A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images
Abstract Most of the available digital color cameras use a single image sensor 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. An additional problem appears when the observe...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Vega, Miguel [verfasserIn] Molina, Rafael [verfasserIn] Katsaggelos, Aggelos K [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2006 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: EURASIP journal on advances in signal processing - Heidelberg : Springer, 2007, 2006(2006), 1 vom: 01. Dez. |
|---|---|
| Übergeordnetes Werk: |
volume:2006 ; year:2006 ; number:1 ; day:01 ; month:12 |
| Links: |
|---|
| DOI / URN: |
10.1155/ASP/2006/25072 |
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SPR031981003 |
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| 520 | |a Abstract Most of the available digital color cameras use a single image sensor 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. An additional problem appears when the observed color image is also blurred. This paper addresses the problem of deconvolving color images observed with a single coupled charged device (CCD) from the super-resolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed image and the model parameters is generated. The proposed method is tested on real images. | ||
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10.1155/ASP/2006/25072 doi (DE-627)SPR031981003 (SPR)25072-e DE-627 ger DE-627 rakwb eng 620 ASE 53.73 bkl Vega, Miguel verfasserin aut A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Most of the available digital color cameras use a single image sensor 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. An additional problem appears when the observed color image is also blurred. This paper addresses the problem of deconvolving color images observed with a single coupled charged device (CCD) from the super-resolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed image and the model parameters is generated. The proposed method is tested on real images. Reconstructed Image (dpeaa)DE-He213 Quantum Information (dpeaa)DE-He213 Color Image (dpeaa)DE-He213 Couple Charged Device (dpeaa)DE-He213 Single Image (dpeaa)DE-He213 Molina, Rafael verfasserin aut Katsaggelos, Aggelos K verfasserin aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2006(2006), 1 vom: 01. Dez. (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2006 year:2006 number:1 day:01 month:12 https://dx.doi.org/10.1155/ASP/2006/25072 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_161 GBV_ILN_170 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2522 53.73 ASE AR 2006 2006 1 01 12 |
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10.1155/ASP/2006/25072 doi (DE-627)SPR031981003 (SPR)25072-e DE-627 ger DE-627 rakwb eng 620 ASE 53.73 bkl Vega, Miguel verfasserin aut A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Most of the available digital color cameras use a single image sensor 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. An additional problem appears when the observed color image is also blurred. This paper addresses the problem of deconvolving color images observed with a single coupled charged device (CCD) from the super-resolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed image and the model parameters is generated. The proposed method is tested on real images. Reconstructed Image (dpeaa)DE-He213 Quantum Information (dpeaa)DE-He213 Color Image (dpeaa)DE-He213 Couple Charged Device (dpeaa)DE-He213 Single Image (dpeaa)DE-He213 Molina, Rafael verfasserin aut Katsaggelos, Aggelos K verfasserin aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2006(2006), 1 vom: 01. Dez. (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2006 year:2006 number:1 day:01 month:12 https://dx.doi.org/10.1155/ASP/2006/25072 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_161 GBV_ILN_170 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2522 53.73 ASE AR 2006 2006 1 01 12 |
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10.1155/ASP/2006/25072 doi (DE-627)SPR031981003 (SPR)25072-e DE-627 ger DE-627 rakwb eng 620 ASE 53.73 bkl Vega, Miguel verfasserin aut A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Most of the available digital color cameras use a single image sensor 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. An additional problem appears when the observed color image is also blurred. This paper addresses the problem of deconvolving color images observed with a single coupled charged device (CCD) from the super-resolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed image and the model parameters is generated. The proposed method is tested on real images. Reconstructed Image (dpeaa)DE-He213 Quantum Information (dpeaa)DE-He213 Color Image (dpeaa)DE-He213 Couple Charged Device (dpeaa)DE-He213 Single Image (dpeaa)DE-He213 Molina, Rafael verfasserin aut Katsaggelos, Aggelos K verfasserin aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2006(2006), 1 vom: 01. Dez. (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2006 year:2006 number:1 day:01 month:12 https://dx.doi.org/10.1155/ASP/2006/25072 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_161 GBV_ILN_170 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2522 53.73 ASE AR 2006 2006 1 01 12 |
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10.1155/ASP/2006/25072 doi (DE-627)SPR031981003 (SPR)25072-e DE-627 ger DE-627 rakwb eng 620 ASE 53.73 bkl Vega, Miguel verfasserin aut A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Most of the available digital color cameras use a single image sensor 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. An additional problem appears when the observed color image is also blurred. This paper addresses the problem of deconvolving color images observed with a single coupled charged device (CCD) from the super-resolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed image and the model parameters is generated. The proposed method is tested on real images. Reconstructed Image (dpeaa)DE-He213 Quantum Information (dpeaa)DE-He213 Color Image (dpeaa)DE-He213 Couple Charged Device (dpeaa)DE-He213 Single Image (dpeaa)DE-He213 Molina, Rafael verfasserin aut Katsaggelos, Aggelos K verfasserin aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2006(2006), 1 vom: 01. Dez. (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2006 year:2006 number:1 day:01 month:12 https://dx.doi.org/10.1155/ASP/2006/25072 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_161 GBV_ILN_170 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2522 53.73 ASE AR 2006 2006 1 01 12 |
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10.1155/ASP/2006/25072 doi (DE-627)SPR031981003 (SPR)25072-e DE-627 ger DE-627 rakwb eng 620 ASE 53.73 bkl Vega, Miguel verfasserin aut A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Most of the available digital color cameras use a single image sensor 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. An additional problem appears when the observed color image is also blurred. This paper addresses the problem of deconvolving color images observed with a single coupled charged device (CCD) from the super-resolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed image and the model parameters is generated. The proposed method is tested on real images. Reconstructed Image (dpeaa)DE-He213 Quantum Information (dpeaa)DE-He213 Color Image (dpeaa)DE-He213 Couple Charged Device (dpeaa)DE-He213 Single Image (dpeaa)DE-He213 Molina, Rafael verfasserin aut Katsaggelos, Aggelos K verfasserin aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2006(2006), 1 vom: 01. Dez. (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2006 year:2006 number:1 day:01 month:12 https://dx.doi.org/10.1155/ASP/2006/25072 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_161 GBV_ILN_170 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2522 53.73 ASE AR 2006 2006 1 01 12 |
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A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images |
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A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images |
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bayesian super-resolution approach to demosaicing of blurred images |
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A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images |
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Abstract Most of the available digital color cameras use a single image sensor 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. An additional problem appears when the observed color image is also blurred. This paper addresses the problem of deconvolving color images observed with a single coupled charged device (CCD) from the super-resolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed image and the model parameters is generated. The proposed method is tested on real images. |
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Abstract Most of the available digital color cameras use a single image sensor 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. An additional problem appears when the observed color image is also blurred. This paper addresses the problem of deconvolving color images observed with a single coupled charged device (CCD) from the super-resolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed image and the model parameters is generated. The proposed method is tested on real images. |
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Abstract Most of the available digital color cameras use a single image sensor 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. An additional problem appears when the observed color image is also blurred. This paper addresses the problem of deconvolving color images observed with a single coupled charged device (CCD) from the super-resolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed image and the model parameters is generated. The proposed method is tested on real images. |
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