Impulsive noise removal using switching scheme and adaptive weighted median filters

2010 ◽  
Vol 49 (1) ◽  
pp. 017004 ◽  
Author(s):  
Lianghai Jin
Keyword(s):  
Impulsive Noise ◽  
Noise Removal ◽  
Switching Scheme ◽  
Median Filters ◽  
Weighted Median ◽  
Weighted Median Filters

MEDIAN BASED IDEMPOTENT FILTERS

1991 ◽  
Vol 01 (02) ◽  
pp. 125-148 ◽  
Author(s):  
P. HAAVISTO ◽  
M. GABBOUJ ◽  
Y. NEUVO
Keyword(s):  
Speech Processing ◽  
Impulsive Noise ◽  
Median Filter ◽  
Sufficient Conditions ◽  
3 Dimensional ◽  
Median Filters ◽  
Filter Output ◽  
Class 1 ◽  
Weighted Median ◽  
Weighted Median Filters

Idempotent filters produce a root signal in a single filter pass, i.e. the filter output is invariant to further filterings with the same filter. In this paper median based idempotent filter structures are introduced. Two approaches to generate these filters are studied: weighted median filters and median filter cascades. Two subclasses of n-dimensional idempotent weighted median filters, called Class 1 and Class 2 filters in the paper, are introduced. It is shown that both Class 1 and Class 2 filters suppress impulsive noise from n-dimensional input signals and yet have almost no effect on the non-corrupted parts of the signal. These filters are therefore well-suited for example for preprocessing purposes. An application to speech processing is described. Other likely applications of these filters are in image processing and, also, in image sequence processing, where the filter mask is typically 3-dimensional. Sufficient conditions for a filter cascade to be idempotent are given. Two idempotent median filter cascades and their advantages are discussed.

scholarly journals Mid Point Weighted Median Filter for Noise Removal and Smoothening of Images

2019 ◽  
Vol 8 (4) ◽  
pp. 8061-8067
Keyword(s):  
Noise Reduction ◽  
Experimental Work ◽  
Basic Concept ◽  
Impulsive Noise ◽  
Median Filter ◽  
Noise Removal ◽  
Median Filters ◽  
Weighted Median ◽  
Weighted Median Filter

In this paper, a Weighted Median Filter (WMF) mainly Mid-Point WMF (MP WMF) is used to smoothen the images or to remove the impulsive noise present in the input images. It is an improvised version of the median filter. This weighted filter uses the basic concept of the median filter with the enhancement in their mask from normalized mask to the weighted mask. In this weighted median filter, the weight-age is giving to the mid-point pixel i.e. centre pixels or its neighbouring pixels by increasing the repetition of those pixels so that the weight of those mid-point pixel and neighbour pixels get increased. It is shown that the weighted median filter performs more accurately than the normal median filter. Some relationship between MP WMF and other two Four Neighbouring (N4) and Diagonal Neighbouring (ND) Weighted Median Filter are derived. Experimental work has demonstrated that the MP WMF outperform very well than the standard median filters in terms of their noise reduction and in smoothening the image. The proposed MP WMF also provides very good robustness for impulsive noise.

Weighted Median Filters for Multichannel Signals

2006 ◽  
Vol 54 (11) ◽  
pp. 4271-4281 ◽  
Author(s):  
Y. Li ◽  
G.R. Arce ◽  
J. Bacca
Keyword(s):  
Median Filters ◽  
Multichannel Signals ◽  
Weighted Median ◽  
Weighted Median Filters

Weighted median filters: An analog implementation

Integration ◽  
2016 ◽  
Vol 55 ◽  
pp. 227-231 ◽  
Author(s):  
H.C. Bandala-Hernandez ◽  
J.M. Rocha-Pérez ◽  
A. Díaz-Sánchez ◽  
J. Lemus-López ◽  
H Vázquez-Leal ◽  
...  
Keyword(s):  
Median Filters ◽  
Weighted Median ◽  
Analog Implementation ◽  
Weighted Median Filters
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