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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Orchard, J. Ebrahimi, M. Wong, A. |
| Copyright Year | 2008 |
| Description | Author affiliation: Cheriton Sch. of Comput. Sci., Waterloo, ON (Orchard, J.) || Dept. of Appl. Math., Univ. of Waterloo, Waterloo, ON (Ebrahimi, M.) || Syst. Design Eng. Dept., Univ. of Waterloo, Waterloo, ON (Wong, A.) |
| Abstract | Nonlocal-means (NL-means) is an image denoising method that replaces each pixel by a weighted average of all the pixels in the image. Unfortunately, the method requires the computation of the weighting terms for all possible pairs of pixels, making it computationally expensive. Some short-cuts assign a weight of zero to any pixel pairs whose neighbourhood averages are too dissimilar. In this paper, we propose an alternative strategy that uses the SVD to more efficiently eliminate pixel pairs that are dissimilar. Experiments comparing this method against other NL-means speed-up strategies show that its refined discrimination between similar and dissimilar pixel neighbourhoods significantly improves the denoising effect. |
| Starting Page | 1732 |
| Ending Page | 1735 |
| File Size | 559826 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424417650 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2008.4712109 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise reduction Pixel Additive white noise Filters Image denoising Computer science Mathematics Design engineering Systems engineering and theory Gaussian noise SVD nonlocal-means denoising |
| Content Type | Text |
| Resource Type | Article |
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