Research Article
Image Denoising of Adaptive Fractional Operator Based on Atangana–Baleanu Derivatives
Table 6
Comparison of the effectiveness of different fractional operators for the Cameraman image.
| | Noisy image | Method in [38] | TA_ABC | Ada_TA_ ABC | GL_ABC | Ada_GL_ABC |
| σ = 15 | PSNR | 24.6171 | 25.7532 | 25.724 | 28.3601 | 30.9423 | 31.5346 | SSIM | 0.4084 | 0.4524 | 0.6394 | 0.7668 | 0.7398 | 0.8214 |
| σ = 20 | PSNR | 22.1178 | 23.6034 | 25.1439 | 27.7603 | 29.5537 | 30.0694 | SSIM | 0.3116 | 0.3615 | 0.5502 | 0.7002 | 0.6902 | 0.7429 |
| σ = 25 | PSNR | 20.1543 | 21.7478 | 24.5397 | 26.8904 | 28.3857 | 28.7435 | SSIM | 0.2465 | 0.2923 | 0.4724 | 0.6241 | 0.635 | 0.6674 |
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