Image Denoising on Baboon (PSNR, SSIM)
35.115PSNRSparse Bresler
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Sparse Breslerσ=52026.06 | 35.115 | 0.986 | |
| Dense Breslerσ=52026.06 | 35.072 | 0.986 | |
| Dense Conditionedσ=52026.06 | 35.063 | 0.986 | |
| Doubly Sparse Explicitly Conditioned Transform Learningσ=52026.06 | 35.058 | 0.987 | |
| DCTσ=52026.06 | 35.057 | 0.987 | |
| Sparse Breslerσ=102026.06 | 30.336 | 0.956 | |
| Doubly Sparse Explicitly Conditioned Transform Learningσ=102026.06 | 30.324 | 0.956 | |
| DCTσ=102026.06 | 30.313 | 0.956 | |
| Dense Breslerσ=102026.06 | 30.114 | 0.953 | |
| Dense Conditionedσ=102026.06 | 30.109 | 0.954 | |
| Doubly Sparse Explicitly Conditioned Transform Learningσ=152026.06 | 27.82 | 0.916 | |
| DCTσ=152026.06 | 27.798 | 0.916 | |
| Sparse Breslerσ=152026.06 | 27.731 | 0.917 | |
| Dense Conditionedσ=152026.06 | 27.382 | 0.908 | |
| Dense Breslerσ=152026.06 | 27.361 | 0.908 | |
| Doubly Sparse Explicitly Conditioned Transform Learningσ=202026.06 | 26.131 | 0.87 | |
| DCTσ=202026.06 | 26.099 | 0.87 | |
| Sparse Breslerσ=202026.06 | 25.961 | 0.871 | |
| Dense Conditionedσ=202026.06 | 25.588 | 0.854 | |
| Dense Breslerσ=202026.06 | 25.555 | 0.853 | |
| Sparse Breslerσ=1002026.06 | 19.633 | 0.417 | |
| DCTσ=1002026.06 | 19.627 | 0.409 | |
| Doubly Sparse Explicitly Conditioned Transform Learningσ=1002026.06 | 19.567 | 0.402 | |
| Dense Breslerσ=1002026.06 | 19.564 | 0.401 | |
| Dense Conditionedσ=1002026.06 | 19.563 | 0.401 |