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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
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