DocumentCode :
2713617
Title :
An analysis of color demosaicing in plenoptic cameras
Author :
Yu, Zhan ; Yu, Jingyi ; Lumsdaine, Andrew ; Georgiev, Todor
Author_Institution :
Univ. of Delaware, Newark, DE, USA
fYear :
2012
fDate :
16-21 June 2012
Firstpage :
901
Lastpage :
908
Abstract :
A plenoptic camera captures the 4D radiance about a scene. Recent practical solutions mount a microlens array on top of a commodity SLR to directly acquire these rays. However, they suffer from low resolution as hundreds of thousands of views need to be captured in a single shot. In this paper, we develop a simple but effective technique for improving the image resolution of the plenoptic camera by maneuvering the demosaicing process. We first show that the traditional solution by demosaicing each individual microlens image and then blending them for view synthesis is suboptimal. In particular, this demosaicing process often suffers from aliasing artifacts, and it damages high frequency information recorded by each microlens image hence degrades the image quality. We instead propose to de-mosaic the synthesized view at the rendering stage. Specifically, we first transform the radiance to the desired focal plane and then apply frequency domain plenoptic resampling. A full resolution color filtered image is then created by performing a 2D integral projection from the reparam-eterized radiance. Finally, we conduct demosacing to obtain the color result. We show that our solution can achieve visible resolution enhancement on dynamic refocusing and depth-assisted deep focus rendering.
Keywords :
image colour analysis; image resolution; image segmentation; microlenses; rendering (computer graphics); 4D radiance; color demosaicing; color filtered image; commodity SLR; frequency domain plenoptic resampling; image quality; image resolution; microlens array; microlens image; plenoptic cameras; rendering; reparameterized radiance; Arrays; Cameras; Image color analysis; Image resolution; Lenses; Microoptics; Rendering (computer graphics);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
Conference_Location :
Providence, RI
ISSN :
1063-6919
Print_ISBN :
978-1-4673-1226-4
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2012.6247764
Filename :
6247764
Link To Document :
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