ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

FAST BILATERAL FILTERING OF VECTOR-VALUED IMAGES

Ghosh, Sanjay and Chaudhury, Kunal N (2016) FAST BILATERAL FILTERING OF VECTOR-VALUED IMAGES. In: 23rd IEEE International Conference on Image Processing (ICIP), SEP 25-28, 2016, Phoenix, AZ, pp. 1823-1827.

[img] PDF
IEEE_ICIP_1823_2016.pdf - Published Version
Restricted to Registered users only

Download (804kB) | Request a copy
Official URL: http://dx.doi.org/10.1109/ICIP.2016.7532673

Abstract

In this paper, we consider a natural extension of the edge-preserving bilateral filter for vector-valued images. The direct computation of this non-linear filter is slow in practice. We demonstrate how a fast algorithm can be obtained by first approximating the Gaussian kernel of the bilateral filter using raised-cosines, and then using Monte Carlo sampling. We present simulation results on color images to demonstrate the accuracy of the algorithm and the speedup over the direct implementation.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Depositing User: Id for Latest eprints
Date Deposited: 31 Jan 2017 05:31
Last Modified: 31 Jan 2017 05:31
URI: http://eprints.iisc.ac.in/id/eprint/56140

Actions (login required)

View Item View Item