Color image processing using adaptive vector directional filters
TLDR
A new class of filters for multichannel image processing is introduced, which constitutes a generalization of vector directional filters that use fuzzy transformations of the angles among the different vectors to adapt to local data in the image.Abstract:
A new class of filters for multichannel image processing is introduced and analyzed. This class constitutes a generalization of vector directional filters. The proposed filters use fuzzy transformations of the angles among the different vectors to adapt to local data in the image. The principle behind the new filters is explained and comparisons with other popular nonlinear filters are provided. The specific case of color image processing is studied as an important example of multichannel image processing. Simulation results indicate that the new filters offer some flexbility and have excellent performance.read more
Citations
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Adaptive vector median filtering
TL;DR: A new adaptive vector median filtering scheme taking the advantage of the optimal filtering situation and the robust order-statistic theory, is provided, based on the set of vector-valued order-Statistics with the smallest distances to other samples in the input set.
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Fast detection and impulsive noise removal in color images
Bogdan Smolka,Andrzej Chydzinski +1 more
TL;DR: The proposed technique employs the switching scheme based on the impulse detection mechanism using the so-called peer group concept and consistently yields very good results in suppressing both the random and fixed-valued impulsive noise.
Journal ArticleDOI
Adaptive fuzzy systems for multichannel signal processing
TL;DR: A general formulation based on fuzzy concepts is presented, which allows the use of adaptive weights in the filtering structure, and the strong potential of fuzzy adaptive filters for multichannel signal applications, such as color image processing, is illustrated with several examples.
Journal ArticleDOI
Adaptive Color Image Filtering Based on Center-Weighted Vector Directional Filters
TL;DR: By varying the center weight, the proposed CWVDF framework can provide the smoothing characteristics ranging from an identity operation to that of the BVDF, which removes impulses and outliers from the image while simultaneously preserving the structural information.
References
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