Fast Adaptive Bilateral Filtering with Fixed Parameters for Sharpness Enhancement and Noise Reduction

Abstract

In this paper, based on Chaudhury's fast O(1) bilateral filtering (FBF) and the shift-variant technique, we present a fast adaptive bilateral filtering (FABF) for sharpness enhancement and noise removal with good computational efficiency. FABF sharpens an image by increasing the slope of the edges without producing overshoot or undershoot. Compared with FBF, FABF-restored images are significantly sharper. Compared with adaptive bilateral filter (ABF), FABF shows a similar performance in terms of noise removal and sharpness enhancement, while the execution time of FABF is substantially shorter than that of ABF.