Fig. 1. The image degradation process

Fig. 2. Schematic diagram of up-sampling based on micro-scanning

Fig. 3. Three ways of micro-scanning

Fig. 4. Schematic diagram of reconstruction based on micro-scanning imaging

Fig. 5. Flow chart of our algorithm

Fig. 6. Schematic diagram of the experimental setup

Fig. 7. Schematic diagram of selection module. Left: Image sequence; Right: An image grid with complete sub-pixel information

Fig. 8. Four cases of displacement. (a) Four possible cases of pixel shift; (b) Four modes of integer pixel shift

Fig. 9. Schematic diagrams of information extraction in four integer pixel shift cases

Fig. 10. Schematic diagram of denoise module. (a) Schematic of matching same pixel of multiple images; (b) Pixel value and noise points (red circle) of same pixels

Fig. 11. Experiment sets of the active displacement imaging method

Fig. 12. Camera position (red point)

Fig. 13. Comparison result between ground truth and calculation. (a) Comparison result at 25 points; (b) Comparison of error at 25 points

Fig. 14. Super-resolution reconstruct results of different algorithms at scale of 4. (a) MFPOCS^[20]; (b) ACNet^[6]; (c) Ours

Fig. 15. MTF curves of different algorithms at different scales

Fig. 16. Original pictures and their ROI (red rectangle). (a) Simple image; (b) Complex image; (c) Panda image

Fig. 17. Comparison of the traditional interpolation and our interpolation at 4 times. (a) Ground truth; (b) Ours; (c) Linear; (d) Bicubic

Fig. 18. Super-resolution reconstruction results of simple image at different scales using the algorithms of MFPOCS^[20](yellow rectangle), ACNet^[6] (green rectangle) and ours (red rectangle)

Fig. 19. Super-resolution reconstruction results of ROI of simple image at different scales using the algorithm of MFPOCS^[20] (yellow rectangle), ACNet^[6] (green rectangle) and ours (red rectangle)

Fig. 20. Super-resolution results of the complex image using the algorithms of MFPOCS^[20] (yellow rectangle), ACNet^[6] (green rectangle) and ours (red rectangle)

Fig. 21. Super-resolution reconstruction results of panda image at different scales using the algorithms of MFPOCS^[20](yellow rectangle), ACNet^[6](green rectangle) and ours (red rectangle)

Fig. 22. Super-resolution reconstruction results of the complex image at different scales using the algorithms of MFPOCS^[20] (yellow rectangle), ACNet^[6] (green rectangle) and ours (red rectangle)

Fig. 23. Super-resolution reconstruction results of ROI of panda image at different scales using the algorithms of MFPOCS^[20](yellow rectangle), ACNet^[6] (green rectangle) and ours (red rectangle)