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Venkatesh, Manasij and Seelamantula, Chandra Sekhar (2015) DIRECTIONAL BILATERAL FILTERS. In: 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), APR 19-24, 2014, Brisbane, AUSTRALIA, pp. 1578-1582.

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Official URL: http://dx.doi.org/10.1117/12.2212595


We propose a bilateral filter with a locally controlled domain kernel for directional edge-preserving smoothing. Traditional bilateral filters use a range kernel, which is responsible for edge preservation, and a fixed domain kernel that performs smoothing. Our intuition is that orientation and anisotropy of image structures should be incorporated into the domain kernel while smoothing. For this purpose, we employ an oriented Gaussian domain kernel locally controlled by a structure tensor. The oriented domain kernel combined with a range kernel forms the directional bilateral filter. The two kernels assist each other in effectively suppressing the influence of the outliers while smoothing. To find the optimal parameters of the directional bilateral filter, we propose the use of Stein's unbiased risk estimate (SURE). We test the capabilities of the kernels separately as well as together, first on synthetic images, and then on real endoscopic images. The directional bilateral filter has better denoising performance than the Gaussian bilateral filter at various noise levels in terms of peak signal-to-noise ratio (PSNR).

Item Type: Conference Proceedings
Series.: International Conference on Acoustics Speech and Signal Processing ICASSP
Publisher: IEEE
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords: Bilateral filter; anisotropic filter; structure tensor; edge-preserving smoothing; image denoising; SURE
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 19 Aug 2016 09:13
Last Modified: 19 Aug 2016 09:13
URI: http://eprints.iisc.ac.in/id/eprint/54287

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