Search - scale mixtures of Gaussians in the wavelet domain

Search - scale mixtures of Gaussians in the wavelet domain - List

[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
Update : 2008-10-13 Size : 1.31mb Publisher : pudndcy
[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,
Update : 2025-02-19 Size : 1.31mb Publisher : pudndcy
[Wavelet] ImageDenoisingBLSGSM DL : 0: 该仿真算法实现了论文Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain中图像降噪-This Algorithm utilize the method of paper "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain "
Update : 2025-02-19 Size : 1.31mb Publisher : Alex
[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).
Update : 2025-02-19 Size : 976kb Publisher : 沙天飞