Journal ArticleDOI
On the reduction of impulsive noise in multichannel image processing
Bogdan Smolka,Andrzej Chydzinski,Konrad Wojciechowski,Konstantinos N. Plataniotis,Anastasios N. Venetsanopoulos +4 more
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TLDR
The proposed method outperforms all standard algorithms for the reduction of impulsive noise in color images because it filters out the noise component while adapting itself to the local image structures.Abstract:
A new approach to the problem of impulsive-noise reduction for color images is introduced. The major advantage of the technique is that it filters out the noise component while adapting itself to the local image structures. In this way the algorithm is able to eliminate strong impulsive noise while preserving edges and fine image details. As the algorithm is a fuzzy modification of the commonly used vector median operator, it is very fast and easy to implement. Our results show that the proposed method outperforms all standard algorithms for the reduction of impulsive noise in color images. © 2001 Society of Photo-Optical Instrumenta- tion Engineers. (DOI: 10.1117/1.1367347)read more
Citations
More filters
Journal ArticleDOI
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.
Book
Image Processing Handbook, Fourth Edition
TL;DR: The Image Processing Handbook as mentioned in this paper provides an extensive collection of image processing tools, enabling the user of computer-based system to understand those methods provided in packaged software and to program additions needed for particular applications.
Journal ArticleDOI
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.
Book
The Image Processing Handbook, Fourth Edition
TL;DR: This revision of the established standard acts as a singular resource for professionals in the medical, biological, and materials sciences as well as a range of engineering venues, including electrical and computer engineering, optical engineering, telecommunications, and artificial intelligence.
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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BookDOI
Nonlinear Digital Filters
TL;DR: This chapter discusses digital filters based on order statistics, Morphological image and signal processing, and Adaptive nonlinear filters.
Journal ArticleDOI
Vector median filters
TL;DR: In this article, two nonlinear algorithms for processing vector-valued signals are introduced, called vector median operations, which are derived from two multidimensional probability density functions using the maximum-likelihood-estimate approach.
Book
Nonlinear Digital Filters : Principles and Applications
TL;DR: In this paper, the authors present a survey of algorithms and architectures for image and signal processing based on order statistics and homomorphies, including adaptive nonlinear filters and median filters.
Book
Color Image Processing and Applications
TL;DR: In this article, the authors present an introductory chapter on colour, followed by four chapters on image processing, or omit them and move directly to the final three chapters that deal with colour image analysis and coding.
Journal ArticleDOI
Order statistics in digital image processing
TL;DR: In this article, a family of nonlinear filters based on order statistics is presented, and the probabilistic and deterministic properties of the best known and most widely used filter, the median filter, are discussed.