Proceedings ArticleDOI
Image denoising using adaptive switching median filter
Vladimir Khryashchev,Andrey Priorov,Ilia V. Apalkov,Pavel S. Zvonarev +3 more
- Vol. 1, pp 117-120
TLDR
A new adaptive switching median filter is proposed to remove salt-and-pepper impulse noise from corrupted image by combining advantages of the known median-type filters with impulse noise detection step.Abstract:
A new adaptive switching median filter is proposed to remove salt-and-pepper impulse noise from corrupted image. The algorithm is developed by combining advantages of the known median-type filters with impulse noise detection step. Comparison of the given method with traditional filters is provided. A visual example is given to demonstrate the performance of the proposed filter.read more
Citations
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Journal ArticleDOI
A comprehensive survey on impulse and Gaussian denoising filters for digital images
TL;DR: With this extensive review, researchers in image processing will be able to ascertain which of these denoising methods will be best applicable to their research needs and the application domain where such methods are contemplated for implementation.
Journal ArticleDOI
Impulse Noise Removal From Digital Images by a Detail-Preserving Filter Based on Type-2 Fuzzy Logic
TL;DR: Experimental results show that the proposed filter exhibits superior performance over the competing operators and is capable of efficiently suppressing the noise in the image while at the same time effectively preserving thin lines, edges, texture, and other useful information within the image.
Journal ArticleDOI
A Robust Edge Detection Approach in the Presence of High Impulse Noise Intensity Through Switching Adaptive Median and Fixed Weighted Mean Filtering
TL;DR: The proposed switching adaptive median and fixed weighted mean filter (SAMFWMF) is shown to yield optimal edge detection and edge detail preservation, an outcome the authors validate through high correlation, structural similarity index, and peak signal-to-noise ratio measures.
Proceedings ArticleDOI
A survey on switching median filters for impulse noise removal
S. Vishaga,Sreejith. L. Das +1 more
TL;DR: Survey on Variants of median filters like weighted median filter, adaptive switching Median filter, triststate switching medianfilter, modified decision based unsymmentrictristate median filter are discussed in his paper.
Journal ArticleDOI
A novel approach to fast noise reduction of infrared image
Chih Lung Lin,Chih Lung Lin,Chih Lung Lin,Chih Wei Kuo,Chih-Chin Lai,Ming Dar Tsai,Yuan-Chang Chang,Hsu-Yung Cheng +7 more
TL;DR: A fast noise reduction (FNR) approach to infrared (IR) images that is feasible for an effective process for reducing noise of IR images, regardless of the filter windows’ and objects’ sizes and can apply to real-time video processing.
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
Adaptive median filters: new algorithms and results
Hyoseok Hwang,Richard A. Haddad +1 more
TL;DR: Based on two types of image models corrupted by impulse noise, two new algorithms for adaptive median filters are proposed that have variable window size for removal of impulses while preserving sharpness and are superior to standard median filters.
Journal ArticleDOI
Center weighted median filters and their applications to image enhancement
Sung-Jea Ko,Yong Hoon Lee +1 more
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 ArticleDOI
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.
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.
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