Fuzzy Vector Partition Filtering technique for color image restoration

Ma, Z, Wu, H and Feng, D 2007, 'Fuzzy Vector Partition Filtering technique for color image restoration', Computer Vision and Image Understanding, vol. 107, no. 12, pp. 22-37.

Document type: Journal Article
Collection: Journal Articles

Title Fuzzy Vector Partition Filtering technique for color image restoration
Author(s) Ma, Z
Wu, H
Feng, D
Year 2007
Journal name Computer Vision and Image Understanding
Volume number 107
Issue number 12
Start page 22
End page 37
Total pages 16
Publisher Elsevier
Abstract A fuzzy vector partition filter is proposed for real color image restoration applications. The filter utilizes the fuzzy ranking technique in the vector partition filtering framework to address a variety of noise corruptions in natural color images. The information of the local sample spread is tracked by the fuzzy ranking through its adaptive fuzzy sample similarity function. The non-stationary statistics of the color image is overcome by partitioning the image into a finite set of underlying local image structures and by applying an optimized nonlinear filter to restore each of the partitions accordingly. The proposed filter has been evaluated using various simulated and real-life noisy images. The results achieved by the filter are comparable to the prior-art methods specially designed for the underlying noise corruption, in terms of standard objective measurements and the subjective picture quality.
Subject Artificial Intelligence and Image Processing not elsewhere classified
Keyword(s) Color image restoration
Adaptive vector filter
Vector partition filtering
Fuzzy ranking technique
Copyright notice Copyright © 2007 Elsevier Inc. All rights reserved
ISSN 1077-3142
Version Filter Type
Citation counts: Scopus Citation Count Cited 16 times in Scopus Article | Citations
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