A novel image detail preserving impulse noise removal algorithm
| Autor: | Punjal Agarwal, Abhinash Kumar Jha, Gerald Schaefer, Youssef Zaz |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Noise measurement
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Pattern recognition Salt-and-pepper noise 02 engineering and technology Impulse noise symbols.namesake Gaussian noise Computer Science::Computer Vision and Pattern Recognition 0202 electrical engineering electronic engineering information engineering Median filter Image noise symbols 020201 artificial intelligence & image processing Computer vision Value noise Artificial intelligence business Algorithm Image restoration |
| Zdroj: | ICMCS |
| Popis: | In this paper, we introduce a novel edge directed image detail preserving impulse noise removal algorithm. Our approach is based on local image directionality features. Local edge features are analysed on both a downsampled version of the image and the noisy image, and both soft an sharp edges are considered for selective noise removal. Experimental results on a set of standard images show our technique to be effective in removing salt-and-pepper noise even at high noise levels, to yield good image quality and to outperform a number of other noise removal techniques. |
| Databáze: | OpenAIRE |
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