Noise removal using smoothed normals and surface fitting.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 15462144.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
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.
Medical subject headings
- Algorithms
- Image Enhancement
- Image Interpretation, Computer-Assisted
- Information Storage and Retrieval
- Numerical Analysis, Computer-Assisted
- Pattern Recognition, Automated
- Subtraction Technique