Improving Light Field Capture Using Hybrid Imaging

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dc.contributor.advisorVeeraraghavan, Ashok
dc.creatorBoominathan, Vivek
dc.date.accessioned2017-07-31T17:20:54Z
dc.date.available2017-07-31T17:20:54Z
dc.date.created2016-12
dc.date.issued2016-12-01
dc.date.submittedDecember 2016
dc.date.updated2017-07-31T17:20:54Z
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.
dc.format.mimetypeapplication/pdf
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>.
dc.identifier.urihttps://hdl.handle.net/1911/95600
dc.language.isoeng
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.
dc.subjectLight Field
dc.subjectHybrid
dc.subjectSuper-resolution
dc.subjectDepth of Field
dc.subjectLytro
dc.titleImproving Light Field Capture Using Hybrid Imaging
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.majorComputational Photography
thesis.degree.nameMaster of Science
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