Name
Abstract | ||
|---|---|---|
This study introduces an image denoising method in the presence of combined speckle and Gaussian noise. The dual-tree complex wavelet transform is applied to the image in order to obtain specific coefficients characterising these types of noise. Then, these extracted coefficients are removed by thresholding and an inverse wavelet transform is applied in order to obtain the reconstructed image. A c... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2018.5292 | IET Image Processing |
Keywords | Field | DocType |
biomedical ultrasonics,filtering theory,Gaussian noise,image denoising,image reconstruction,medical image processing,speckle,wavelet transforms | Noise reduction,Computer vision,Inverse,Pattern recognition,Speckle pattern,Artificial intelligence,Thresholding,Complex wavelet transform,Gaussian noise,Mathematics,Wavelet,Wavelet transform | Journal |
Volume | Issue | ISSN |
12 | 12 | 1751-9659 |
Citations | PageRank | References |
2 | 0.38 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mehdi Mafi | 1 | 12 | 1.84 |
| Solale Tabarestani | 2 | 5 | 1.43 |
| Mercedes Cabrerizo | 3 | 92 | 14.69 |
| Armando Barreto | 4 | 79 | 10.17 |
| Malek Adjouadi | 5 | 341 | 52.73 |