1166 lines
30 KiB
Markdown
1166 lines
30 KiB
Markdown
# Experimental Results
|
|
|
|
## Models Trained on Various Filters
|
|
**NOTE**: The results in this section contain an oversight in the defense strategy. While models were trained using different filters, they were all defended from FGSM using a Kuwahara filter.
|
|
|
|
### Model Trained on Unfiltered MNIST Dataset
|
|
| $\epsilon$ | Accuracy |
|
|
|---------|----------|
|
|
| 0.05 | 0.9600 |
|
|
| 0.10 | 0.8753 |
|
|
| 0.15 | 0.7228 |
|
|
| 0.20 | 0.5008 |
|
|
| 0.25 | 0.2922 |
|
|
| 0.30 | 0.1599 |
|
|
|
|
### Model Trained on Kuwahara (R=5) Filtered MNIST Dataset
|
|
| $\epsilon$ | Attacked Accuracy | Filtered Accuracy | Ratio |
|
|
|---------|-------------------|-------------------|--------|
|
|
| 0.05 | 0.9605 | 0.9522 | 0.9914 |
|
|
| 0.1 | 0.8743 | 0.9031 | 1.0329 |
|
|
| 0.15 | 0.7107 | 0.8138 | 1.1451 |
|
|
| 0.2 | 0.4876 | 0.6921 | 1.4194 |
|
|
| 0.25 | 0.2714 | 0.5350 | 1.9713 |
|
|
| 0.3 | 0.1418 | 0.3605 | 2.5423 |
|
|
|
|
### Model Trained on Gaussian Blurred (K-Size=5x5) MNIST Dataset
|
|
| $\epsilon$ | Attacked Accuracy | Filtered Accuracy | Ratio |
|
|
|---------|-------------------|-------------------|-------|
|
|
| 0.05 | 0.9192 | 0.9325 | 1.014 |
|
|
| 0.10 | 0.7629 | 0.8802 | 1.154 |
|
|
| 0.15 | 0.4871 | 0.7865 | 1.615 |
|
|
| 0.20 | 0.2435 | 0.6556 | 2.692 |
|
|
| 0.25 | 0.1093 | 0.5024 | 4.596 |
|
|
| 0.30 | 0.0544 | 0.3522 | 6.474 |
|
|
|
|
### Model Trained on Bilateral Filtered (d=5) MNIST Dataset
|
|
| $\epsilon$ | Attacked Accuracy | Filtered Accuracy | Ratio |
|
|
|---------|-------------------|-------------------|-------|
|
|
| 0.05 | 0.9078 | 0.9287 | 1.023 |
|
|
| 0.10 | 0.7303 | 0.8611 | 1.179 |
|
|
| 0.15 | 0.4221 | 0.7501 | 1.777 |
|
|
| 0.20 | 0.1927 | 0.6007 | 3.117 |
|
|
| 0.25 | 0.0873 | 0.4433 | 5.078 |
|
|
| 0.30 | 0.0525 | 0.3023 | 5.758 |
|
|
|
|
## Models Defended with Various Filters
|
|
|
|
### Tabulated Results
|
|
| $\epsilon$ | Unfiltered | Kuwahara | Bilateral | Gaussian Blur | Random Noise | Snapped Color | 1-Bit | Plurality |
|
|
|------------|------------|----------|-----------|---------------|--------------|---------------|--------|-----------|
|
|
| 0.00 | 0.992 | 0.9066 | 0.9391 | 0.9682 | 0.9911 | 0.9913 | 0.9722 | 0.9889 |
|
|
| 0.05 | 0.9600 | 0.8700 | 0.8902 | 0.9271 | 0.9603 | 0.9781 | 0.8409 | 0.9600 |
|
|
| 0.10 | 0.8753 | 0.8123 | 0.8133 | 0.8516 | 0.8677 | 0.8818 | 0.7919 | 0.8799 |
|
|
| 0.15 | 0.7229 | 0.7328 | 0.7098 | 0.7415 | 0.7153 | 0.8408 | 0.7329 | 0.7879 |
|
|
| 0.20 | 0.5008 | 0.6301 | 0.5683 | 0.5983 | 0.4941 | 0.7496 | 0.6794 | 0.6467 |
|
|
| 0.25 | 0.2922 | 0.5197 | 0.4381 | 0.4591 | 0.2843 | 0.4301 | 0.6233 | 0.4721 |
|
|
| 0.30 | 0.1599 | 0.3981 | 0.3364 | 0.3481 | 0.1584 | 0.2091 | 0.5462 | 0.3312 |
|
|
|
|
### Plotted Results
|
|
|
|
|
|
### Raw Program Output
|
|
====== EPSILON: 0.0 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Kuwahara Filter Accuracy = 9066 / 10000 = 0.9066
|
|
|
|
Bilateral Filter Accuracy = 9391 / 10000 = 0.9391
|
|
|
|
Gaussian Blur Accuracy = 9682 / 10000 = 0.9682
|
|
|
|
Random Noise Accuracy = 9911 / 10000 = 0.9911
|
|
|
|
Snapped Color Accuracy = 9913 / 10000 = 0.9913
|
|
|
|
1 Bit Accuracy = 9722 / 10000 = 0.9722
|
|
|
|
Plurality Vote Accuracy = 9889 / 10000 = 0.9889
|
|
|
|
====== EPSILON: 0.025 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9796 / 10000 = 0.9796
|
|
|
|
Kuwahara Filter Accuracy = 8909 / 10000 = 0.8909
|
|
|
|
Bilateral Filter Accuracy = 9184 / 10000 = 0.9184
|
|
|
|
Gaussian Blur Accuracy = 9512 / 10000 = 0.9512
|
|
|
|
Random Noise Accuracy = 9786 / 10000 = 0.9786
|
|
|
|
Snapped Color Accuracy = 9823 / 10000 = 0.9823
|
|
|
|
1 Bit Accuracy = 8644 / 10000 = 0.8644
|
|
|
|
Plurality Vote Accuracy = 9746 / 10000 = 0.9746
|
|
|
|
====== EPSILON: 0.05 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9600 / 10000 = 0.96
|
|
|
|
