Yuanhong ZHONG, Qianfeng XU, Yujie ZHOU, Shanshan WANG. Image reconstruction based on deep compressive sensing combined with global and local features[J]. Optics and Precision Engineering, 2023, 31(14): 2135
- Optics and Precision Engineering
- Vol. 31, Issue 14, 2135 (2023)
Fig. 1. Global-to-Local Compressive Sensing Image Reconstruction Model Structure
Fig. 2. 8 test images from Set11［32］
Fig. 3. Sampling rate is 10%， and the reconstruction images of each algorithm on the image House are compared
Fig. 4. Sampling rate is 20%， and the reconstruction image comparison of each algorithm on the image Monarch
Fig. 5. Change curve of loss with the number of training iterations （epochs） at 20% sampling rate
Fig. 6. G2LNet reconstruction image and filter flow visualization at 30% sampling rate
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Table 1. PSNR of reconstructed images of different algorithms in 8 pictures
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Table 2. PSNR of reconstructed images of different algorithms in multiple datasets
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Table 3. Comparison results of SSIM of reconstructed images with different algorithms
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Table 4. Comparing results with the same structured model without convolutional filter flow
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Table 5. Sampling rate is 10%， Comparison of the average running time of different algorithms in Set11
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