Bayesian reconstruction of color images acquired with a single CCD

Miguel Vega; Rafael Molina; Aggelos K. Katsaggelos

doi:10.1007/11492429_42

Bayesian reconstruction of color images acquired with a single CCD

Miguel Vega^*, Rafael Molina, Aggelos K. Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

Most of the available digital color cameras use a single Coupled Charge Device (CCD) with a Color Filter Array (CFA) in acquiring an image. In order to produce a visible color image a demosaicing process must be applied, which produces undesirable artifacts. This paper addresses the demosaicing problem from a superresolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed images and the model parameters is generated.

Original language	English (US)
Pages (from-to)	343-350
Number of pages	8
Journal	Lecture Notes in Computer Science
Volume	3522
Issue number	I
DOIs	https://doi.org/10.1007/11492429_42
State	Published - 2005
Event	Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005 - Estoril, Portugal Duration: Jun 7 2005 → Jun 9 2005

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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title = "Bayesian reconstruction of color images acquired with a single CCD",

abstract = "Most of the available digital color cameras use a single Coupled Charge Device (CCD) with a Color Filter Array (CFA) in acquiring an image. In order to produce a visible color image a demosaicing process must be applied, which produces undesirable artifacts. This paper addresses the demosaicing problem from a superresolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed images and the model parameters is generated.",

author = "Miguel Vega and Rafael Molina and Katsaggelos, {Aggelos K.}",

year = "2005",

doi = "10.1007/11492429_42",

language = "English (US)",

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journal = "Lecture Notes in Computer Science",

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T1 - Bayesian reconstruction of color images acquired with a single CCD

AU - Vega, Miguel

AU - Molina, Rafael

AU - Katsaggelos, Aggelos K.

PY - 2005

Y1 - 2005

N2 - Most of the available digital color cameras use a single Coupled Charge Device (CCD) with a Color Filter Array (CFA) in acquiring an image. In order to produce a visible color image a demosaicing process must be applied, which produces undesirable artifacts. This paper addresses the demosaicing problem from a superresolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed images and the model parameters is generated.

AB - Most of the available digital color cameras use a single Coupled Charge Device (CCD) with a Color Filter Array (CFA) in acquiring an image. In order to produce a visible color image a demosaicing process must be applied, which produces undesirable artifacts. This paper addresses the demosaicing problem from a superresolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed images and the model parameters is generated.

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DO - 10.1007/11492429_42

M3 - Conference article

AN - SCOPUS:25144454921

SN - 0302-9743

VL - 3522

SP - 343

EP - 350

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - I

T2 - Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005

Y2 - 7 June 2005 through 9 June 2005

ER -

Bayesian reconstruction of color images acquired with a single CCD

Abstract

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