Kuwahara Filter Accuracy = 8700 / 10000 = 0.87
|
|
|
|
Bilateral Filter Accuracy = 8902 / 10000 = 0.8902
|
|
|
|
Gaussian Blur Accuracy = 9271 / 10000 = 0.9271
|
|
|
|
Random Noise Accuracy = 9587 / 10000 = 0.9587
|
|
|
|
Snapped Color Accuracy = 9781 / 10000 = 0.9781
|
|
|
|
1 Bit Accuracy = 8409 / 10000 = 0.8409
|
|
|
|
Plurality Vote Accuracy = 9602 / 10000 = 0.9602
|
|
|
|
====== EPSILON: 0.07500000000000001 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9260 / 10000 = 0.926
|
|
|
|
Kuwahara Filter Accuracy = 8447 / 10000 = 0.8447
|
|
|
|
Bilateral Filter Accuracy = 8533 / 10000 = 0.8533
|
|
|
|
Gaussian Blur Accuracy = 8939 / 10000 = 0.8939
|
|
|
|
Random Noise Accuracy = 9221 / 10000 = 0.9221
|
|
|
|
Snapped Color Accuracy = 9228 / 10000 = 0.9228
|
|
|
|
1 Bit Accuracy = 8174 / 10000 = 0.8174
|
|
|
|
Plurality Vote Accuracy = 9235 / 10000 = 0.9235
|
|
|
|
====== EPSILON: 0.1 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 8753 / 10000 = 0.8753
|
|
|
|
Kuwahara Filter Accuracy = 8123 / 10000 = 0.8123
|
|
|
|
Bilateral Filter Accuracy = 8133 / 10000 = 0.8133
|
|
|
|
Gaussian Blur Accuracy = 8516 / 10000 = 0.8516
|
|
|
|
Random Noise Accuracy = 8702 / 10000 = 0.8702
|
|
|
|
Snapped Color Accuracy = 8818 / 10000 = 0.8818
|
|
|
|
1 Bit Accuracy = 7919 / 10000 = 0.7919
|
|
|
|
Plurality Vote Accuracy = 8802 / 10000 = 0.8802
|
|
|
|
====== EPSILON: 0.125 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 8104 / 10000 = 0.8104
|
|
|
|
Kuwahara Filter Accuracy = 7751 / 10000 = 0.7751
|
|
|
|
Bilateral Filter Accuracy = 7656 / 10000 = 0.7656
|
|
|
|
Gaussian Blur Accuracy = 7989 / 10000 = 0.7989
|
|
|
|
Random Noise Accuracy = 8022 / 10000 = 0.8022
|
|
|
|
Snapped Color Accuracy = 8621 / 10000 = 0.8621
|
|
|
|
1 Bit Accuracy = 7646 / 10000 = 0.7646
|
|
|
|
Plurality Vote Accuracy = 8396 / 10000 = 0.8396
|
|
|
|
====== EPSILON: 0.15000000000000002 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 7229 / 10000 = 0.7229
|
|
|
|
Kuwahara Filter Accuracy = 7328 / 10000 = 0.7328
|
|
|
|
Bilateral Filter Accuracy = 7098 / 10000 = 0.7098
|
|
|
|
Gaussian Blur Accuracy = 7415 / 10000 = 0.7415
|
|
|
|
Random Noise Accuracy = 7129 / 10000 = 0.7129
|
|
|
|
Snapped Color Accuracy = 8408 / 10000 = 0.8408
|
|
|
|
1 Bit Accuracy = 7329 / 10000 = 0.7329
|
|
|
|
Plurality Vote Accuracy = 7879 / 10000 = 0.7879
|
|
|
|
====== EPSILON: 0.17500000000000002 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 6207 / 10000 = 0.6207
|
|
|
|
Kuwahara Filter Accuracy = 6816 / 10000 = 0.6816
|
|
|
|
Bilateral Filter Accuracy = 6410 / 10000 = 0.641
|
|
|
|
Gaussian Blur Accuracy = 6741 / 10000 = 0.6741
|
|
|
|
Random Noise Accuracy = 6096 / 10000 = 0.6096
|
|
|
|
Snapped Color Accuracy = 7794 / 10000 = 0.7794
|
|
|
|
1 Bit Accuracy = 7085 / 10000 = 0.7085
|
|
|
|
Plurality Vote Accuracy = 7176 / 10000 = 0.7176
|
|
|
|
====== EPSILON: 0.2 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 5008 / 10000 = 0.5008
|
|
|
|
Kuwahara Filter Accuracy = 6301 / 10000 = 0.6301
|
|
|
|
Bilateral Filter Accuracy = 5683 / 10000 = 0.5683
|
|
|
|
Gaussian Blur Accuracy = 5983 / 10000 = 0.5983
|
|
|
|
Random Noise Accuracy = 4927 / 10000 = 0.4927
|
|
|
|
Snapped Color Accuracy = 7496 / 10000 = 0.7496
|
|
|
|
1 Bit Accuracy = 6794 / 10000 = 0.6794
|
|
|
|
Plurality Vote Accuracy = 6459 / 10000 = 0.6459
|
|
|
|
====== EPSILON: 0.225 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 3894 / 10000 = 0.3894
|
|
|
|
Kuwahara Filter Accuracy = 5773 / 10000 = 0.5773
|
|
|
|
Bilateral Filter Accuracy = 5003 / 10000 = 0.5003
|
|
|
|
Gaussian Blur Accuracy = 5243 / 10000 = 0.5243
|
|
|
|
Random Noise Accuracy = 3828 / 10000 = 0.3828
|
|
|
|
Snapped Color Accuracy = 5289 / 10000 = 0.5289
|
|
|
|
1 Bit Accuracy = 6512 / 10000 = 0.6512
|
|
|
|
Plurality Vote Accuracy = 5421 / 10000 = 0.5421
|
|
|
|
====== EPSILON: 0.25 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 2922 / 10000 = 0.2922
|
|
|
|
