NDLI: Dictionary Learning Based Color Demosaicing for Plenoptic Cameras

Content Provider	IEEE Xplore Digital Library
Author	Xiang Huang Cossairt, O.
Copyright Year	2014
Description	Author affiliation: Northwestern Univ., Evanston, IL, USA (Xiang Huang; Cossairt, O.)
Abstract	Recently plenoptic cameras have gained much attention, as they capture the 4D light field of a scene which is useful for numerous computer vision and graphics applications. Similar to traditional digital cameras, plenoptic cameras use a color filter array placed onto the image sensor so that each pixel only samples one of three primary color values. A color demosaicing algorithm is then used to generate a full-color plenoptic image, which often introduces color aliasing artifacts. In this paper, we propose a dictionary learning based demosaicing algorithm that recovers a full-color light field from a captured plenoptic image using sparse optimization. Traditional methods consider only spatial correlations between neighboring pixels on a captured plenoptic image. Our method takes advantage of both spatial and angular correlations inherent in naturally occurring light fields. We demonstrate that our method outperforms traditional color demosaicing methods by performing experiments on a wide variety of scenes.
Sponsorship	IEEE Comput. Soc.
Starting Page	455
Ending Page	460
File Size	1495767
Page Count	6
File Format	PDF
ISBN	9781479943081
ISSN	21607516
DOI	10.1109/CVPRW.2014.73
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Interpolation Dictionaries Correlation Image color analysis Cameras Image reconstruction
Content Type	Text
Resource Type	Article

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