Please use this identifier to cite or link to this item:
/library/oar/handle/123456789/127376| Title: | Enhanced computational imaging for microendoscopy |
| Authors: | Wilson, Stuart Henry Zhou, Yongzhuang Zammit, Paul Harvey, Andy R. |
| Keywords: | Imaging systems Intrinsic optical imaging Endoscopy Optics Optical detectors |
| Issue Date: | 2017 |
| Publisher: | Optica Publishing Group |
| Citation: | Wilson, S. H., Zhou, Y., Zammit, P., & Harvey, A. R. (2017). Enhanced Computational Imaging for Microendoscopy. 3D Image Acquisition and Display: Technology, Perception and Applications 2017, San Francisco. JTu5A-19. |
| Abstract: | Microendoscope imaging systems suffer from high levels of aberrations, a narrow Field of View and short Depth of Field. We present a technique for enhanced imaging through a microendoscope using a novel computational imaging approach. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/127376 |
| Appears in Collections: | Scholarly Works - FacEngESE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Enhanced_Computational_Imaging_for_Microendoscopy.pdf Restricted Access | 1.96 MB | Adobe PDF | View/Open Request a copy |
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