Anti-aliased Refocus Algorithm and Architecture for Sparse Light Field
Date Issued
2015
Date
2015
Author(s)
Jin, Ruei
Abstract
In recent years, a new research topic, computational photography refers to computational image capture, processing, and manipulation techniques that enhance or extend the capabilities of digital photography. Good examples of image capture and manipulation include panoramas, and high-dynamic-range imaging which is the use of differently exposed pictures of the same scene to extend dynamic range beyond even that of analog film-based media. Computational photography is a section between computer graphic and photography. Light field camera is also a hot topic in computational photography. The camera capture the ""lightrays"" instead of pixels. The cameras could be great depth sensor, and can do a lot of novel applications which traditional cameras cannot do, such as refocus, 3D model reconstruct. However, digital refocusing for sparsely sampled light elds results in aliasing effect which will get worse for higher image resolution or larger baseline. Previous works perform anti-aliasing by view interpolation but mostly apply time-consuming algorithms. In this thesis we study this aliasing problem and then a fast refocus algorithm with simple view interpolation is presented. The algorithm we proposed is called 1D-line-scan and 2D-line-scan algorithm. Our 1D-line-scan can be about 20 times faster than VSRS-1D-fast. Finally, a novel block-based 2D-line-scan is proposed. We develop the block-based version is for being hardware-oriented and found it can map to the Level C data reuse scheme. We further analyse and implement a pre-loading module to reduce the bandwidth cost. Totally speaking, a highly effective algorithm for digital refocusing is designed.
Subjects
light field
refocus
view synthesis
aliasing effect
data reuse scheme
Type
thesis
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