Impulse noise filter via spatial global outlier measurement

2015 ◽  
Vol 24 (5) ◽  
pp. 053008 ◽  
Author(s):  
Zhu Zhu ◽  
Julang Jiang ◽  
Xiaoguo Zhang
Keyword(s):  
Impulse Noise ◽  
Noise Filter ◽  
Outlier Measurement

New impulse noise filter based on weighted detection

2010 ◽  
Vol 30 (10) ◽  
pp. 2815-2818
Author(s):  
Shuang-shuang WANG ◽  
Shi-tong WANG ◽  
Ke-cai LI
Keyword(s):  
Impulse Noise ◽  
Noise Filter

Universal Impulse Noise Filter Based on Genetic Programming

2008 ◽  
Vol 17 (7) ◽  
pp. 1109-1120 ◽  
Author(s):  
N.I. Petrovic ◽  
V. Crnojevic
Keyword(s):  
Genetic Programming ◽  
Impulse Noise ◽  
Noise Filter

Adaptive Partition-Cluster-Based Median Filter for Random-Valued Impulse Noise Removal

2018 ◽  
Vol 27 (07) ◽  
pp. 1850110
Author(s):  
Ke Pang ◽  
Zaifeng Shi ◽  
Jiangtao Xu ◽  
Suying Yao
Keyword(s):  
Impulse Noise ◽  
Parallel Implementation ◽  
Median Filter ◽  
Noise Removal ◽  
Noise Detection ◽  
Computation Complexity ◽  
Noise Filter ◽  
The Arts ◽  
Objective Quality ◽  
Significant Attention

As the most popular nonlinear denoise technique, the median filter has attracted significant attention in recent years. In this paper, a novel adaptive median filter is presented to remove random-valued impulse noise in images, named Adaptive Partition-Cluster-Based Median (APCM) Filter. Based on the partition cluster idea, the noise detector classifies pixels into different groups and identifies the noisy pixels in different regions adaptively without iterations. According to the results of noise detection, an improved adaptive decision-based filter is presented to restore the pixels which are corrupted by random-valued impulse noise. The proposed filter technique is open to any impulse noise. Extensive simulation results demonstrate that the proposed method substantially outperforms other state-of-the-arts impulse noise filter techniques both visually and in terms of objective quality measures. Furthermore, the proposed method is much friendly to the hardware parallel implementation of image processing because of its low computation complexity and simple realizable structure.

Fuzzy logic and distance measure based adaptive fixed value impulse noise filter

2018 ◽  
Vol 27 (1) ◽  
pp. 89-102
Author(s):  
P. S. Eliahim Jeevaraj ◽  
P. Shanmugavadivu
Keyword(s):  
Fuzzy Logic ◽  
Impulse Noise ◽  
Distance Measure ◽  
Noise Filter

A New Detector for Impulse Noise Removal

2013 ◽  
Vol 779-780 ◽  
pp. 1797-1800
Author(s):  
Tian Shou Liang ◽  
De Jian Zhou
Keyword(s):  
Impulse Noise ◽  
Noise Removal ◽  
Gray Level ◽  
Impulse Noise Removal ◽  
Noise Filter ◽  
Simulation Results ◽  
Gray Level Images

This paper proposes a new detector for impulse noise filter on switch scheme. We construct the detector by using two kind of information: the closeness and volatility of intensities of local pixels. The simulation results of noise detecting with gray level images show that the proposed detector has a better performance than other detectors with high correct rate and low misjudgment for impulse noise.

scholarly journals Neighbourhood decision based impulse noise filter

2018 ◽  
Vol 12 (7) ◽  
pp. 1222-1227 ◽  
Author(s):  
Aswini Kumar Samantaray ◽  
Priyadarshi Kanungo ◽  
Bibhuprasad Mohanty
Keyword(s):  
Impulse Noise ◽  
Noise Filter

Recurrent Mechanism and Impulse Noise Filter for Establishing ANFIS

2018 ◽  
Vol 26 (2) ◽  
pp. 985-997 ◽  
Author(s):  
Sy Dzung Nguyen ◽  
Seung-Bok Choi ◽  
Tae-Il Seo
Keyword(s):  
Impulse Noise ◽  
Noise Filter
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