Acta Optica Sinica, Volume. 39, Issue 3, 0304001(2019)
Super-Resolution Algorithm Based on Precise Color Vector Constraint of Light Field Camera
Fig. 4. Distribution and location diagram of diffusion function points (a) and local magnification diagram (b)
Fig. 9. Original image information collected by LYTRO camera. (a) Image 1; (b) image 2
Fig. 11. Color recovery results of two sets of images. (a) Bilinear algorithm; (b) Lu's algorithm; (c) adaptive algorithm; (d) proposed algorithm
Fig. 12. Original image and sub-aperture images. (a) Original image; (b) sub-aperture image; (c) 7×7 sub-aperture images
Fig. 13. Original image and local magnified images. (a) Original image; (b) local magnification image 1; (c) local magnification image 2; (d) local two times enlarged image 3
Fig. 14. Experimental comparison of algorithms. (a) Toolbox W/O rectification+dual three-time on-sample; (b) toolbox W/O rectification+super-resolution; (c) document algorithm[25]; (d) proposed algorithm
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Fusheng Sun, Xie Han. Super-Resolution Algorithm Based on Precise Color Vector Constraint of Light Field Camera[J]. Acta Optica Sinica, 2019, 39(3): 0304001
Category: Detectors
Received: Aug. 28, 2018
Accepted: Oct. 18, 2018
Published Online: May. 10, 2019
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