Improving Light Field Capture Using Hybrid Imaging

Simple item page
dc.contributor.advisorVeeraraghavan, Ashoken_US
dc.creatorBoominathan, Viveken_US
dc.date.accessioned2017-07-31T17:20:54Zen_US
dc.date.available2017-07-31T17:20:54Zen_US
dc.date.created2016-12en_US
dc.date.issued2016-12-01en_US
dc.date.submittedDecember 2016en_US
dc.date.updated2017-07-31T17:20:54Zen_US
dc.description.abstractLight Field imaging gives us the ability to perform post-capture focus manipulation, like refocusing and varying the depth-of-field (DOF). Although this ability is sought after in photography, an inherent problem arises when mapping the 4D light field function on a 2D sensor: reduction in resolution. Current light field cameras face this problem, producing low spatial resolution and hence has a limited DOF control. In contrast, a traditional high resolution camera, like DSLR, provide high spatial resolution and narrow DOF control at capture but no post-capture control. In this work, I propose a hybrid imaging system consisting of the two complementary imaging modalities: light field camera and standard high resolution camera, and show that the combined system enables (a) high-resolution digital refocusing, (b) better DOF control than light field cameras, and (c) render graceful high-resolution viewpoint variations. All of the above abilities were previously unachievable. In order to combine the output of the two modalities, I propose a simple patch-based algorithm that super-resolves the low-resolution views of the light field using the high-resolution patches captured using the high-resolution SLR camera. The algorithm does not require the light field camera and the DSLR to be co-located or for any calibration information regarding the two imaging systems. To depict the abilities of the hybrid imaging system, I built a prototype using a Lytro camera (380x380 pixel spatial resolution) and an 18 megapixel (MP) Canon DSLR camera. Via the prototype, I show 9x improvement in spatial resolution of the final light field (11.7 MP spatial resolution) and the ability to achieve 1/9th of the DOF of the Lytro camera. I show several experimental results on challenging scenes containing occlusions, specularities, and complex non-lambertian materials, demonstrating the effectiveness of our approach.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationBoominathan, Vivek. "Improving Light Field Capture Using Hybrid Imaging." (2016) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/95600">https://hdl.handle.net/1911/95600</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/95600en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectLight Fielden_US
dc.subjectHybriden_US
dc.subjectSuper-resolutionen_US
dc.subjectDepth of Fielden_US
dc.subjectLytroen_US
dc.titleImproving Light Field Capture Using Hybrid Imagingen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.majorComputational Photographyen_US
thesis.degree.nameMaster of Scienceen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
BOOMINATHAN-DOCUMENT-2016.pdf
Size:
345.14 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
PROQUEST_LICENSE.txt
Size:
5.85 KB
Format:
Plain Text
Description:
Download
No Thumbnail Available
Name:
LICENSE.txt
Size:
2.61 KB
Format:
Plain Text
Description:
Download
Collections
Rice University Theses and Dissertations