Supplementary Material of IMU-Assisted Robust Blur Kernel Re-Estimation in Non-Uniform Image Deblurring
This supplementary material contains additional comparative experimental results.
We compare the proposed method with BDSI1, DSPSI2, ASPDC3, M3SNet4, NAFNet5, EFDT6, SelfDeblur7, VDIP8, CIMBID9 and GAMD10 on the public dataset from CIMBID9.
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For a quantitative comparison of different methods using these real-world images, we use a deblurring metric introduced by 11. This metric allows us to assess deblurring results quantitatively, where higher values signify better deblurring quality.
Quantitative comparison with BDSI, DSPSI, ASPDC, M3SNet, NAFNet, EFDT, SelfDeblur, VDIP, CIMBID and GAMD on the public dataset is shown in the table below.
| Example | Blur | Ours | BDSI | DSPSI | ASPDC | M3SNet | NAFNet | EFDT | SelfDeblur | VDIP | CIMBID | GAMD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| #01 | -11.2445 | -6.6010 | -7.7394 | -9.5686 | -9.6105 | -10.2199 | -9.3732 | -9.5096 | -12.3482 | -8.9269 | -7.3765 | -9.5880 |
| #02 | -12.7530 | -7.4661 | -9.4947 | -10.8203 | -10.5854 | -11.3890 | -11.7498 | -11.5662 | -11.1049 | -10.3702 | -9.2331 | -10.7731 |
| #03 | -13.8704 | -7.8338 | -9.4071 | -11.6113 | -12.1604 | -11.8839 | -11.9703 | -11.9748 | -11.6265 | -10.8526 | -8.2509 | -11.1112 |
| #04 | -12.5138 | -8.3505 | -8.9111 | -10.9472 | -12.6569 | -13.1406 | -11.8283 | -10.9859 | -11.8240 | -11.7918 | -6.8767 | -10.0561 |
| Average | -12.5954 | -7.5629 | -8.8881 | -10.7369 | -11.2533 | -11.6584 | -11.2304 | -11.0091 | -11.7259 | -10.4854 | -7.9343 | -10.3821 |
We compare the proposed method with BDSI1, DSPSI2, ASPDC3, M3SNet4, NAFNet5, EFDT6, SelfDeblur7, VDIP8, CIMBID9 and GAMD10 on the proposed dataset.
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| Example #04 |
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| Example #18 |
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| Example #24 |
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Quantitative comparison with BDSI, DSPSI, ASPDC, M3SNet, NAFNet, EFDT, SelfDeblur, VDIP, CIMBID and GAMD on the full proposed dataset is shown in the table below.
| Example | Blur | Ours | BDSI | DSPSI | ASPDC | M3SNet | NAFNet | EFDT | SelfDeblur | VDIP | CIMBID | GAMD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| #01 | -14.2299 | -8.4303 | -10.1202 | -12.7717 | -12.7610 | -11.4985 | -14.3875 | -11.4029 | -14.0889 | -13.7468 | -11.5402 | -9.5651 |
| #02 | -9.5827 | -7.2969 | -7.7550 | -11.1013 | -9.3064 | -8.6934 | -10.2131 | -8.6472 | -9.7206 | -9.7240 | -11.5618 | -7.9661 |
| #03 | -10.3344 | -7.0323 | -13.0681 | -13.9908 | -9.8253 | -9.9756 | -10.5314 | -9.7753 | -10.6578 | -10.5409 | -12.3192 | -8.7487 |
| #04 | -9.8327 | -6.1239 | -8.9568 | -12.9896 | -9.1821 | -9.0354 | -10.8401 | -8.5073 | -10.0383 | -9.7866 | -9.3871 | -7.2160 |
| #05 | -8.8548 | -7.2641 | -7.5804 | -13.3703 | -8.8874 | -8.1637 | -9.4952 | -7.8183 | -8.7094 | -8.2746 | -10.3126 | -6.3930 |
| #06 | -9.3332 | -7.3985 | -7.8739 | -11.8843 | -8.6003 | -9.1244 | -9.6251 | -8.9136 | -9.0634 | -8.9603 | -9.1245 | -7.6856 |
| #07 | -10.8297 | -8.7588 | -9.1372 | -11.1475 | -10.2976 | -10.3487 | -10.8866 | -10.5002 | -11.1224 | -10.7797 | -11.4211 | -9.9066 |
| #08 | -10.7252 | -7.7959 | -8.1523 | -10.6616 | -10.1765 | -10.8158 | -10.5758 | -11.0737 | -11.4531 | -10.7046 | -9.7506 | -8.9586 |
