Search - BLS-GSM

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[Graph program] BLS-GSM_Denoising DL : 0: BLS-GSM 即\"Bayesian Least Squares - Gaussian Scale Mixture\".基于贝叶斯最小平方-高斯概率混合模型的算法。用于图像去噪。相关文献索引详见readme
Date : 2008-10-13 Size : 1.34mb User : 戴宏斌
[SourceCode] 基于BLS-GSM的图像去噪程序 DL : 0: 基于BLS-GSM的图像去噪程序，在去噪的同时，能更多地保留图像的边缘和细节
Date : 2011-09-08 Size : 1.34mb User : 369446127@qq.com
[matlab] DeNoising DL : 0: 随机信号处理中的经典去噪算法集合，有很多非常好的算法，值得研究。-Random signal processing Denoising Algorithm classic collection, there are many very good algorithms, is worth studying.
Date : 2025-07-11 Size : 25kb User : 牟建超
[Graph program] BLS-GSM_Denoising DL : 0: BLS-GSM 即"Bayesian Least Squares - Gaussian Scale Mixture".基于贝叶斯最小平方-高斯概率混合模型的算法。用于图像去噪。相关文献索引详见readme-BLS-GSM or
Date : 2025-07-11 Size : 1.34mb User : 戴宏斌
[Special Effects] BLS-GSM_Denoising DL : 0: 现在在所有图像去噪滤波中最较理想的去噪算法——Bayesian Least Squares - Gaussian Scale Mixture的matlab实现代码，应用丰富，与商用图像处理软件媲美，其原理可以参见J Portilla, V Strela, M Wainwright, E P Simoncelli, "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain-Now image denoising filter in all the most better denoising algorithm- Bayesian Least Squares- Gaussian Scale Mixture realize the matlab code, application-rich, with the commercial image processing software rival, and its principle can be found in J Portilla, V Strela, M Wainwright, EP Simoncelli,
Date : 2025-07-11 Size : 1.31mb User : pudndcy
[Algorithm] BLS-GSM_Denoising DL : 0: 基于小波域隐马尔可夫模型的图像降噪，性能最好的图像降噪程序。 -Based on wavelet-domain Hidden Markov Model of image noise, the performance of the best image noise reduction procedures.
Date : 2025-07-11 Size : 1.34mb User : 蒲秀娟
[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
Date : 2025-07-11 Size : 1kb User : 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
Date : 2025-07-11 Size : 1kb User : 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
Date : 2025-07-11 Size : 1kb User : ali
[Special Effects] Denoising-3-in-1 DL : 0: 去噪算法matlab源码三合一，包含BLS-GSM，BM3D，NLM-Denosing algorithms 3 in 1, include BLS-GSM+ BM3D+ NLM
Date : 2025-07-11 Size : 6.4mb User : deqiang
[Special Effects] Denoise-Methods DL : 1: 程序实现了三种去噪算法：BLS-GSM/BM3D/NLM，评价指标为PSNR/SSIM.-Program implements three de-noising algorithm: BLS-GSM/BM3D/NLM, with evaluation of PSNR/SSIM.
Date : 2025-07-11 Size : 7.99mb User : df
[Special Effects] BLS-GSM DL : 0: BLS-GSM代表“Bayesian Least Squares - Gaussian Scale Mixture(贝叶斯最小二乘-高斯尺度混合模型)”。这个工具箱实现了该篇论文中介绍的算法： J Portilla, V Strela, M Wainwright, E P Simoncelli, Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain, IEEE Transactions on Image Processing. vol 12, no. 11, pp. 1338-1351, November 2003 这个工具箱进行图像去噪时，假定噪声类型为高斯噪声并且我们知道它的功率谱密度（不需要是白色的）。-BLS-GSM stands for Bayesian Least Squares- Gaussian Scale Mixture . This toolbox implements the algorithm described in: J Portilla, V Strela, M Wainwright, E P Simoncelli, Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain, IEEE Transactions on Image Processing. vol 12, no. 11, pp. 1338-1351, November 2003 This tool implements image denoising assuming that the noise is Gaussian, and that we know its power spectral density (it does not need to be white).
Date : 2025-07-11 Size : 976kb User : 沙天飞
[3D Graphic] BM3Da DL : 0: BLS_GSM算法的matlab版源代码，实现图像去噪，去噪效果非常好，程序完整，能运行-BLS GSM algorithm matlab version of the source code to achieve denoising, denoising effect is very good, complete procedures, can run
Date : 2025-07-11 Size : 489kb User : 刘宁宁