Genetic Fuzzy Filter Based On MAD And ROAD To Remove Mixed Impulse Noise

Janah, Nur Zahrati; Baharudin, Baharum

doi:10.1234/mjee.v4i2.283

Document Type : Review Article

Authors

Universiti Teknologi PETRONAS

https://doi.org/10.1234/mjee.v4i2.283

Abstract

In this paper, we propose a genetic fuzzy image filtering based on rank-ordered absolute differences (ROAD) and median of the absolute deviations from the median (MAD). The proposed method consists of three components, including fuzzy noise detection system, fuzzy switching scheme filtering, and fuzzy parameters optimization using genetic algorithms (GA) to perform efficient and effective noise removal. Our idea is to utilize MAD and ROAD as measures of noise probability of a pixel. Fuzzy inference system is used to justify the degree of which a pixel can be categorized as noisy. Based on the fuzzy inference result, the fuzzy switching scheme that adopts median filter as the main estimator is applied to the filtering. The GA training aims to find the best parameters for the fuzzy sets in the fuzzy noise detection. By the experimental results, the proposed method has successfully removed mixed impulse noise in low to medium probabilities, while keeping the uncorrupted pixels less affected by the median filtering. It also surpasses the other methods, either classical or soft computing-based approaches to impulse noise removal, in MAE and PSNR evaluations.

Keywords

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Majlesi Journal of Electrical Engineering

Genetic Fuzzy Filter Based On MAD And ROAD To Remove Mixed Impulse Noise

References

References

Volume 4, Issue 2 - Serial Number 2
June 2010
Pages 63-70

Genetic Fuzzy Filter Based On MAD And ROAD To Remove Mixed Impulse Noise

References

References

Volume 4, Issue 2 - Serial Number 2June 2010Pages 63-70

Volume 4, Issue 2 - Serial Number 2
June 2010
Pages 63-70