Zhang Ming, Gunturk Bahadir K
Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.
IEEE Trans Image Process. 2008 Dec;17(12):2324-33. doi: 10.1109/TIP.2008.2006658.
The bilateral filter is a nonlinear filter that does spatial averaging without smoothing edges; it has shown to be an effective image denoising technique. An important issue with the application of the bilateral filter is the selection of the filter parameters, which affect the results significantly. There are two main contributions of this paper. The first contribution is an empirical study of the optimal bilateral filter parameter selection in image denoising applications. The second contribution is an extension of the bilateral filter: multiresolution bilateral filter, where bilateral filtering is applied to the approximation (low-frequency) subbands of a signal decomposed using a wavelet filter bank. The multiresolution bilateral filter is combined with wavelet thresholding to form a new image denoising framework, which turns out to be very effective in eliminating noise in real noisy images. Experimental results with both simulated and real data are provided.
双边滤波器是一种非线性滤波器，它在不使边缘模糊的情况下进行空间平均；它已被证明是一种有效的图像去噪技术。双边滤波器应用中的一个重要问题是滤波器参数的选择，这对结果有显著影响。本文有两个主要贡献。第一个贡献是对图像去噪应用中最优双边滤波器参数选择的实证研究。第二个贡献是双边滤波器的扩展：多分辨率双边滤波器，其中双边滤波应用于使用小波滤波器组分解的信号的近似（低频）子带。多分辨率双边滤波器与小波阈值处理相结合，形成了一个新的图像去噪框架，该框架在消除真实噪声图像中的噪声方面非常有效。文中给出了模拟数据和真实数据的实验结果。
