Scipediacontent: Scipediacontent moved page Draft Content 712987917 to Grogan et al 2018a

2021-02-03T19:30:57Z

Scipediacontent moved page Draft Content 712987917 to Grogan et al 2018a

Scipediacontent: Created page with " == Abstract == In recent years, light fields have become a major research topic and their applications span across the entire spectrum of classical image processing. Among t..."

2021-02-03T19:30:54Z

Created page with " == Abstract == In recent years, light fields have become a major research topic and their applications span across the entire spectrum of classical image processing. Among t..."

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== Abstract ==

In recent years, light fields have become a major research topic and their applications span across the entire spectrum of classical image processing. Among the different methods used to capture a light field are the lenslet cameras, such as those developed by Lytro. While these cameras give a lot of freedom to the user, they also create light field views that suffer from a number of artefacts. As a result, it is common to ignore a significant subset of these views when doing high-level light field processing. We propose a pipeline to process light field views, first with an enhanced processing of RAW images to extract subaperture images, then a colour correction process using a recent colour transfer algorithm, and finally a denoising process using a state of the art light field denoising approach. We show that our method improves the light field quality on many levels, by reducing ghosting artefacts and noise, as well as retrieving more accurate and homogeneous colours across the sub-aperture images.

Comment: IEEE International Conference on Image Processing 2018, 5 pages, 7 figure

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1808.05387 http://arxiv.org/abs/1808.05387]

* [http://arxiv.org/pdf/1808.05387 http://arxiv.org/pdf/1808.05387]

* [http://xplorestaging.ieee.org/ielx7/8436606/8451009/08451544.pdf?arnumber=8451544 http://xplorestaging.ieee.org/ielx7/8436606/8451009/08451544.pdf?arnumber=8451544],
: [http://dx.doi.org/10.1109/icip.2018.8451544 http://dx.doi.org/10.1109/icip.2018.8451544]

* [https://dblp.uni-trier.de/db/conf/icip/icip2018.html#MatysiakGPAS18 https://dblp.uni-trier.de/db/conf/icip/icip2018.html#MatysiakGPAS18],
: [https://sigport.org/documents/pipeline-lenslet-light-field-quality-enhancement https://sigport.org/documents/pipeline-lenslet-light-field-quality-enhancement],
: [https://www.arxiv-vanity.com/papers/1808.05387 https://www.arxiv-vanity.com/papers/1808.05387],
: [https://academic.microsoft.com/#/detail/2885095558 https://academic.microsoft.com/#/detail/2885095558]

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Scipediacontent: Scipediacontent moved page Draft Content 712987917 to Grogan et al 2018a

Scipediacontent: Created page with " == Abstract == In recent years, light fields have become a major research topic and their applications span across the entire spectrum of classical image processing. Among t..."