Kuwahara Filter Accuracy = 5197 / 10000 = 0.5197
|
|
|
|
Bilateral Filter Accuracy = 4381 / 10000 = 0.4381
|
|
|
|
Gaussian Blur Accuracy = 4591 / 10000 = 0.4591
|
|
|
|
Random Noise Accuracy = 2855 / 10000 = 0.2855
|
|
|
|
Snapped Color Accuracy = 4301 / 10000 = 0.4301
|
|
|
|
1 Bit Accuracy = 6233 / 10000 = 0.6233
|
|
|
|
Plurality Vote Accuracy = 4716 / 10000 = 0.4716
|
|
|
|
====== EPSILON: 0.275 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 2149 / 10000 = 0.2149
|
|
|
|
Kuwahara Filter Accuracy = 4594 / 10000 = 0.4594
|
|
|
|
Bilateral Filter Accuracy = 3836 / 10000 = 0.3836
|
|
|
|
Gaussian Blur Accuracy = 3998 / 10000 = 0.3998
|
|
|
|
Random Noise Accuracy = 2101 / 10000 = 0.2101
|
|
|
|
Snapped Color Accuracy = 3992 / 10000 = 0.3992
|
|
|
|
1 Bit Accuracy = 5842 / 10000 = 0.5842
|
|
|
|
Plurality Vote Accuracy = 4110 / 10000 = 0.411
|
|
|
|
====== EPSILON: 0.30000000000000004 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 1599 / 10000 = 0.1599
|
|
|
|
Kuwahara Filter Accuracy = 3981 / 10000 = 0.3981
|
|
|
|
Bilateral Filter Accuracy = 3364 / 10000 = 0.3364
|
|
|
|
Gaussian Blur Accuracy = 3481 / 10000 = 0.3481
|
|
|
|
Random Noise Accuracy = 1544 / 10000 = 0.1544
|
|
|
|
Snapped Color Accuracy = 2091 / 10000 = 0.2091
|
|
|
|
1 Bit Accuracy = 5462 / 10000 = 0.5462
|
|
|
|
Plurality Vote Accuracy = 3287 / 10000 = 0.3287
|
|
|
|
|
|
## Gaussian Kuwahara Filter with Varying Radius
|
|
|
|
### Raw Program Output
|
|
====== EPSILON: 0.0 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Gaussian Kuwahara (strength = 1) = 9897 / 10000 = 0.9897
|
|
|
|
Gaussian Kuwahara (strength = 3) = 9766 / 10000 = 0.9766
|
|
|
|
Gaussian Kuwahara (strength = 5) = 9066 / 10000 = 0.9066
|
|
|
|
Gaussian Kuwahara (strength = 7) = 7355 / 10000 = 0.7355
|
|
|
|
Gaussian Kuwahara (strength = 9) = 5131 / 10000 = 0.5131
|
|
|
|
====== EPSILON: 0.025 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9796 / 10000 = 0.9796
|
|
|
|
Gaussian Kuwahara (strength = 1) = 9808 / 10000 = 0.9808
|
|
|
|
Gaussian Kuwahara (strength = 3) = 9667 / 10000 = 0.9667
|
|
|
|
Gaussian Kuwahara (strength = 5) = 8909 / 10000 = 0.8909
|
|
|
|
Gaussian Kuwahara (strength = 7) = 7035 / 10000 = 0.7035
|
|
|
|
Gaussian Kuwahara (strength = 9) = 4824 / 10000 = 0.4824
|
|
|
|
====== EPSILON: 0.05 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9600 / 10000 = 0.96
|
|
|
|
Gaussian Kuwahara (strength = 1) = 9651 / 10000 = 0.9651
|
|
|
|
Gaussian Kuwahara (strength = 3) = 9547 / 10000 = 0.9547
|
|
|
|
Gaussian Kuwahara (strength = 5) = 8700 / 10000 = 0.87
|
|
|
|
Gaussian Kuwahara (strength = 7) = 6713 / 10000 = 0.6713
|
|
|
|
Gaussian Kuwahara (strength = 9) = 4538 / 10000 = 0.4538
|
|
|
|
====== EPSILON: 0.07500000000000001 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9260 / 10000 = 0.926
|
|
|
|
Gaussian Kuwahara (strength = 1) = 9412 / 10000 = 0.9412
|
|
|
|
Gaussian Kuwahara (strength = 3) = 9334 / 10000 = 0.9334
|
|
|
|
Gaussian Kuwahara (strength = 5) = 8447 / 10000 = 0.8447
|
|
|
|
Gaussian Kuwahara (strength = 7) = 6354 / 10000 = 0.6354
|
|
|
|
Gaussian Kuwahara (strength = 9) = 4260 / 10000 = 0.426
|
|
|
|
====== EPSILON: 0.1 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 8753 / 10000 = 0.8753
|
|
|
|
Gaussian Kuwahara (strength = 1) = 9035 / 10000 = 0.9035
|
|
|
|
Gaussian Kuwahara (strength = 3) = 9107 / 10000 = 0.9107
|
|
|
|
Gaussian Kuwahara (strength = 5) = 8123 / 10000 = 0.8123
|
|
|
|
Gaussian Kuwahara (strength = 7) = 5970 / 10000 = 0.597
|
|
|
|
Gaussian Kuwahara (strength = 9) = 3915 / 10000 = 0.3915
|
|
|
|
====== EPSILON: 0.125 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 8104 / 10000 = 0.8104
|
|
|
|
Gaussian Kuwahara (strength = 1) = 8539 / 10000 = 0.8539
|
|
|
|
Gaussian Kuwahara (strength = 3) = 8785 / 10000 = 0.8785
|
|
|
|
Gaussian Kuwahara (strength = 5) = 7751 / 10000 = 0.7751
|
|
|
|
Gaussian Kuwahara (strength = 7) = 5616 / 10000 = 0.5616
