Fuzzy Based Salt and Pepper Noise Removal Using Adaptive Switching Median Filter
| Autor: | V. Thirilogasundari, V. Suresh babu, S. Agatha Janet |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
MATLAB
Pixel business.industry Noise spectral density IEF ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION neighbourhood mapping PSNR Pattern recognition Salt-and-pepper noise General Medicine Transmission system Impulse noise Fuzzy logic SSIM Median filter Computer vision Artificial intelligence business computer Engineering(all) computer.programming_language Mathematics Switching median filter |
| Zdroj: | Procedia Engineering. 38:2858-2865 |
| ISSN: | 1877-7058 |
| DOI: | 10.1016/j.proeng.2012.06.334 |
| Popis: | This paper concentrates on the removal of impulse noise which mainly occurs due to the transmission medium imperfections, transmission system errors, and faulty memory units. Most of the conventional median filters, process all the pixels without classifying whether it is noisy or noiseless .The proposed method is based on switching median filter. It consists of two stages namely detection stage and filtering stage. In the detection stage neighbourhood mapping based algorithm is used to detect the corrupted pixels. In the filtering stage, the corrupted pixels are filtered by using fuzzy membership function. The uncorrupted pixels are retained as such. The proposed method is compared with many existing algorithms. The proposed algorithm can restore images which are highly corrupted up to 90% noise density. Simulation results show that the proposed switching median filter algorithm is better when compared to other existing techniques in terms of visual and quantitative measures such as PSNR, MSE, SSIM using MATLAB. |
| Databáze: | OpenAIRE |
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