher : 张悦庭
[matlab] testnonlocalmean DL : 0: 这是一个非局部均值算法实现工具和相关实验数据，主要用来实现图像增强和降噪应用-This is a non-local means algorithm to achieve the tools and related experimental data, mainly used for image enhancement and noise reduction application
Update : 2025-02-19 Size : 1kb Publisher : wang yiren
[matlab] 61549835image-compress-denoise DL : 0: 图像压缩去噪增强锐化程序，供大家参考。包括：数字图像矩阵数据的显示及其傅立叶变换二维离散余弦变换的图像压缩采用灰度变换的方法增强图像的对比度采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波图像的自适应魏纳滤波运用5种不同的梯度增强法进行图像锐化图像的高通滤波和掩模处理利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理--Sharpen Image Compression Denoising enhanced procedures for your reference. Include: digital image data display matrix and its Fourier transform two-dimensional discrete cosine transform image compression method using gray-scale transformation of the contrast-enhanced images using two-dimensional median filter function by medfilt2 of salt and pepper noise image filtering using MATLAB The function affected by noise interference filter2 images mean filter Adaptive Image Filtering Wehner use five kinds of different gradient method to enhance image sharpening images of high-pass filtering and mask treatment using Butterworth (Butterworth) low pass filter noise by smoothing the images deal with the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment
Update : 2025-02-19 Size : 11kb Publisher : chen peilin
[Special Effects] 200503-95 DL : 0: 为了弥补传统中值滤波器在进行图像降噪处理中的不足,在图像降噪技术中应用了自适应中值滤波器。文中重点介绍了自适应中值滤波器的工作原理并在Matlab平台上进行了仿真试验，与传统中值滤波器进行了比较,计算机仿真结果表明在对密度较大的椒盐噪声进行滤波时,自适应中值滤波较传统中值滤波具有较大的优越性。-To remedy disadvantage of traditional median filtering algorithms in image denoise ,adaptive median filter is introduced and applied to image denoise. Key technology in actual uses is analyzed and is implemented in Matlab platform.Compared with traditional median filter , the computer simulation results show that when used to filter image with the higher level of noise , adaptive median filter is preferable to traditional median filter.
Update : 2025-02-19 Size : 1.11mb Publisher : 王黎
[matlab] decomp_reconst DL : 0: Decompose image into subbands, denoise, and recompose again. fh = decomp_reconst(fn,Nsc,Nor,block,noise,parent) Javier Portilla, Univ. de Granada, 5/02 Last revision: 11/04-Decompose image into subbands, denoise, and recompose again. fh = decomp_reconst(fn,Nsc,Nor,block,noise,parent) Javier Portilla, Univ. de Granada, 5/02 Last revision: 11/04
Update : 2025-02-19 Size : 1kb Publisher : ali
[matlab] decomp_reconst_full DL : 0: Decompose image into subbands, denoise, and recompose again. fh = decomp_reconst(im,Nsc,Nor,block,noise,parent,covariance,optim,sig) covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Version using the Full steerable pyramid (2) (High pass residual splitted into orientations). JPM, Univ. de Granada, 5/02 Last Revision: 11/04 - Decompose image into subbands, denoise, and recompose again. fh = decomp_reconst(im,Nsc,Nor,block,noise,parent,covariance,optim,sig) covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Version using the Full steerable pyramid (2) (High pass residual splitted into orientations). JPM, Univ. de Granada, 5/02 Last Revision: 11/04
Update : 2025-02-19 Size : 1kb Publisher : ali
[matlab] decomp_reconst_W DL : 0: Decompose image into subbands, denoise using BLS-GSM method, and recompose again. fh = decomp_reconst(im,Nsc,filter,block,noise,parent,covariance,optim,sig) im: image Nsc: number of scales filter: type of filter used (see namedFilters) block: 2x1 vector indicating the dimensions (rows and columns) of the spatial neighborhood noise: signal with the same autocorrelation as the noise parent: include (1) or not (0) a coefficient from the immediately coarser scale in the neighborhood covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Version using a critically sampled pyramid (orthogonal wavelet), as implemented in MatlabPyrTools (Eero). JPM, Univ. de Granada, 3/03- Decompose image into subbands, denoise using BLS-GSM method, and recompose again. fh = decomp_reconst(im,Nsc,filter,block,noise,parent,covariance,optim,sig) im: image Nsc: number of scales filter: type of filter used (see namedFilters) block: 2x1 vector indicating the dimensions (rows and columns) of the spatial neighborhood noise: signal with the same autocorrelation as the noise parent: include (1) or not (0) a coefficient from the immediately coarser scale in the neighborhood covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Version using a critically sampled pyramid (orthogonal wavelet), as implemented in MatlabPyrTools (Eero). JPM, Univ. de Granada, 3/03
