Adaptive edge enhancing technique of impulsive noise removal in color digital images
Bogdan Smolka
- pp 60-74
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TLDR
The proposed adaptive filter design is minimizing the cumulative dissimilarity measure of a cluster of pixels belonging to a sliding filtering window and outputs the most centrally located pixel, thereby suppressing impulsive noise and preserving image details and enhancing its edges.Abstract:
In this paper a novel class of noise attenuating and edge enhancing filters for color image processing is introduced and analyzed. The proposed adaptive filter design is minimizing the cumulative dissimilarity measure of a cluster of pixels belonging to a sliding filtering window and outputs the most centrally located pixel. The proposed filter is computationally efficient, easy to implement and very effective in suppressing impulsive noise, while preserving image details and enhancing its edges. Therefore it can be used in any application in which simultaneous denoising and edge enhancement is a prerequisite for further steps of the color image processing pipeline.read more
Citations
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Journal ArticleDOI
Adaptive rank weighted switching filter for impulsive noise removal in color images
TL;DR: A novel approach to the problem of impulsive noise removal in color digital images is presented, based on the rank weighted, cumulated pixel dissimilarity measures, which allows for its application in real-time applications.
Book ChapterDOI
Reduced ordering technique of impulsive noise removal in color images
Bogdan Smolka,Krystyna Malik +1 more
TL;DR: The performance comparison shows that the proposed filtering design yields significantly better denoising results than the most efficient filters developed for the impulsive noise suppression in color images.
Journal ArticleDOI
Fuzzy 3D filter for color video sequences contaminated by impulsive noise
TL;DR: A novel fuzzy 3D filter designed to suppress impulsive noise in color video sequences is proposed, which employs the sequence data of the three RGB channels, analyzes eight fuzzy gradient values for each of the eight directions, and processes two temporal neighboring frames concurrently.
Proceedings ArticleDOI
Removal of impulse noise clusters from color images with local order statistics
TL;DR: The proposed noise removal algorithm consists of detection of bulky impulse noise in three color channels with local order statistics followed by removal of the detected clusters by means of vector median filtering.
Proceedings ArticleDOI
Soft Switching Technique for Impulsive Noise Removal in Color Images
TL;DR: The new noise filtering design, due to its simple structure and very low computational complexity, can be applied in various applications in which the detail preserving impulsive noise reduction is required.
References
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Book
Handbook of Image and Video Processing
TL;DR: The Handbook of Image and Video Processing contains a comprehensive and highly accessible presentation of all essential mathematics, techniques, and algorithms for every type of image and video processing used by scientists and engineers.
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.