Research Article
No-Reference Stereoscopic IQA Approach: From Nonlinear Effect to Parallax Compensation
Table 4
PLCC, SRCC, KRCC, AAE, and RMSE values (after nonlinear regression) of testing and training groups in
and NOSPDM
1–NOSPDM
18.
| Metrics | PLCC | SRCC | KRCC | AAE | RMSE |
| (testing) | 0.9350 | — | — | 0.3500 | 0.4210 | (training) | 0.9660 | — | — | 0.2920 | 0.3670 | | 0.8934 | 0.8897 | 0.7066 | 0.4136 | 0.5234 | | 0.8943 | 0.8912 | 0.7097 | 0.4120 | 0.5212 | | 0.9350 | 0.9312 | 0.7666 | 0.3303 | 0.4133 | | 0.9360 | 0.9325 | 0.7699 | 0.3269 | 0.4100 | | 0.9318 | 0.9266 | 0.7609 | 0.3358 | 0.4228 | | 0.9288 | 0.9231 | 0.7556 | 0.3416 | 0.4316 | | 0.9493 | 0.9433 | 0.7926 | 0.2851 | 0.3664 | | 0.9665 | 0.9600 | 0.8284 | 0.2330 | 0.2992 | | 0.9705 | 0.9652 | 0.8416 | 0.2146 | 0.2807 | | 0.9502 | 0.9444 | 0.7951 | 0.2814 | 0.3630 | | 0.9673 | 0.9611 | 0.8313 | 0.2289 | 0.2955 | | 0.9711 | 0.9660 | 0.8442 | 0.2114 | 0.2782 | | 0.9470 | 0.9400 | 0.7878 | 0.2896 | 0.3741 | | 0.9638 | 0.9565 | 0.8223 | 0.2402 | 0.3106 | | 0.9676 | 0.9613 | 0.8340 | 0.2238 | 0.2942 | | 0.9445 | 0.9373 | 0.7837 | 0.2958 | 0.3827 | | 0.9610 | 0.9534 | 0.8162 | 0.2476 | 0.3220 | | 0.9647 | 0.9581 | 0.8278 | 0.2344 | 0.3067 |
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