Compressed sensing of a dichromatic color filter array

Growing interest in photography has given rise to demands for high quality images. Existing color filter array (CFA) topologies and signal sampling techniques, however, are limited. The former, which is predominantly Bayer, can at most capture 50% of the total green channel. The latter, on the other...

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Main Authors: Agno, Ailsa Rocel H., Apacible, Abbey V., Chin, John Wesley T., Gaffud, Christopher Jose S.
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Language:English
Published: Animo Repository 2014
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/12151
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-127962021-09-23T07:23:54Z Compressed sensing of a dichromatic color filter array Agno, Ailsa Rocel H. Apacible, Abbey V. Chin, John Wesley T. Gaffud, Christopher Jose S. Growing interest in photography has given rise to demands for high quality images. Existing color filter array (CFA) topologies and signal sampling techniques, however, are limited. The former, which is predominantly Bayer, can at most capture 50% of the total green channel. The latter, on the other hand, is inefficient. Contemporary signal sampling techniques typically require a complete representation of the input signal. This is, subsequently, computationally expensive. This paper proposes a new CFA topology, CY1Y2C, to theoretically extract the full green channel. However, such an approach results in an underdetermined system of linear equations, which cannot be handled by contemporary signal sampling and reconstruction methods. To address this concern, compressed sensing techniques will be used in conjunction with the proposed CFA. Said approach will involve the generation of a custom measurement matrix and recovery algorithms to yield a sparse representation of the input signal given only few measurements. 2014-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/12151 Bachelor's Theses English Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
description Growing interest in photography has given rise to demands for high quality images. Existing color filter array (CFA) topologies and signal sampling techniques, however, are limited. The former, which is predominantly Bayer, can at most capture 50% of the total green channel. The latter, on the other hand, is inefficient. Contemporary signal sampling techniques typically require a complete representation of the input signal. This is, subsequently, computationally expensive. This paper proposes a new CFA topology, CY1Y2C, to theoretically extract the full green channel. However, such an approach results in an underdetermined system of linear equations, which cannot be handled by contemporary signal sampling and reconstruction methods. To address this concern, compressed sensing techniques will be used in conjunction with the proposed CFA. Said approach will involve the generation of a custom measurement matrix and recovery algorithms to yield a sparse representation of the input signal given only few measurements.
format text
author Agno, Ailsa Rocel H.
Apacible, Abbey V.
Chin, John Wesley T.
Gaffud, Christopher Jose S.
spellingShingle Agno, Ailsa Rocel H.
Apacible, Abbey V.
Chin, John Wesley T.
Gaffud, Christopher Jose S.
Compressed sensing of a dichromatic color filter array
author_facet Agno, Ailsa Rocel H.
Apacible, Abbey V.
Chin, John Wesley T.
Gaffud, Christopher Jose S.
author_sort Agno, Ailsa Rocel H.
title Compressed sensing of a dichromatic color filter array
title_short Compressed sensing of a dichromatic color filter array
title_full Compressed sensing of a dichromatic color filter array
title_fullStr Compressed sensing of a dichromatic color filter array
title_full_unstemmed Compressed sensing of a dichromatic color filter array
title_sort compressed sensing of a dichromatic color filter array
publisher Animo Repository
publishDate 2014
url https://animorepository.dlsu.edu.ph/etd_bachelors/12151
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