|
|
|
|
Gaussian Kuwahara (strength = 9) = 3620 / 10000 = 0.362
|
|
|
|
====== EPSILON: 0.15000000000000002 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 7229 / 10000 = 0.7229
|
|
|
|
Gaussian Kuwahara (strength = 1) = 7925 / 10000 = 0.7925
|
|
|
|
Gaussian Kuwahara (strength = 3) = 8328 / 10000 = 0.8328
|
|
|
|
Gaussian Kuwahara (strength = 5) = 7328 / 10000 = 0.7328
|
|
|
|
Gaussian Kuwahara (strength = 7) = 5236 / 10000 = 0.5236
|
|
|
|
Gaussian Kuwahara (strength = 9) = 3344 / 10000 = 0.3344
|
|
|
|
====== EPSILON: 0.17500000000000002 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 6207 / 10000 = 0.6207
|
|
|
|
Gaussian Kuwahara (strength = 1) = 7078 / 10000 = 0.7078
|
|
|
|
Gaussian Kuwahara (strength = 3) = 7808 / 10000 = 0.7808
|
|
|
|
Gaussian Kuwahara (strength = 5) = 6816 / 10000 = 0.6816
|
|
|
|
Gaussian Kuwahara (strength = 7) = 4868 / 10000 = 0.4868
|
|
|
|
Gaussian Kuwahara (strength = 9) = 3090 / 10000 = 0.309
|
|
|
|
====== EPSILON: 0.2 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 5008 / 10000 = 0.5008
|
|
|
|
Gaussian Kuwahara (strength = 1) = 6125 / 10000 = 0.6125
|
|
|
|
Gaussian Kuwahara (strength = 3) = 7179 / 10000 = 0.7179
|
|
|
|
Gaussian Kuwahara (strength = 5) = 6301 / 10000 = 0.6301
|
|
|
|
Gaussian Kuwahara (strength = 7) = 4513 / 10000 = 0.4513
|
|
|
|
Gaussian Kuwahara (strength = 9) = 2865 / 10000 = 0.2865
|
|
|
|
====== EPSILON: 0.225 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 3894 / 10000 = 0.3894
|
|
|
|
Gaussian Kuwahara (strength = 1) = 4979 / 10000 = 0.4979
|
|
|
|
Gaussian Kuwahara (strength = 3) = 6460 / 10000 = 0.646
|
|
|
|
Gaussian Kuwahara (strength = 5) = 5773 / 10000 = 0.5773
|
|
|
|
Gaussian Kuwahara (strength = 7) = 4242 / 10000 = 0.4242
|
|
|
|
Gaussian Kuwahara (strength = 9) = 2702 / 10000 = 0.2702
|
|
|
|
====== EPSILON: 0.25 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 2922 / 10000 = 0.2922
|
|
|
|
Gaussian Kuwahara (strength = 1) = 3927 / 10000 = 0.3927
|
|
|
|
Gaussian Kuwahara (strength = 3) = 5640 / 10000 = 0.564
|
|
|
|
Gaussian Kuwahara (strength = 5) = 5197 / 10000 = 0.5197
|
|
|
|
Gaussian Kuwahara (strength = 7) = 3859 / 10000 = 0.3859
|
|
|
|
Gaussian Kuwahara (strength = 9) = 2493 / 10000 = 0.2493
|
|
|
|
====== EPSILON: 0.275 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 2149 / 10000 = 0.2149
|
|
|
|
Gaussian Kuwahara (strength = 1) = 3023 / 10000 = 0.3023
|
|
|
|
Gaussian Kuwahara (strength = 3) = 4761 / 10000 = 0.4761
|
|
|
|
Gaussian Kuwahara (strength = 5) = 4594 / 10000 = 0.4594
|
|
|
|
Gaussian Kuwahara (strength = 7) = 3494 / 10000 = 0.3494
|
|
|
|
Gaussian Kuwahara (strength = 9) = 2354 / 10000 = 0.2354
|
|
|
|
====== EPSILON: 0.30000000000000004 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 1599 / 10000 = 0.1599
|
|
|
|
Gaussian Kuwahara (strength = 1) = 2289 / 10000 = 0.2289
|
|
|
|
Gaussian Kuwahara (strength = 3) = 3839 / 10000 = 0.3839
|
|
|
|
Gaussian Kuwahara (strength = 5) = 3981 / 10000 = 0.3981
|
|
|
|
Gaussian Kuwahara (strength = 7) = 3182 / 10000 = 0.3182
|
|
|
|
Gaussian Kuwahara (strength = 9) = 2232 / 10000 = 0.2232
|
|
|
|
## Mean Kuwahara with Varying Radius
|
|
|
|
### Raw Program Output
|
|
====== EPSILON: 0.0 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Mean Kuwahara (strength = 1) = 9880 / 10000 = 0.988
|
|
|
|
Mean Kuwahara (strength = 3) = 7536 / 10000 = 0.7536
|
|
|
|
Mean Kuwahara (strength = 5) = 3667 / 10000 = 0.3667
|
|
|
|
Mean Kuwahara (strength = 7) = 1763 / 10000 = 0.1763
|
|
|
|
Mean Kuwahara (strength = 9) = 1339 / 10000 = 0.1339
|
|
|
|
====== EPSILON: 0.025 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9796 / 10000 = 0.9796
|
|
|
|
Mean Kuwahara (strength = 1) = 9795 / 10000 = 0.9795
|
|
|
|
Mean Kuwahara (strength = 3) = 7359 / 10000 = 0.7359
|
|
|
|
Mean Kuwahara (strength = 5) = 3496 / 10000 = 0.3496
|
|
|
|
Mean Kuwahara (strength = 7) = 1710 / 10000 = 0.171
