DETECTION AND REMOVAL OF IMPULSE NOISE IN DIGITAL IMAGES
A., F., E., S., M., A., A., M. (1999). DETECTION AND REMOVAL OF IMPULSE NOISE IN DIGITAL IMAGES. EKB Journal Management System, 2(2nd International Conference on Electrical Engineering ICEENG 1999), 707-715. doi: 10.21608/iceeng.1999.62597
FAYED K. A.; SHOUMAN S. E.; ALIAN S. M.; MAHMOUD T. A.. "DETECTION AND REMOVAL OF IMPULSE NOISE IN DIGITAL IMAGES". EKB Journal Management System, 2, 2nd International Conference on Electrical Engineering ICEENG 1999, 1999, 707-715. doi: 10.21608/iceeng.1999.62597
A., F., E., S., M., A., A., M. (1999). 'DETECTION AND REMOVAL OF IMPULSE NOISE IN DIGITAL IMAGES', EKB Journal Management System, 2(2nd International Conference on Electrical Engineering ICEENG 1999), pp. 707-715. doi: 10.21608/iceeng.1999.62597
A., F., E., S., M., A., A., M. DETECTION AND REMOVAL OF IMPULSE NOISE IN DIGITAL IMAGES. EKB Journal Management System, 1999; 2(2nd International Conference on Electrical Engineering ICEENG 1999): 707-715. doi: 10.21608/iceeng.1999.62597

DETECTION AND REMOVAL OF IMPULSE NOISE IN DIGITAL IMAGES

The International Conference on Electrical Engineering
Article 69, Volume 2, 2nd International Conference on Electrical Engineering ICEENG 1999, November 1999, Pages 707-715    PDF (2.1 M)
Document Type: Original Article
DOI: 10.21608/iceeng.1999.62597
Authors
FAYED K. A.1; SHOUMAN S. E.2; ALIAN S. M.3; MAHMOUD T. A.4
1Ph. D., Dpt. of Electrical Engineering, Military Technical College, Cairo, Egypt.
2Associate professor, Dpt. of Electrical Engineering, Military Technical College, Cairo, Egypt.
3Professor, Dpt. of Electrical Engineering, Military Technical College, Cairo, Egypt.
4B. Sc., Dpt. of Electrical Engineering, Military Technical College, Cairo, Egypt.
Abstract
A new method is proposed to eliminate impulsive noise in digital images. The method is based on impulse noise detection by means of a self-organizing neural network and a class of noise-exclusive filters. The filtering scheme presented can suppress impulse noise effectively while preserving image edges and fine details. Experimental results demonstrate that the performance of the noise-exclusive filters is superior to that of the traditional median filter family.
Keywords
Self-organizing neural network; Impulse noise removal; Noise-exclusive filtering; Digital image processing
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