A No-Reference Edge Preserving Genetic Weight Adaptation Filter for Impulse Noise Removal
| Autor: | V. Abhaikumar, N.S. Balaji, S. Baskar, S. Mohamed Mansoor Roomi |
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| Rok vydání: | 2008 |
| Předmět: |
Mathematical optimization
Pixel Computer science Salt-and-pepper noise Filter (signal processing) Impulse noise Computer Graphics and Computer-Aided Design Computer Science Applications symbols.namesake Hardware and Architecture Gaussian noise Genetic algorithm Median filter symbols Enhanced Data Rates for GSM Evolution Algorithm Software |
| Zdroj: | International Journal of Computers and Applications. 30:338-344 |
| ISSN: | 1925-7074 1206-212X |
| DOI: | 10.1080/1206212x.2008.11441914 |
| Popis: | Image sensors and communication channels introduce impulse noise in video broadcasting applications. Median filters and its variants are widely used to remove impulse noise. The drawbacks of them are blurring of edge details and low noise suppression. To preserve the sharp and meaningful information in the image, the filtering algorithms are required to have an intelligence incorporated in it. Genetic Algorithm (GA) emerged as a promising solution in this direction. This paper proposes a Genetic Weight Adaptation Filter (GWAF) that provides directional optimization of restored pixel in a mean square sense resulting in replacement of noisy pixels by near originals along its edge direction. Various parameters like mean absolute error (MAE), percentage of noise elimination, percentage of pixels spoiled show that the proposed recursive no-reference filter performs significantly better than order statistic and fuzzy filters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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