A fast implementation of improved bilateral filter based on ascending dimension
Huang Jing · Journal of Circuits and Systems · 2013
The bilateral filter is a nonlinear filter which smoothes an image signal for denoising while preserving edges and details.This paper presents a fast approximate algorithm of an improved growth-dimensional bilateral filtering,to overcome problems of large computational complexity and difficult for real-time systems.The algorithm starts with linearization for system of bilateral filter and the image matrix mapping,so that the filter can form linear convolutions through FFT.In a next step,the above calculation will be restored to the image matrix by inverse mapping.Finally,all pixels fill values in accordance with the difference of the coordinates and grayscale of the original image,to achieve the purpose of achieving important acceleration of the bilateral filter.Experimental which five images are tested at different noise levels proved that the method improves the computational efficiency due to interpolation can be avoided.The running time of improved bilateral filter is 3.6% of traditional bilateral filter,while the filtering accuracy is close to the traditional bilateral filter.