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.
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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 |
|---|---|
| Series.: | IEEE International Conference on Image Processing ICIP |
| 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 |
| Date Deposited: | 31 Jan 2017 05:31 |
| Last Modified: | 31 Jan 2017 05:31 |
| URI: | http://eprints.iisc.ac.in/id/eprint/56140 |
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