Acta Optica Sinica, Volume. 39, Issue 11, 1111001(2019)
Image Defocus Simulation Technology Applied to Evaluation of Focused Morphology Recovery Algorithm
Fig. 1. Principle of focused morphology recovery
Fig. 2. Point sampling process
Fig. 3. Algorithm process of transforming single triangle patch to points
Fig. 4. Process of lens imaging
Fig. 5. Imaging plane coincides with image detector plane
Fig. 6. Imaging plane locates in front of image detector plane
Fig. 7. Imaging plane locates in back of image detector plane
Fig. 8. Calculation of simulation images
Fig. 9. Texture image and simulated results. (a) Texture image; (b) simulated image; (c) simulated sequence images
Fig. 10. Two complex models and corresponding simulated images. (a) Model A; (b) model B; (c) simulated images of model A; (d) simulated images of model B
Fig. 11. Grayscale images of focusing evaluation
Fig. 12. Depth maps obtained by different operators. (a) GLV operator; (b) SML operator
Fig. 13. Comparison of root mean square error
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Hao Wei, Haihua Cui, Xiaosheng Cheng, Xiaodi Zhang. Image Defocus Simulation Technology Applied to Evaluation of Focused Morphology Recovery Algorithm[J]. Acta Optica Sinica, 2019, 39(11): 1111001
Category: Imaging Systems
Received: Apr. 8, 2019
Accepted: Jul. 24, 2019
Published Online: Nov. 6, 2019
The Author Email: Cui Haihua (cuihh@nuaa.edu.cn)