| #09 | -8.7098 | -7.6488 | -7.9736 | -9.9873 | -8.4407 | -8.9775 | -8.9690 | -9.2261 | -8.8128 | -8.7977 | -8.7069 | -7.9521 |
| #10 | -10.1788 | -6.6942 | -9.4736 | -11.9584 | -9.0191 | -9.5080 | -10.6799 | -8.6291 | -10.2060 | -10.1041 | -10.9666 | -7.2690 |
| #11 | -8.8784 | -5.7760 | -10.8301 | -14.3212 | -8.5333 | -8.7637 | -9.6886 | -8.2267 | -8.9774 | -8.8247 | -9.4377 | -7.2537 |
| #12 | -10.5998 | -7.2472 | -12.2370 | -15.6571 | -9.6602 | -9.7213 | -11.1770 | -9.2494 | -9.8322 | -8.8489 | -12.7794 | -8.7189 |
| #13 | -10.0377 | -5.9846 | -8.8257 | -11.1666 | -7.9502 | -8.9996 | -10.1970 | -9.3490 | -9.4370 | -9.0338 | -10.2588 | -6.3445 |
| #14 | -13.5860 | -11.4174 | -15.3101 | -15.1848 | -11.5736 | -11.8136 | -13.4017 | -13.1168 | -14.4153 | -13.7340 | -12.1475 | -11.0398 |
| #15 | -10.6250 | -6.3864 | -8.5152 | -14.4129 | -8.8497 | -9.1823 | -11.1711 | -8.2824 | -10.0242 | -10.0310 | -11.7873 | -7.2836 |
| #16 | -12.7760 | -7.6617 | -12.0659 | -15.7520 | -11.1811 | -9.7448 | -12.8441 | -10.1712 | -12.7225 | -11.2023 | -13.2840 | -9.5225 |
| #17 | -9.1349 | -7.8922 | -7.5550 | -14.8067 | -8.6838 | -8.5554 | -9.0545 | -8.8435 | -13.1039 | -9.2014 | -10.5132 | -8.2917 |
| #18 | -7.8139 | -6.3981 | -7.0177 | -9.9497 | -6.8967 | -7.4360 | -7.8960 | -7.7172 | -7.7402 | -7.6044 | -9.4315 | -6.5126 |
| #19 | -7.7791 | -5.1361 | -6.1350 | -10.0236 | -6.4178 | -7.2561 | -8.4832 | -8.0752 | -7.6749 | -7.5310 | -7.3381 | -5.2859 |
| #20 | -8.7288 | -6.8535 | -6.8611 | -10.1206 | -8.0806 | -8.0215 | -8.2490 | -8.4467 | -8.6777 | -8.0888 | -8.7366 | -8.5228 |
| #21 | -9.9892 | -7.4999 | -7.8347 | -10.3566 | -8.5581 | -8.7530 | -9.8498 | -8.7204 | -10.0927 | -10.1350 | -10.1805 | -8.6313 |
| #22 | -8.2565 | -6.4141 | -7.0828 | -10.3714 | -7.8222 | -8.3561 | -8.1644 | -7.6854 | -8.1602 | -7.8964 | -9.2537 | -7.3795 |
| #23 | -10.5596 | -8.4695 | -11.0236 | -10.9863 | -10.5045 | -10.4873 | -10.8490 | -10.4558 | -10.5967 | -10.0067 | -11.5786 | -8.8920 |
| #24 | -7.4290 | -6.3265 | -6.5829 | -9.9197 | -7.5716 | -7.3804 | -7.3889 | -7.2018 | -7.2735 | -8.3577 | -7.8655 | -6.8204 |
| #25 | -8.6966 | -7.3209 | -7.3584 | -10.2487 | -8.6459 | -8.4864 | -8.7351 | -8.7708 | -8.7751 | -8.6232 | -9.5188 | -8.2231 |
| #26 | -10.4036 | -8.1406 | -9.8170 | -10.7759 | -9.4746 | -9.9278 | -10.2736 | -9.8876 | -10.8830 | -10.4039 | -11.7137 | -9.0665 |
| #27 | -8.3085 | -6.9525 | -9.0720 | -8.6901 | -8.3203 | -7.6965 | -8.4551 | -7.5666 | -8.2597 | -8.1728 | -8.3824 | -7.7096 |
| #28 | -10.3143 | -8.2867 | -11.8390 | -12.3479 | -9.0235 | -9.4168 | -10.7287 | -9.4159 | -10.5844 | -9.9678 | -9.3942 | -8.9728 |
| #29 | -9.2996 | -8.7272 | -9.7385 | -11.1071 | -9.1716 | -9.0826 | -9.3372 | -8.8763 | -9.4594 | -8.7742 | -8.4608 | -8.6932 |
| #30 | -8.1476 | -6.9149 | -9.4497 | -9.5444 | -7.0898 | -7.0563 | -8.2066 | -7.0195 | -8.0732 | -8.0185 | -10.4707 | -6.9506 |
| #31 | -8.9102 | -8.1518 | -9.3229 | -11.1002 | -8.6799 | -8.4040 | -8.9522 | -8.2892 | -8.9591 | -8.0575 | -11.3062 | -8.0516 |
| #32 | -9.8999 | -7.6313 | -8.0334 | -10.4726 | -8.0854 | -8.3027 | -9.4242 | -7.6278 | -9.0285 | -8.4252 | -8.0141 | -7.7741 |
| Average | -9.7745 | -7.3760 | -9.1437 | -11.7868 | -8.9772 | -9.0308 | -9.9603 | -8.9840 | -9.8945 | -9.4487 | -10.2170 | -8.0500 |
Full proposed dataset is available in here. This link is updated in 2025/01/16.