|
|
|
|
Mean Kuwahara (strength = 9) = 1318 / 10000 = 0.1318
|
|
|
|
====== EPSILON: 0.05 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9600 / 10000 = 0.96
|
|
|
|
Mean Kuwahara (strength = 1) = 9650 / 10000 = 0.965
|
|
|
|
Mean Kuwahara (strength = 3) = 7129 / 10000 = 0.7129
|
|
|
|
Mean Kuwahara (strength = 5) = 3295 / 10000 = 0.3295
|
|
|
|
Mean Kuwahara (strength = 7) = 1637 / 10000 = 0.1637
|
|
|
|
Mean Kuwahara (strength = 9) = 1286 / 10000 = 0.1286
|
|
|
|
====== EPSILON: 0.07500000000000001 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9260 / 10000 = 0.926
|
|
|
|
Mean Kuwahara (strength = 1) = 9460 / 10000 = 0.946
|
|
|
|
Mean Kuwahara (strength = 3) = 6871 / 10000 = 0.6871
|
|
|
|
Mean Kuwahara (strength = 5) = 3119 / 10000 = 0.3119
|
|
|
|
Mean Kuwahara (strength = 7) = 1578 / 10000 = 0.1578
|
|
|
|
Mean Kuwahara (strength = 9) = 1244 / 10000 = 0.1244
|
|
|
|
====== EPSILON: 0.1 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 8753 / 10000 = 0.8753
|
|
|
|
Mean Kuwahara (strength = 1) = 9160 / 10000 = 0.916
|
|
|
|
Mean Kuwahara (strength = 3) = 6617 / 10000 = 0.6617
|
|
|
|
Mean Kuwahara (strength = 5) = 2841 / 10000 = 0.2841
|
|
|
|
Mean Kuwahara (strength = 7) = 1497 / 10000 = 0.1497
|
|
|
|
Mean Kuwahara (strength = 9) = 1228 / 10000 = 0.1228
|
|
|
|
====== EPSILON: 0.125 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 8104 / 10000 = 0.8104
|
|
|
|
Mean Kuwahara (strength = 1) = 8746 / 10000 = 0.8746
|
|
|
|
Mean Kuwahara (strength = 3) = 6317 / 10000 = 0.6317
|
|
|
|
Mean Kuwahara (strength = 5) = 2587 / 10000 = 0.2587
|
|
|
|
Mean Kuwahara (strength = 7) = 1422 / 10000 = 0.1422
|
|
|
|
Mean Kuwahara (strength = 9) = 1211 / 10000 = 0.1211
|
|
|
|
====== EPSILON: 0.15000000000000002 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 7229 / 10000 = 0.7229
|
|
|
|
Mean Kuwahara (strength = 1) = 8235 / 10000 = 0.8235
|
|
|
|
Mean Kuwahara (strength = 3) = 6019 / 10000 = 0.6019
|
|
|
|
Mean Kuwahara (strength = 5) = 2395 / 10000 = 0.2395
|
|
|
|
Mean Kuwahara (strength = 7) = 1360 / 10000 = 0.136
|
|
|
|
Mean Kuwahara (strength = 9) = 1193 / 10000 = 0.1193
|
|
|
|
====== EPSILON: 0.17500000000000002 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 6207 / 10000 = 0.6207
|
|
|
|
Mean Kuwahara (strength = 1) = 7499 / 10000 = 0.7499
|
|
|
|
Mean Kuwahara (strength = 3) = 5699 / 10000 = 0.5699
|
|
|
|
Mean Kuwahara (strength = 5) = 2253 / 10000 = 0.2253
|
|
|
|
Mean Kuwahara (strength = 7) = 1340 / 10000 = 0.134
|
|
|
|
Mean Kuwahara (strength = 9) = 1164 / 10000 = 0.1164
|
|
|
|
====== EPSILON: 0.2 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 5008 / 10000 = 0.5008
|
|
|
|
Mean Kuwahara (strength = 1) = 6650 / 10000 = 0.665
|
|
|
|
Mean Kuwahara (strength = 3) = 5420 / 10000 = 0.542
|
|
|
|
Mean Kuwahara (strength = 5) = 2168 / 10000 = 0.2168
|
|
|
|
Mean Kuwahara (strength = 7) = 1335 / 10000 = 0.1335
|
|
|
|
Mean Kuwahara (strength = 9) = 1138 / 10000 = 0.1138
|
|
|
|
====== EPSILON: 0.225 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 3894 / 10000 = 0.3894
|
|
|
|
Mean Kuwahara (strength = 1) = 5642 / 10000 = 0.5642
|
|
|
|
Mean Kuwahara (strength = 3) = 5087 / 10000 = 0.5087
|
|
|
|
Mean Kuwahara (strength = 5) = 2064 / 10000 = 0.2064
|
|
|
|
Mean Kuwahara (strength = 7) = 1328 / 10000 = 0.1328
|
|
|
|
Mean Kuwahara (strength = 9) = 1129 / 10000 = 0.1129
|
|
|
|
====== EPSILON: 0.25 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 2922 / 10000 = 0.2922
|
|
|
|
Mean Kuwahara (strength = 1) = 4739 / 10000 = 0.4739
|
|
|
|
Mean Kuwahara (strength = 3) = 4773 / 10000 = 0.4773
|
|
|
|
Mean Kuwahara (strength = 5) = 1993 / 10000 = 0.1993
|
|
|
|
Mean Kuwahara (strength = 7) = 1306 / 10000 = 0.1306
|
|
|
|
Mean Kuwahara (strength = 9) = 1145 / 10000 = 0.1145
|
|
|
|
====== EPSILON: 0.275 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 2149 / 10000 = 0.2149
|
|
|
|
