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Proceedings ArticleDOI

Extended permutation filters and their application to edge enhancement

Russell C. Hardie, +1 more
- Vol. 4, pp 2375-2378
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TLDR
This paper shows that the EPRS filters can be designed to have excellent edge enhancement characteristics and can perform edge enhancement in the presence of noise making them a powerful filter class.
Abstract
Extended permutation (EP) filters are defined and analyzed in this paper. In particular, we focus on extended permutation rank selection (EPRS) filters. These filters are constrained to output an order statistic from an extended observation vector. This extended vector includes N observation samples and K statistics that are functions of the observation samples. By selecting an appropriate extended observation space, we show that the EPRS filters can be designed to have excellent edge enhancement characteristics. Moreover, the EPRS filters can perform edge enhancement in the presence of noise making them a powerful filter class.

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Citations
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Proceedings ArticleDOI

Hit-noise reduction in portal images: a comparison between wavelet- and rank-order-based methods

TL;DR: In this article, a real-time portal imager with an x-ray-to-light converter and a CCD sensor was investigated, where wavelet-based and rank-order based filtering algorithms were applied to remove the direct hit artifacts.

The use of edge-enhancing smoothing pre-filters to aid in the detection of oceanic features

TL;DR: In this article, image pre-processing techniques based on the use of edge-enhancing smoothing nonlinear filters improve the detection of oceanic features by enhancing diffuse edges and removing scattered clouds present in SST imagery.
References
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Journal ArticleDOI

Center weighted median filters and their applications to image enhancement

TL;DR: The center weighted median (CWM) filter as discussed by the authors is a weighted median filter that gives more weight only to the central value of each window, which can preserve image details while suppressing additive white and/or impulsive-type noise.
Journal Article

Stack filters

TL;DR: This investigation of the properties of stack filters produces several new, useful, and easily implemented filters, including two which are named asymmetric median filters.
Journal ArticleDOI

A New Class of Detail-Preserving Filters for Image Processing

TL;DR: Analysis and examples indicate that FIR-median hybrid filters preserve details better and are computationally much more efficient than the conventional median and the K-nearest neighbor averaging filters.
Journal ArticleDOI

Analysis of the properties of median and weighted median filters using threshold logic and stack filter representation

TL;DR: The authors present a method to find the weighted median filter which is equivalent to a stack filter defined by a positive Boolean function, which allows expression of the cascade of WM filters as a single WM filter.
Journal ArticleDOI

Detail-preserving ranked-order based filters for image processing

TL;DR: A quantitative and qualitative comparison of the multistage filters and of other efficient detail-preserving filters is presented and the comparisons are made using the mean-squared-error and themean-absolute-error criteria.