Digital Image Denoising by Adaptive Median Filtering and Wavelet Transform
| Autor: | Peter Sharlandjiev, Dimana Nazarova, Nataliya Berberova |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 4 (2014) |
| Druh dokumentu: | article |
| ISSN: | 1314-4006 2535-0366 |
| DOI: | 10.55630/dipp.2014.4.25 |
| Popis: | Digital image processing is an important area of preservation and representation of cultural and historical objects. Part of it is the task of cleaning images corrupted by noise. Many different methods and approaches have been successfully implemented, but still filtering and denoising techniques are developing and improving intensively. Herein, we report numeric simulations of 2D image filtering. Effects of impulse noise are very efficiently reduced by adaptive median filtering. The situation of additive noise, which itself depends on the intensity of the original image, is more complicated. However, we demonstrate that in this case the use of wavelet transforms in the denoising procedure is very productive and promising. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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