Mean Kuwahara (strength = 1) = 3638 / 10000 = 0.3638
|
|
|
|
Mean Kuwahara (strength = 3) = 4370 / 10000 = 0.437
|
|
|
|
Mean Kuwahara (strength = 5) = 1921 / 10000 = 0.1921
|
|
|
|
Mean Kuwahara (strength = 7) = 1309 / 10000 = 0.1309
|
|
|
|
Mean Kuwahara (strength = 9) = 1159 / 10000 = 0.1159
|
|
|
|
====== EPSILON: 0.30000000000000004 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 1599 / 10000 = 0.1599
|
|
|
|
Mean Kuwahara (strength = 1) = 2659 / 10000 = 0.2659
|
|
|
|
Mean Kuwahara (strength = 3) = 3912 / 10000 = 0.3912
|
|
|
|
Mean Kuwahara (strength = 5) = 1854 / 10000 = 0.1854
|
|
|
|
Mean Kuwahara (strength = 7) = 1307 / 10000 = 0.1307
|
|
|
|
Mean Kuwahara (strength = 9) = 1166 / 10000 = 0.1166
|
|
|
|
## Bilateral Filter (Sigma = 50)
|
|
|
|
### Raw Program Output
|
|
====== EPSILON: 0.0 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Bilateral Filter (strength = 1) = 9887 / 10000 = 0.9887
|
|
|
|
Bilateral Filter (strength = 3) = 9887 / 10000 = 0.9887
|
|
|
|
Bilateral Filter (strength = 5) = 9391 / 10000 = 0.9391
|
|
|
|
Bilateral Filter (strength = 7) = 5584 / 10000 = 0.5584
|
|
|
|
Bilateral Filter (strength = 9) = 2568 / 10000 = 0.2568
|
|
|
|
====== EPSILON: 0.025 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9796 / 10000 = 0.9796
|
|
|
|
Bilateral Filter (strength = 1) = 9809 / 10000 = 0.9809
|
|
|
|
Bilateral Filter (strength = 3) = 9809 / 10000 = 0.9809
|
|
|
|
Bilateral Filter (strength = 5) = 9184 / 10000 = 0.9184
|
|
|
|
Bilateral Filter (strength = 7) = 5198 / 10000 = 0.5198
|
|
|
|
Bilateral Filter (strength = 9) = 2410 / 10000 = 0.241
|
|
|
|
====== EPSILON: 0.05 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9600 / 10000 = 0.96
|
|
|
|
Bilateral Filter (strength = 1) = 9695 / 10000 = 0.9695
|
|
|
|
Bilateral Filter (strength = 3) = 9695 / 10000 = 0.9695
|
|
|
|
Bilateral Filter (strength = 5) = 8902 / 10000 = 0.8902
|
|
|
|
Bilateral Filter (strength = 7) = 4831 / 10000 = 0.4831
|
|
|
|
Bilateral Filter (strength = 9) = 2245 / 10000 = 0.2245
|
|
|
|
====== EPSILON: 0.07500000000000001 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9260 / 10000 = 0.926
|
|
|
|
Bilateral Filter (strength = 1) = 9482 / 10000 = 0.9482
|
|
|
|
Bilateral Filter (strength = 3) = 9482 / 10000 = 0.9482
|
|
|
|
Bilateral Filter (strength = 5) = 8533 / 10000 = 0.8533
|
|
|
|
Bilateral Filter (strength = 7) = 4436 / 10000 = 0.4436
|
|
|
|
Bilateral Filter (strength = 9) = 2079 / 10000 = 0.2079
|
|
|
|
====== EPSILON: 0.1 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 8753 / 10000 = 0.8753
|
|
|
|
Bilateral Filter (strength = 1) = 9142 / 10000 = 0.9142
|
|
|
|
Bilateral Filter (strength = 3) = 9142 / 10000 = 0.9142
|
|
|
|
Bilateral Filter (strength = 5) = 8133 / 10000 = 0.8133
|
|
|
|
Bilateral Filter (strength = 7) = 4019 / 10000 = 0.4019
|
|
|
|
Bilateral Filter (strength = 9) = 1915 / 10000 = 0.1915
|
|
|
|
====== EPSILON: 0.125 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 8104 / 10000 = 0.8104
|
|
|
|
Bilateral Filter (strength = 1) = 8714 / 10000 = 0.8714
|
|
|
|
Bilateral Filter (strength = 3) = 8714 / 10000 = 0.8714
|
|
|
|
Bilateral Filter (strength = 5) = 7656 / 10000 = 0.7656
|
|
|
|
Bilateral Filter (strength = 7) = 3641 / 10000 = 0.3641
|
|
|
|
Bilateral Filter (strength = 9) = 1792 / 10000 = 0.1792
|
|
|
|
====== EPSILON: 0.15000000000000002 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 7229 / 10000 = 0.7229
|
|
|
|
Bilateral Filter (strength = 1) = 8169 / 10000 = 0.8169
|
|
|
|
Bilateral Filter (strength = 3) = 8169 / 10000 = 0.8169
|
|
|
|
Bilateral Filter (strength = 5) = 7098 / 10000 = 0.7098
|
|
|
|
Bilateral Filter (strength = 7) = 3299 / 10000 = 0.3299
|
|
|
|
Bilateral Filter (strength = 9) = 1681 / 10000 = 0.1681
|
|
|
|
====== EPSILON: 0.17500000000000002 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 6207 / 10000 = 0.6207
|
|
|
|
Bilateral Filter (strength = 1) = 7477 / 10000 = 0.7477
