Journal ArticleDOI
Center weighted median filters and their applications to image enhancement
Sung-Jea Ko,Yong Hoon Lee +1 more
TLDR
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.Abstract:
The center weighted median (CWM) filter, which is a weighted median filter giving more weight only to the central value of each window, is studied. This filter can preserve image details while suppressing additive white and/or impulsive-type noise. The statistical properties of the CWM filter are analyzed. It is shown that the CWM filter can outperform the median filter. Some relationships between CWM and other median-type filters, such as the Winsorizing smoother and the multistage median filter, are derived. In an attempt to improve the performance of CWM filters, an adaptive CWM (ACWM) filter having a space varying central weight is proposed. It is shown that the ACWM filter is an excellent detail preserving smoother that can suppress signal-dependent noise as well as signal-independent noise. >read more
Citations
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Journal ArticleDOI
Adaptive impulse detection using center-weighted median filters
Tao Chen,Hong Ren Wu +1 more
TL;DR: A novel adaptive operator is devises, which forms estimates based on the differences between the current pixel and the outputs of center-weighted median (CWM) filters with varied center weights, which consistently works well in suppressing both types of impulses with different noise ratios.
Journal ArticleDOI
Tri-state median filter for image denoising
Tao Chen,Kai-Kuang Ma,Lihui Chen +2 more
TL;DR: A novel nonlinear filter, called tri-state median (TSM) filter, is proposed for preserving image details while effectively suppressing impulse noise by balancing the tradeoff between noise reduction and detail preservation.
Journal ArticleDOI
A Variational Approach to Remove Outliers and Impulse Noise
TL;DR: The variational method furnishes a new framework for the processing of data corrupted with outliers and different kinds of impulse noise and is accurate and stable, as demonstrated by the experiments.
Journal ArticleDOI
A switching median filter with boundary discriminative noise detection for extremely corrupted images
Pei-Eng Ng,Kai-Kuang Ma +1 more
TL;DR: Results clearly show that the proposed switching median filter substantially outperforms all existing median-based filters, in terms of suppressing impulse noise while preserving image details, and yet, the proposed BDND is algorithmically simple, suitable for real-time implementation and application.
Journal ArticleDOI
Noise adaptive soft-switching median filter
How-Lung Eng,Kai-Kuang Ma +1 more
TL;DR: A novel switching-based median filter with incorporation of fuzzy-set concept, called the noise adaptive soft-switching median (NASM) filter, to achieve much improved filtering performance in terms of effectiveness in removing impulse noise while preserving signal details and robustness in combating noise density variations.
References
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Book
Digital Picture Processing
Azriel Rosenfeld,Avinash C. Kak +1 more
TL;DR: The rapid rate at which the field of digital picture processing has grown in the past five years had necessitated extensive revisions and the introduction of topics not found in the original edition.
Journal ArticleDOI
Digital Image Enhancement and Noise Filtering by Use of Local Statistics
TL;DR: Experimental results show that in most cases the techniques developed in this paper are readily adaptable to real-time image processing.
Journal ArticleDOI
Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise
TL;DR: The adaptive noise smoothing filter is a systematic derivation of Lee's algorithm with some extensions that allow different estimators for the local image variance and its easy extension to deal with various types of signal-dependent noise.
Journal ArticleDOI
A fast two-dimensional median filtering algorithm
Thomas S. Huang,G. Yang,G. Tang +2 more
TL;DR: A fast algorithm for two-dimensional median filtering based on storing and updating the gray level histogram of the picture elements in the window is presented, which is much faster than conventional sorting methods.
Journal ArticleDOI
The weighted median filter
TL;DR: The Weighted Median Filter is described, a more general filter that enables filters to be designed with a wide variety of properties and the question of finding the number of distinct ways a class of filters can act is considered and solved for some classes.
Related Papers (5)
Progressive switching median filter for the removal of impulse noise from highly corrupted images
Zhou Wang,David Zhang +1 more