Paper Info
Title
Super resolution inverse imaging for plenoptic camera using wavefield modeling
Abstract
A plenoptic camera consists of microlenses that enable the measuring of directional information. A common image formation model of the plenoptic camera is based on geometrical optics and provides an object reconstruction with a resolution equal to the number of microlenses. We use a more accurate model that takes into account the wave properties of light. A discrete formulation of this model is done in order to develop the inverse imaging technique which is efficient for super resolution object reconstruction even from noisy data. The proposed algorithm is based on a special modification of the IDD-BM3D deblurring algorithm. The achieved resolution highly exceeds the number of microlenses which is what we call super resolution imaging. Simulations show that the proposed strategy essentially outperforms the previously suggested method based on the wavefield modeling.
Year
DOI
Venue
2014
10.1109/3DTV.2014.6874735
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video
Keywords
Field
DocType
cameras,computerised instrumentation,geometrical optics,image resolution,image restoration,microlenses,IDD-BM3D deblurring algorithm,common image formation model,directional information measurement,geometrical optics,light wave property,microlens,object reconstruction,plenoptic camera,super resolution inverse imaging,wavefield modeling,Fourier optics,inverse imaging,plenoptic camera,super resolution,wavefield modeling
Computer vision,Inverse,Noisy data,Deblurring,Computer graphics (images),Computer science,Image formation,Artificial intelligence,Geometrical optics,Call super,Superresolution
Conference
ISSN
Citations 
PageRank 
2161-2021
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Petri Helin1163.06
Vladimir Katkovnik23414178.00
Atanas P. Gotchev322338.55
Jaakko Astola41515230.41