|
|
|
|
Bilateral Filter (strength = 3) = 7477 / 10000 = 0.7477
|
|
|
|
Bilateral Filter (strength = 5) = 6410 / 10000 = 0.641
|
|
|
|
Bilateral Filter (strength = 7) = 2978 / 10000 = 0.2978
|
|
|
|
Bilateral Filter (strength = 9) = 1610 / 10000 = 0.161
|
|
|
|
====== EPSILON: 0.2 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 5008 / 10000 = 0.5008
|
|
|
|
Bilateral Filter (strength = 1) = 6619 / 10000 = 0.6619
|
|
|
|
Bilateral Filter (strength = 3) = 6619 / 10000 = 0.6619
|
|
|
|
Bilateral Filter (strength = 5) = 5683 / 10000 = 0.5683
|
|
|
|
Bilateral Filter (strength = 7) = 2723 / 10000 = 0.2723
|
|
|
|
Bilateral Filter (strength = 9) = 1563 / 10000 = 0.1563
|
|
|
|
====== EPSILON: 0.225 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 3894 / 10000 = 0.3894
|
|
|
|
Bilateral Filter (strength = 1) = 5767 / 10000 = 0.5767
|
|
|
|
Bilateral Filter (strength = 3) = 5767 / 10000 = 0.5767
|
|
|
|
Bilateral Filter (strength = 5) = 5003 / 10000 = 0.5003
|
|
|
|
Bilateral Filter (strength = 7) = 2476 / 10000 = 0.2476
|
|
|
|
Bilateral Filter (strength = 9) = 1517 / 10000 = 0.1517
|
|
|
|
====== EPSILON: 0.25 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 2922 / 10000 = 0.2922
|
|
|
|
Bilateral Filter (strength = 1) = 4922 / 10000 = 0.4922
|
|
|
|
Bilateral Filter (strength = 3) = 4922 / 10000 = 0.4922
|
|
|
|
Bilateral Filter (strength = 5) = 4381 / 10000 = 0.4381
|
|
|
|
Bilateral Filter (strength = 7) = 2288 / 10000 = 0.2288
|
|
|
|
Bilateral Filter (strength = 9) = 1484 / 10000 = 0.1484
|
|
|
|
====== EPSILON: 0.275 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 2149 / 10000 = 0.2149
|
|
|
|
Bilateral Filter (strength = 1) = 4133 / 10000 = 0.4133
|
|
|
|
Bilateral Filter (strength = 3) = 4133 / 10000 = 0.4133
|
|
|
|
Bilateral Filter (strength = 5) = 3836 / 10000 = 0.3836
|
|
|
|
Bilateral Filter (strength = 7) = 2126 / 10000 = 0.2126
|
|
|
|
Bilateral Filter (strength = 9) = 1460 / 10000 = 0.146
|
|
|
|
====== EPSILON: 0.30000000000000004 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 1599 / 10000 = 0.1599
|
|
|
|
Bilateral Filter (strength = 1) = 3468 / 10000 = 0.3468
|
|
|
|
Bilateral Filter (strength = 3) = 3468 / 10000 = 0.3468
|
|
|
|
Bilateral Filter (strength = 5) = 3364 / 10000 = 0.3364
|
|
|
|
Bilateral Filter (strength = 7) = 1999 / 10000 = 0.1999
|
|
|
|
Bilateral Filter (strength = 9) = 1444 / 10000 = 0.1444
|
|
|
|
|
|
## Gaussian Blur
|
|
====== EPSILON: 0.0 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Gaussian Blur (strength = 1) = 9920 / 10000 = 0.992
|
|
|
|
Gaussian Blur (strength = 3) = 9879 / 10000 = 0.9879
|
|
|
|
Gaussian Blur (strength = 5) = 9682 / 10000 = 0.9682
|
|
|
|
Gaussian Blur (strength = 7) = 7731 / 10000 = 0.7731
|
|
|
|
Gaussian Blur (strength = 9) = 5250 / 10000 = 0.525
|
|
|
|
====== EPSILON: 0.025 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9796 / 10000 = 0.9796
|
|
|
|
Gaussian Blur (strength = 1) = 9796 / 10000 = 0.9796
|
|
|
|
Gaussian Blur (strength = 3) = 9801 / 10000 = 0.9801
|
|
|
|
Gaussian Blur (strength = 5) = 9512 / 10000 = 0.9512
|
|
|
|
Gaussian Blur (strength = 7) = 7381 / 10000 = 0.7381
|
|
|
|
Gaussian Blur (strength = 9) = 4862 / 10000 = 0.4862
|
|
|
|
====== EPSILON: 0.05 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9600 / 10000 = 0.96
|
|
|
|
Gaussian Blur (strength = 1) = 9600 / 10000 = 0.96
|
|
|
|
Gaussian Blur (strength = 3) = 9674 / 10000 = 0.9674
|
|
|
|
Gaussian Blur (strength = 5) = 9271 / 10000 = 0.9271
|
|
|
|
Gaussian Blur (strength = 7) = 6922 / 10000 = 0.6922
|
|
|
|
Gaussian Blur (strength = 9) = 4446 / 10000 = 0.4446
|
|
|
|
====== EPSILON: 0.07500000000000001 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 9260 / 10000 = 0.926
|
|
|
|
Gaussian Blur (strength = 1) = 9260 / 10000 = 0.926
|
|
|
|
Gaussian Blur (strength = 3) = 9460 / 10000 = 0.946
|
|
|
|
Gaussian Blur (strength = 5) = 8939 / 10000 = 0.8939
