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Proceedings Paper

Image restoration by a neural network with hierarchical clustered architecture
Author(s): Ling Guan
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Paper Abstract

This paper proposes a novel image restoration approach by a neural network with hierarchical clustered architecture (NNHCA). The method is motivated by a universally accepted concept in digital image processing that natural image formation is a local process, and treats image restoration also as a globally coordinated local process. The image restoration based on the local model is realized by NNHCA, one of the recently emerged neural networks with sophisticated architectures. In the application of restoration, NNHCA consists of four processing levels. The zeroth level represents individual processing units. The first level simulates optimization process which governs local restoration. The second level acts as a link for information exchange between local clusters in the first level. And the third level coordinates the completes process.

Paper Details

Date Published: 8 April 1993
PDF: 12 pages
Proc. SPIE 1903, Image and Video Processing, (8 April 1993); doi: 10.1117/12.143142
Show Author Affiliations
Ling Guan, Univ. of Sydney (Australia)


Published in SPIE Proceedings Vol. 1903:
Image and Video Processing
Majid Rabbani; M. Ibrahim Sezan; A. Murat Tekalp, Editor(s)

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