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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Buades, A. Coll, B. Morel, J.-M. |
| Copyright Year | 1992 |
| Abstract | Many classical image denoising methods are based on a local averaging of the color, which increases the signal/noise ratio. One of the most used algorithms is the neighborhood filter by Yaroslavsky or sigma filter by Lee, also called in a variant "SUSAN" by Smith and Brady or "Bilateral filter" by Tomasi and Manduchi. These filters replace the actual value of the color at a point by an average of all values of points which are simultaneously close in space and in color. Unfortunately, these filters show a "staircase effect," that is, the creation in the image of flat regions separated by artifact boundaries. In this paper, we first explain the staircase effect by finding the subjacent partial differential equation (PDE) of the filter. We show that this ill-posed PDE is a variant of another famous image processing model, the Perona-Malik equation, which suffers the same artifacts. As we prove, a simple variant of the neighborhood filter solves the problem. We find the subjacent stable PDE of this variant. Finally, we apply the same correction to the recently introduced NL-means algorithm which had the same staircase effect, for the same reason. |
| Sponsorship | IEEE Signal Processing Society |
| Page Count | 7 |
| File Size | 1632887 |
| Starting Page | 1499 |
| Ending Page | 1505 |
| File Format | |
| ISSN | 10577149 |
| Volume Number | 15 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image restoration Colored noise Low pass filters Nonlinear equations Image denoising Signal to noise ratio Image processing Filtering algorithms Digital filters Difference equations restoration Nonlinear filtering and enhancement |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Software |
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