High Density Salt and Pepper Noise Filter based on Shepard Interpolation Method
| Autor: | Rachu Punchalard, Chaipichit Cumpim |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Pixel
Computer Networks and Communications Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Salt-and-pepper noise 02 engineering and technology Filter (signal processing) Impulse noise Image (mathematics) Noise Artificial Intelligence Computer Science::Computer Vision and Pattern Recognition 0202 electrical engineering electronic engineering information engineering Median filter 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Software Interpolation |
| Zdroj: | Journal of Computer Science. 13:247-256 |
| ISSN: | 1549-3636 |
| DOI: | 10.3844/jcssp.2017.247.256 |
| Popis: | This paper has proposed the technique in order to remove salt-and-pepper noise from the corrupted image. The proposed scheme consists of two steps. The first, the adaptive median filter is applied to noisy image for detecting noisy and noise-free pixels. Finally, the output image of previous step will be divided into many non-overlapping windows of which the noise-free pixel values are used to compute the new pixel value by the Shepard method. The experiment results of our approach had shown the better performance than the existing method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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