A New Detector for Impulse Noise Removal

Tian Shou Liang; De Jian Zhou

doi:10.4028/www.scientific.net/AMR.779-780.1797

Paper Titles

Color Gray Research of Software Interface Design Based on Optical Display Equipment
p.1781

Sustainable Logistic of Raw Materials Used by a Zootechnical Firm. Focus on CO₂ Emission Reduction through the Creation of a Local Suppliers Network
p.1785

GMSPPF for Magnetic Ellipsoid Tracking with a Magnetic Gradiometer Tensor
p.1789

Super Exponential Iteration Adaptive Minimum Entropy Blind Equalization Algorithm Based on Quantum Artificial Fish Swarm Optimization
p.1793

A New Detector for Impulse Noise Removal
p.1797

Design and Implementation of the Steel Enterprise MES Based on CICS
p.1801

Optimization Study Based on the Mileage-Saving Method of Oil Distribution
p.1805

The Security Mechanism Research of PACS
p.1809

The Achieve Method of the Panorama Field Geological Image Web Shared
p.1813

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 779-780A New Detector for Impulse Noise Removal

A New Detector for Impulse Noise Removal

Abstract:

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.

You might also be interested in these eBooks

Materials, Transportation and Environmental Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 779-780)

Pages:

1797-1800

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.779-780.1797

Citation:

Cite this paper

Online since:

September 2013

Authors:

Tian Shou Liang, De Jian Zhou

Keywords:

Impulse Noise Detector, Local Image Statistic, Switch-Based Filter

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] N. Pei-Eng and M. Kai-Kuang, A switching median filter with boundary discriminative noise detection for extremely corrupted images Image Processing, IEEE Tran., 15 (2006) 1506-1516.

DOI: 10.1109/tip.2005.871129

Google Scholar

[2] S. Perreault and P. H E Bert, Median filtering in constant time, Image Processing, IEEE Transactions on, 16 (2007) 2389-2394.

DOI: 10.1109/tip.2007.902329

Google Scholar

[3] D. Brownrigg, The weighted median filter, Communications of the ACM, 27 (1984) 807-818.

DOI: 10.1145/358198.358222

Google Scholar

[4] S. J. Ko and Y. H. Lee, Center weighted median filters and their applications to image enhancement, Circuits and Systems, IEEE Transactions on, 38(1991) 984-993.

DOI: 10.1109/31.83870

Google Scholar

[5] M. Nikolova, A Variational Approach to Remove Outliers and Impulse Noise J. Math. Imag. Vis., 20(2004) 99–120.

Google Scholar

[6] R. H. Chan, H. Chen and M. Nikolova, An iterative procedure for removing random-valued impulse noise, Signal Processing Letters, IEEE, 11 (2004) 921-924.

DOI: 10.1109/lsp.2004.838190

Google Scholar

[7] Y. Dong, R. H. Chan and S. Xu, A detection statistic for random-valued impulse noise, IEEE Trans Image Process, 16 (2007) 1112-1120.

DOI: 10.1109/tip.2006.891348

Google Scholar

[8] R. Garnett, T. Huegerich, C. Chui and W. He, A universal noise removal algorithm with an impulse detector, IEEE Trans Image Process, 14 (2005) 1747-1754.

DOI: 10.1109/tip.2005.857261

Google Scholar