Update : 2025-02-19 Size : 1kb Publisher : ali
[matlab] decomp_reconst_WU DL : 0: Decompose image into subbands (undecimated wavelet), denoise, and recompose again. fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig) im : image Nsc: Number of scales daub_order: Order of the daubechie fucntion used (must be even). block: size of neighborhood within each undecimated subband. noise: image having the same autocorrelation as the noise (e.g., a delta, for white noise) parent: are we including the coefficient at the central location at the next coarser scale? covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Javier Portilla, Univ. de Granada, 3/03 Revised: 11/04 - Decompose image into subbands (undecimated wavelet), denoise, and recompose again. fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig) im : image Nsc: Number of scales daub_order: Order of the daubechie fucntion used (must be even). block: size of neighborhood within each undecimated subband. noise: image having the same autocorrelation as the noise (e.g., a delta, for white noise) parent: are we including the coefficient at the central location at the next coarser scale? covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Javier Portilla, Univ. de Granada, 3/03 Revised: 11/04
Update : 2025-02-19 Size : 1kb Publisher : ali
[matlab] denoise DL : 0: 图像加噪和去噪代码，读取图像数据，产生噪声图像，使用sym4小波进行三层分解-Images with noise and denoising code, read the image data, image noise, the use of three wavelet decomposition sym4
Update : 2025-02-19 Size : 1kb Publisher : 陈治
[matlab] Noise_Denoise DL : 0: Matlab Code for making simple noise to image and denoise the image with some good filters
Update : 2025-02-19 Size : 1kb Publisher : andereasmehdi
[Special Effects] speckle-denoise DL : 0: 医学超声图像滤波必看：针对斑点噪声的几种滤波算法的经典论文。包括Lee的滤波算法，Frost的滤波算法，Kuan的滤波算法，MAP（Maxima a priority）的滤波算法。-Medical ultrasound image filtering must-see: a classic paper several filtering algorithm for speckle noise. Including the filtering algorithm of Lee and Frost filtering algorithm, Kuan filter algorithm, MAP (Maxima a priority) filtering algorithm.
Update : 2025-02-19 Size : 22.68mb Publisher : 高海
[Documents] denoise DL : 0: Denoising Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with a-priori known (or estimated) noise power (variance). The fidelity term to the input image is calculated automatically so that the power of the noise is reduced.
Update : 2025-02-19 Size : 3kb Publisher : ali
[Documents] denoise-matlab-new DL : 0: Denoising Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with priori known (or estimated) noise power (variance). The fidelity term to the input image is calculated automatically so that the power of the noise is reduced.
Update : 2025-02-19 Size : 3kb Publisher : ali
[Special Effects] Denoise DL : 0: 数字图像去除噪声，提高图像质量，得到相对理想的图片。-Digital image to remove noise, and improving image quality, obtain relatively satisfactory images.
Update : 2025-02-19 Size : 4.65mb Publisher : 范文浩
[Special Effects] denoise DL : 0: 1.向图像中添加各类常见噪声 2.实现图像的均值滤波和中值滤波 3.形态学滤波、小波滤波、高斯滤波-1 image added to two common types of noise. Achieve average filtering and median filtering the image 3. Morphological filtering, wavelet filtering, Gaussian filtering
Update : 2025-02-19 Size : 137kb Publisher : ljq
[Wavelet] DENOISE DL : 0: 几种针对图像去噪的代码，去椒盐，去高斯，去乘性噪声-Several code for image de-noising, salt and pepper, to Gauss, to multiplicative noise
Update : 2025-02-19 Size : 3kb Publisher : 金士盛
[Industry research] image-denoising-techniquesy DL : 0: a research based study on various image noise filters and denoise techniques
Update : 2025-02-19 Size : 167kb Publisher : vaibhav
[Special Effects] denoise DL : 0: matlab实现图像去噪，滤波，边缘检测，锐化。文件中包含m码和程序中使用到的图片。对图像添加椒盐噪声并用medfilt2函数去噪。二阶巴特沃斯滤波器滤波。-matlab realize image denoising, filtering, edge detection, sharpening. M file contains code and procedures used to the picture. Add salt and pepper noise image with medfilt2 denoising function. Second-order Butterworth filter filtering.
Update : 2025-02-19 Size : 7kb Publisher : Lisa
[Graph program] auto-adapt-image-denoise DL : 0: 主要是自动去除摄像机本身传感器产生的高斯噪声和图像传输过程中引入的椒盐噪声-Mainly automatic removal of Gaussian noise and the image transfer process generated by the sensor in the camera itself introduced pepper noise
Update : 2025-02-19 Size : 765kb Publisher : 李敏

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