The wavelet subband coefficients of images have highly non Gaussian statistics that may be modeled with generalized Laplacian distributions, and Bayesian estimation is used to suppress noise.
图像的小波系数具有很强的非高斯统计特性,可以建立推广的拉普拉斯先验分布,用贝叶斯估计对图像小波系数滤波来达到降噪目的。
The results of the tests show that the generalized Gaussian model is better than the Laplacian model in portraying the distribution of the AC DCT coefficients.
检验结果表明,广义高斯模型比拉普拉斯模型更准确地反映了DCT交流系数的分布。
The conventional complex diffusion algorithm uses the iterative imaginary part(Laplacian of the Gaussian kernel) to control the diffusion process.
图像的复扩散是图像增强的一种有效方法。
There is no consensus on the distribution of the AC DCT coefficients till now. In this work, the generalized Gaussian model and the Laplacian model, which are used most widely, were studied.
针对离散余弦变换(DCT)系数分布模型类型存在的异议,研究并比较了拉普拉斯模型和广义高斯模型。
There is no consensus on the distribution of the AC DCT coefficients till now. In this work, the generalized Gaussian model and the Laplacian model, which are used most widely, were studied.
针对离散余弦变换(DCT)系数分布模型类型存在的异议,研究并比较了拉普拉斯模型和广义高斯模型。
应用推荐