基于多维协同注意力的双支特征联合去雾网络
|
杨燕,晁丽鹏
|
A two-branch feature joint dehazing network based on multidimensional collaborative attention
|
Yan YANG,Lipeng CHAO
|
|
表 3 不同方法的客观评价指标对比 |
Tab.3 Comparison of objective evaluations of different methods |
|
方法 | SOTS-indoor | | SOTS-outdoor | | Haze-RD | PSNR | SSIM | | PSNR | SSIM | | PSNR | SSIM | DCP | 15.745 | 0.791 | | 15.241 | 0.745 | | 11.373 | 0.741 | DehazeNet | 19.570 | 0.861 | | 22.078 | 0.883 | | 14.360 | 0.763 | AOD-Net | 16.183 | 0.823 | | 18.721 | 0.854 | | 15.222 | 0.744 | GCA-Net | 25.652 | 0.956 | | 27.307 | 0.902 | | 12.286 | 0.602 | UHD | 16.240 | 0.783 | | 16.154 | 0.807 | | 14.043 | 0.778 | SGID | 18.360 | 0.907 | | 21.743 | 0.668 | | 14.473 | 0.782 | DehazeFormer | 22.758 | 0.899 | | 22.572 | 0.942 | | 14.242 | 0.780 | DEA-Net | 27.294 | 0.907 | | 19.295 | 0.806 | | 13.218 | 0.750 | 本研究算法 | 23.429 | 0.910 | | 28.369 | 0.961 | | 16.023 | 0.791 |
|
|
|