| Revista: | Journal of applied research and technology |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000427810 |
| ISSN: | 1665-6423 |
| Autores: | Verma, Atul Kumar1 Saini, Barjinder Singh1 |
| Instituciones: | 1National Institute of Technology, Punjab, Haryana. India |
| Año: | 2017 |
| Periodo: | Dic |
| Volumen: | 15 |
| Número: | 6 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | In this paper, a fractional differential zero phase (FDZP) 2D filter is constructed which is based on the technique of zero-phase filtering utilizing the concept of R-L integral with fractional differentiation. The constructed filter mask is used to denoise an image with the forward-backward processing which gives high robustness for images corrupted with Gaussian noise with varying degree of standard deviation and with speckle noise. The proposed FDZP 2D filter has high edge preserving capability that is also quantitatively evaluated using the peak signal-to-noise ratio (PSNR) performance measure. From the quantitative analysis, the PSNR value is much better than those obtained using Gaussian smoothing, Alexander fractional differential (AFD), Alexander fractional integral (AFI), anisotropic diffusion and kuan filters for standard and ultrasonic image of liver, respectively. The experiments illustrate that the improvements achieved are compatible with other existing filters |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Procesamiento de datos, Imágenes digitales, Filtrado de imágenes, Filtraje fraccional |
| Keyword: | Data processing, Digital images, Images filtering, Fractional filtering |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
