Referenced Items are not available for this document.
In this work, we use partial differential equation techniques to remove noise from digital images. The removal is done in two steps. We first use a total-variation filter to smooth the normal vectors of the level curves of a noise image. After this, we try to find a surface to fit the smoothed normal vectors. For each of these two stages, the problem is reduced to a nonlinear partial differential equation. Finite difference schemes are used to solve these equations. A broad range of numerical examples are given in the paper.
Published in:
Image Processing, IEEE Transactions on
(Volume:13
,
Issue:
10
)
Date of Publication: Oct. 2004
- Page(s):
- 1345 - 1357
- ISSN :
- 1057-7149
- INSPEC Accession Number:
- 8124710
- Digital Object Identifier :
- 10.1109/TIP.2004.834662
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 03 September 2004
- Issue Date :
- Oct. 2004
- Sponsored by :
- IEEE Signal Processing Society
- PubMed ID :
- 15462144
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