Abstract
Capturing light field data with a plenoptic camera has been discussed extensively in the literature. However, recent improvements in digital imaging have made demonstration and commercialization of plenoptic cameras feasible. The raw images obtained with plenoptic cameras consist of an array of small circular images, each of which capture local spatial and trajectory information regarding the light rays incident on that point. Here, we seek to develop techniques for representing such images with a natural set of basis functions. In doing so, reconstruction of slices through the light field data, as well as image compression can be easily achieved.
Original language | English |
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Title of host publication | Novel Optical Systems Design and Optimization XV |
Publisher | SPIE |
ISBN (Print) | 9780819492043 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | Conference on Novel Optical Systems Design and Optimization XV - San Diego, United States of America Duration: 15 Aug 2012 → 16 Aug 2012 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/8487.toc |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 8487 |
ISSN (Print) | 0277-786X |
Conference
Conference | Conference on Novel Optical Systems Design and Optimization XV |
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Country/Territory | United States of America |
City | San Diego |
Period | 15/08/12 → 16/08/12 |
Internet address |
Keywords
- Compression
- Computational photography
- Light field
- Plenoptic camera
- Zernike polynomials