Research Article
Image Denoising of Adaptive Fractional Operator Based on Atangana–Baleanu Derivatives
Table 3
Comparison of the effectiveness of different fractional operators for the Elaine image.
| | Noisy image | Method in [38] | TA_ABC | Ada_TA | GL_ABC | Ada_GL_ABC |
| σ = 15 | PSNR | 24.602 | 25.8 | 29.1284 | 30.5185 | 31.5693 | 32.5138 | SSIM | 0.4239 | 0.4754 | 0.6484 | 0.7174 | 0.7575 | 0.8033 |
| σ = 20 | PSNR | 22.1297 | 23.4999 | 28.0504 | 29.5162 | 30.4062 | 30.8692 | SSIM | 0.3101 | 0.363 | 0.574 | 0.66 | 0.714 | 0.739 |
| σ = 25 | PSNR | 20.1507 | 21.7676 | 26.9874 | 28.542 | 28.8114 | 29.3865 | SSIM | 0.233 | 0.2867 | 0.5048 | 0.6024 | 0.6385 | 0.6719 |
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