|
|
|
|
Gaussian Blur (strength = 7) = 6427 / 10000 = 0.6427
|
|
|
|
Gaussian Blur (strength = 9) = 3989 / 10000 = 0.3989
|
|
|
|
====== EPSILON: 0.1 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 8753 / 10000 = 0.8753
|
|
|
|
Gaussian Blur (strength = 1) = 8753 / 10000 = 0.8753
|
|
|
|
Gaussian Blur (strength = 3) = 9133 / 10000 = 0.9133
|
|
|
|
Gaussian Blur (strength = 5) = 8516 / 10000 = 0.8516
|
|
|
|
Gaussian Blur (strength = 7) = 5881 / 10000 = 0.5881
|
|
|
|
Gaussian Blur (strength = 9) = 3603 / 10000 = 0.3603
|
|
|
|
====== EPSILON: 0.125 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 8104 / 10000 = 0.8104
|
|
|
|
Gaussian Blur (strength = 1) = 8104 / 10000 = 0.8104
|
|
|
|
Gaussian Blur (strength = 3) = 8690 / 10000 = 0.869
|
|
|
|
Gaussian Blur (strength = 5) = 7989 / 10000 = 0.7989
|
|
|
|
Gaussian Blur (strength = 7) = 5278 / 10000 = 0.5278
|
|
|
|
Gaussian Blur (strength = 9) = 3263 / 10000 = 0.3263
|
|
|
|
====== EPSILON: 0.15000000000000002 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 7229 / 10000 = 0.7229
|
|
|
|
Gaussian Blur (strength = 1) = 7229 / 10000 = 0.7229
|
|
|
|
Gaussian Blur (strength = 3) = 8135 / 10000 = 0.8135
|
|
|
|
Gaussian Blur (strength = 5) = 7415 / 10000 = 0.7415
|
|
|
|
Gaussian Blur (strength = 7) = 4710 / 10000 = 0.471
|
|
|
|
Gaussian Blur (strength = 9) = 2968 / 10000 = 0.2968
|
|
|
|
====== EPSILON: 0.17500000000000002 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 6207 / 10000 = 0.6207
|
|
|
|
Gaussian Blur (strength = 1) = 6207 / 10000 = 0.6207
|
|
|
|
Gaussian Blur (strength = 3) = 7456 / 10000 = 0.7456
|
|
|
|
Gaussian Blur (strength = 5) = 6741 / 10000 = 0.6741
|
|
|
|
Gaussian Blur (strength = 7) = 4224 / 10000 = 0.4224
|
|
|
|
Gaussian Blur (strength = 9) = 2683 / 10000 = 0.2683
|
|
|
|
====== EPSILON: 0.2 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 5008 / 10000 = 0.5008
|
|
|
|
Gaussian Blur (strength = 1) = 5008 / 10000 = 0.5008
|
|
|
|
Gaussian Blur (strength = 3) = 6636 / 10000 = 0.6636
|
|
|
|
Gaussian Blur (strength = 5) = 5983 / 10000 = 0.5983
|
|
|
|
Gaussian Blur (strength = 7) = 3755 / 10000 = 0.3755
|
|
|
|
Gaussian Blur (strength = 9) = 2453 / 10000 = 0.2453
|
|
|
|
====== EPSILON: 0.225 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 3894 / 10000 = 0.3894
|
|
|
|
Gaussian Blur (strength = 1) = 3894 / 10000 = 0.3894
|
|
|
|
Gaussian Blur (strength = 3) = 5821 / 10000 = 0.5821
|
|
|
|
Gaussian Blur (strength = 5) = 5243 / 10000 = 0.5243
|
|
|
|
Gaussian Blur (strength = 7) = 3359 / 10000 = 0.3359
|
|
|
|
Gaussian Blur (strength = 9) = 2269 / 10000 = 0.2269
|
|
|
|
====== EPSILON: 0.25 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 2922 / 10000 = 0.2922
|
|
|
|
Gaussian Blur (strength = 1) = 2922 / 10000 = 0.2922
|
|
|
|
Gaussian Blur (strength = 3) = 5050 / 10000 = 0.505
|
|
|
|
Gaussian Blur (strength = 5) = 4591 / 10000 = 0.4591
|
|
|
|
Gaussian Blur (strength = 7) = 3034 / 10000 = 0.3034
|
|
|
|
Gaussian Blur (strength = 9) = 2112 / 10000 = 0.2112
|
|
|
|
====== EPSILON: 0.275 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 2149 / 10000 = 0.2149
|
|
|
|
Gaussian Blur (strength = 1) = 2149 / 10000 = 0.2149
|
|
|
|
Gaussian Blur (strength = 3) = 4290 / 10000 = 0.429
|
|
|
|
Gaussian Blur (strength = 5) = 3998 / 10000 = 0.3998
|
|
|
|
Gaussian Blur (strength = 7) = 2743 / 10000 = 0.2743
|
|
|
|
Gaussian Blur (strength = 9) = 1983 / 10000 = 0.1983
|
|
|
|
====== EPSILON: 0.30000000000000004 ======
|
|
|
|
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
|
|
|
|
Unfiltered Accuracy = 1599 / 10000 = 0.1599
|
|
|
|
Gaussian Blur (strength = 1) = 1599 / 10000 = 0.1599
|
|
|
|
Gaussian Blur (strength = 3) = 3648 / 10000 = 0.3648
|
|
|
|
Gaussian Blur (strength = 5) = 3481 / 10000 = 0.3481
|
|
|
|
Gaussian Blur (strength = 7) = 2493 / 10000 = 0.2493
|
|
|
|
Gaussian Blur (strength = 9) = 1884 / 10000 = 0.1884
|