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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sage, D. Unser, M. |
| Copyright Year | 1992 |
| Abstract | Edge-preserving smoothers need not be taxed by a severe computational cost. We present, in this paper, a lean algorithm that is inspired by the bi-exponential filter and preserves its structure—a pair of one-tap recursions. By a careful but simple local adaptation of the filter weights to the data, we are able to design an edge-preserving smoother that has a very low memory and computational footprint while requiring a trivial coding effort. We demonstrate that our filter (a bi-exponential edge-preserving smoother, or BEEPS) has formal links with the traditional bilateral filter. On a practical side, we observe that the BEEPS also produces images that are similar to those that would result from the bilateral filter, but at a much-reduced computational cost. The cost per pixel is constant and depends neither on the data nor on the filter parameters, not even on the degree of smoothing. |
| Sponsorship | IEEE Signal Processing Society |
| Page Count | 13 |
| File Size | 2207962 |
| Starting Page | 3924 |
| Ending Page | 3936 |
| File Format | |
| ISSN | 10577149 |
| Volume Number | 21 |
| Issue Number | 9 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Acceleration Image edge detection Smoothing methods Quantization Noise reduction Materials Computational efficiency recursive filter Bi-exponential filter bilateral filter nonlocal means |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Software |
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