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Color image restoration using explicit local segmentation

conference contribution
posted on 2024-10-30, 14:59 authored by Meing Phu, Peter Tischer, Hong Ren WuHong Ren Wu
A local segmentation structure is proposed for color image denoising and restoration. Most state-of-the-art filters suppress impulse noise well but tend to destroy thin lines, edges, and high image details. The proposed filters facilitate local segmentation technique to preserve image structures and noise reduction. Firstly, the K-VMF is used for local segmentation and then the selection of vector filters for reconstruction of the current pixel. The proposed filters demonstrated acceptable results for both objective and subjective assessments.

History

Start page

589

End page

595

Total pages

7

Outlet

Proceedings of the Ninth International Conference on Knowledge-Based Intelligent Information and Engineering Systems

Editors

J. Carbonell, J. Siekmann

Name of conference

International Conference on Knowledge-Based Intelligent Information and Engineering Systems

Publisher

Springer

Place published

Berlin, Germany

Start date

2005-09-14

End date

2005-09-16

Language

English

Copyright

© 2005 Springer-Verlag

Former Identifier

2005001768

Esploro creation date

2020-06-22

Fedora creation date

2009-12-18

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