基于改进Transformer的结构化图像超分辨网络

吕鑫栋,李娇,邓真楠,冯浩,崔欣桐,邓红霞

Structured image super-resolution network based on improved Transformer

Xin-dong LV,Jiao LI,Zhen-nan DENG,Hao FENG,Xin-tong CUI,Hong-xia DENG

表 5 不同方法在医学CT数据集上的对比结果

Tab.5 Comparison results of different methods on medical CT dataset

放大因子 Bicubic SRGAN RNAN SPSR NLSN TransSRNet(Our) PSNR/dB, SSIM PSNR/dB, SSIM PSNR/dB, SSIM PSNR/dB, SSIM PSNR/dB, SSIM PSNR/dB, SSIM 2 30.111, 0.937 31.838, 0.942 36.223, 0.976 34.917, 0.969 36.514, 0.977 36.378, 0.976 3 27.310, 0.889 28.635, 0.909 31.764, 0.951 30.648, 0.941 31.840, 0.952 32.829, 0.956 4 25.751, 0.852 26.357, 0.875 29.467, 0.928 28.092, 0.914 29.552, 0.929 30.449, 0.936 8 22.872, 0.774 23.005, 0.802 24.546, 0.838 23.677, 0.828 24.597, 0.840 26.392, 0.881