Laser & Optoelectronics Progress, Volume. 56, Issue 7, 071004(2019)
No-Reference Stereo Image Quality Assessment Based on Image Fusion
Figures & Tables(13)
Fig. 1. Framework of stereo image quality assessment algorithm based on fused image and convolutional neural network
Fig. 2. Left and right views and fused image of stereo image. (a) Left view; (b) right view; (c) fused image
Fig. 3. Results with normalized luminance coefficient. (a) Fused image with normalized luminance coefficient;(b) probability density distribution
Fig. 5. Predicted scatter plots. (a) LIVE 3D Phase I database; (b) LIVE 3D Phase II database
Table 1. RSROCC and RPLCC of different fused methods on LIVE 3D Phase I database
View tableTable 1. RSROCC and RPLCC of different fused methods on LIVE 3D Phase I database
Method R SROCCR PLCCLP 0.9462 0.9687 NSCT 0.9455 0.9688 GFF 0.9483 0.9642 DWT 0.9429 0.9675
Table 2. RSROCC and RPLCC of different fused methods on LIVE 3D Phase II database
View tableTable 2. RSROCC and RPLCC of different fused methods on LIVE 3D Phase II database
Method R SROCCR PLCCLP 0.9224 0.9237 NSCT 0.9218 0.9243 GFF 0.8955 0.9072 DWT 0.9342 0.9428
Table 3. RSROCC and RPLCC of different fused methods on MCL-3D database
View tableTable 3. RSROCC and RPLCC of different fused methods on MCL-3D database
Method R SROCCR PLCCLP 0.7940 0.7763 NSCT 0.7828 0.7765 GFF 0.8012 0.7921 DWT 0.8033 0.7822
Table 4. RSROCC of different methods on LIVE 3D Phase I database
View tableTable 4. RSROCC of different methods on LIVE 3D Phase I database
Method JP2K JPEG WN BLUR FF All PSNR 0.799 0.121 0.932 0.902 0.587 0.834 SSIM 0.858 0.436 0.938 0.879 0.586 0.876 Method in Ref. [1] 0.910 0.603 0.929 0.931 0.699 0.899 Method in Ref. [10] 0.875 0.614 0.943 0.937 0.781 0.921 Method in Ref. [9] 0.866 0.675 0.914 0.555 0.640 0.383 Method in Ref. [8] 0.863 0.617 0.919 0.877 0.652 0.891 Method in Ref. [15] 0.889 0.613 0.909 0.877 0.758 0.925 Method in Ref. [14] 0.837 0.638 0.931 0.833 0.649 0.892 Method in Ref. [16] 0.917 0.782 0.910 0.865 0.666 0.911 Proposed 0.786 0.929 0.952 0.964 1.000 0.943
Table 5. RPLCC of different methods on LIVE 3D Phase I database
View tableTable 5. RPLCC of different methods on LIVE 3D Phase I database
Method JP2K JPEG WN BLUR FF All PSNR 0.785 0.219 0.935 0.916 0.703 0.834 SSIM 0.865 0.487 0.939 0.919 0.721 0.872 Method in Ref. [1] 0.940 0.641 0.925 0.949 0.747 0.902 Method in Ref. [10] 0.923 0.656 0.941 0.951 0.840 0.924 Method in Ref. [9] 0.905 0.729 0.904 0.617 0.503 0.626 Method in Ref. [8] 0.907 0.695 0.917 0.968 0.735 0.895 Method in Ref. [15] 0.898 0.632 0.923 0.928 0.845 0.926 Method in Ref. [14] 0.848 0.626 0.925 0.899 0.707 0.887 Method in Ref. [16] 0.938 0.806 0.919 0.881 0.758 0.917 Proposed 0.984 0.870 0.968 0.985 0.991 0.968
Table 6. RSROCC of different methods on LIVE 3D Phase II database
View tableTable 6. RSROCC of different methods on LIVE 3D Phase II database
Method JP2K JPEG WN BLUR FF All PSNR 0.597 0.491 0.919 0.690 0.730 0.665 SSIM 0.704 0.678 0.922 0.828 0.834 0.792 Method in Ref. [1] 0.751 0.867 0.923 0.455 0.773 0.728 Method in Ref. [10] 0.847 0.719 0.845 0.800 0.850 0.745 Method in Ref. [9] 0.724 0.649 0.714 0.682 0.559 0.543 Method in Ref. [8] 0.867 0.867 0.950 0.900 0.933 0.880 Method in Ref. [14] 0.553 0.593 0.593 0.869 0.828 0.825 Method in Ref. [16] 0.864 0.839 0.932 0.846 0.860 0.888 Proposed 0.929 1.000 0.964 0.964 0.929 0.934
Table 7. RPLCC of different methods on LIVE 3D Phase II database
View tableTable 7. RPLCC of different methods on LIVE 3D Phase II database
Method JP2K JPEG WN BLUR FF All PSNR 0.597 0.491 0.919 0.690 0.730 0.665 SSIM 0.704 0.678 0.922 0.838 0.834 0.792 Method in Ref. [1] 0.784 0.853 0.926 0.535 0.807 0.748 Method in Ref. [10] 0.837 0.750 0.849 0.827 0.880 0.758 Method in Ref. [9] 0.766 0.786 0.722 0.795 0.674 0.568 Method in Ref. [8] 0.899 0.901 0.947 0.940 0.932 0.880 Method in Ref. [14] 0.634 0.647 0.904 0.967 0.851 0.818 Method in Ref. [16] 0.867 0.829 0.920 0.878 0.836 0.845 Proposed 0.939 0.932 0.971 0.987 0.960 0.943
Table 8. RPLCC and RSROCC of different methods on MCL-3D database
View tableTable 8. RPLCC and RSROCC of different methods on MCL-3D database
Metric 3DSwIM You(l) You(g) StSd Benoit Gorley ST-SIAQ NIQSV Proposed R PLCC0.6497 0.7504 0.3650 0.6995 0.7425 0.7099 0.7133 0.6783 0.7822 R SROCC0.5683 0.7567 0.6609 0.7008 0.7518 0.7196 0.7034 0.6208 0.8033
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Shuyu Huang, Qingbing Sang. No-Reference Stereo Image Quality Assessment Based on Image Fusion[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071004
Paper Information
Category: Image Processing
Received: Sep. 18, 2018
Accepted: Oct. 25, 2018
Published Online: Jul. 30, 2019
The Author Email: Qingbing Sang (sangqb@163.com)
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