Adaptive bilateral filtering for image denoising
Esmat Farzana, Mehbuba Tanzid, K. M. Mohsin, M. I. H. Bhuiyan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
In this paper, an adaptive approach for bilateral filtering, based on estimation of the range filtering parameter using homogeneity measurements is introduced for image denoising. For each pixel, the homogeneity measurement is performed utilizing its local neighbors considering different directions, and the range parameter is estimated from the variance of the most homogeneous blocks. In order to reduce the residual noise, the filtering operation is carried out in an iterative manner. A stopping criterion using the structural similarity index is provided. Experiments are carried out using various standard images and the results show that the proposed method is more effective in reducing additive white Gaussian noise as compared to several recently introduced denoising techniques in terms of the peak signal-to-noise ratio and structural similarity index with a reduced computational requirement.