A Volterra type model for image processing.
basic_science · Level V
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- Record sourced from PubMed, PMID 18276249.
- Also identified by DOI 10.1109/83.661179.
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Abstract
We present a class of time-delay anisotropic diffusion models for image restoration. These models lead to asymptotic states that are selected on the basis of a contrast parameter and bear some analogy with neural networks with Hebbian dynamical learning rules. Numerical examples show that these models are efficient in removing even high levels of noise, while allowing an accurate tracking of the edges.