Xingyu Chen, Weijin Zhang, Weizhi Sun, Ping'an Ren, Ou Ou. Super-Resolution Reconstruction of Images Based on Multi-Scale and Multi-Residual Network[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181009
- Laser & Optoelectronics Progress
- Vol. 57, Issue 18, 181009 (2020)
Fig. 1. Multi-scale and multi-residual super-resolution reconstruction network structure
Fig. 2. Multi-scale residual module structure
Fig. 3. Average PSNR variation for each training cycle
Fig. 4. Subjective comparison of super-resolution results of butterfly images processed by different algorithms under four times magnification factor. (a) GT; (b) BICUBIC algorithm; (c) ESPCN algorithm; (d) SRCNN algorithm; (e) VDSR algorithm; (f) IMRSR algorithm
Fig. 5. Subjective comparison of super-resolution results of PPT images processed by different algorithms under four times magnification factor. (a) GT; (b) BICUBIC algorithm; (c) ESPCN algorithm; (d) SRCNN algorithm; (e) VDSR algorithm; (f) IMRSR algorithm
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Table 1. Effects of number of different multi-scale residual blocks on PSNR
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Table 2. Average PSNR of different algorithms for different super-resolution reconstructions on different test setsunit: dB
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Table 3. Average SSIM of different algorithms for different super-resolution reconstructions on different test sets
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