Open AccessBook
Nonlinear Digital Filters : Principles and Applications
TLDR
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.Abstract:
1. Introduction.- 2. Statistical preliminaries.- 3. Image formation.- 4. Median filters.- 5. Digital filters based on order statistics.- 6. Morphological image and signal processing.- 7. Homomorphie filters.- 8. Polynomial filters.- 9. Adaptive nonlinear filters.- 10. Generalizations and new trends.- 11. Algorithms and architectures.read more
Citations
More filters
Journal ArticleDOI
A review of vessel extraction techniques and algorithms
Cemil Kirbas,Francis Quek +1 more
TL;DR: This work has mainly targeted the extraction of blood vessels, neurosvascular structure in particular, but has also reviewed some of the segmentation methods for the tubular objects that show similar characteristics to vessels.
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Progressive switching median filter for the removal of impulse noise from highly corrupted images
Zhou Wang,David Zhang +1 more
TL;DR: In this paper, a progressive switching median (PSM) filter is proposed to restore images corrupted by salt-pepper impulse noise, where an impulse detection algorithm is used before filtering, thus only a proportion of all the pixels will be filtered; and progressive methods are progressively applied through several iterations.
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Reduced-order modeling: new approaches for computational physics
TL;DR: In this paper, the authors review the development of new reduced-order modeling techniques and discuss their applicability to various problems in computational physics, including aerodynamic and aeroelastic behaviors of two-dimensional and three-dimensional geometries.
Journal ArticleDOI
A new impulse detector for switching median filters
Shuqun Zhang,Mohammad A. Karim +1 more
TL;DR: A new impulse noise detection technique for switching median filters is presented, which is based on the minimum absolute value of four convolutions obtained using one-dimensional Laplacian operators, and is directed toward improved line preservation.
Journal ArticleDOI
A New Fast and Efficient Decision-Based Algorithm for Removal of High-Density Impulse Noises
K.S. Srinivasan,D. Ebenezer +1 more
TL;DR: A new decision-based algorithm is proposed for restoration of images that are highly corrupted by impulse noise that removes the noise effectively even at noise level as high as 90% and preserves the edges without any loss up to 80% of noise level.