Effect of noise in image restoration of Multi-aperture Telescope
Identifieur interne : 000B18 ( Main/Exploration ); précédent : 000B17; suivant : 000B19Effect of noise in image restoration of Multi-aperture Telescope
Auteurs : ZHIWEI ZHOU [République populaire de Chine] ; DAYONG WANG [République populaire de Chine] ; YUNXIN WAN [République populaire de Chine] ; YUHONG WAN [République populaire de Chine]Source :
- Proceedings of SPIE, the International Society for Optical Engineering [ 0277-786X ] ; 2010.
Descripteurs français
- Pascal (Inist)
- Restauration image, Traitement image, Haute résolution, Image multiple, Qualité image, Image floue, Télescope, Résolution angulaire, Miroir, Bruit additif, Niveau bruit, Diamètre, Filtre Wiener, Fonction transfert, Rapport signal bruit, Réduction bruit, Variation totale, Déconvolution aveugle, Méthode itérative, Télévision.
- Wicri :
- topic : Télévision.
English descriptors
- KwdEn :
- Additive noise, Angular resolution, Blind deconvolution, Blurred image, Diameter, High resolution, Image processing, Image quality, Image restoration, Iterative method, Mirror, Multiple image, Noise level, Noise reduction, Signal to noise ratio, Telescope, Television, Total variation, Transfer function, Wiener filter.
Abstract
Multi-aperture telescope is proposed to achieve high angular resolution without fabricating a large diameter monolithic primary mirror. Due to the array structure, the multi-aperture telescope has almost the same cut-off frequency as an equivalent diameter telescope, but decrease in the area of light collecting, which is the reason that the direct output image of multi-aperture telescope is blurred and low contrast. The additive noise level is another reason for low image quality. The Wiener filter is sensitive to noise because of the zero value out of the cut-off frequency in optical transfer function. An alternative image deblurring method is total variation (TV) blind deconvolution. The TV method is an iterative algorithm and preserves the edge information well. The most important characteristic of TV blind deconvolution is that the algorithm is still working with high noise level and produces reasonable result.
Affiliations:
Links toward previous steps (curation, corpus...)
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- to stream PascalFrancis, to step Curation: 000157
- to stream PascalFrancis, to step Checkpoint: 000124
- to stream Main, to step Merge: 000B23
- to stream Main, to step Curation: 000B18
Le document en format XML
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Additive noise</term>
<term>Angular resolution</term>
<term>Blind deconvolution</term>
<term>Blurred image</term>
<term>Diameter</term>
<term>High resolution</term>
<term>Image processing</term>
<term>Image quality</term>
<term>Image restoration</term>
<term>Iterative method</term>
<term>Mirror</term>
<term>Multiple image</term>
<term>Noise level</term>
<term>Noise reduction</term>
<term>Signal to noise ratio</term>
<term>Telescope</term>
<term>Television</term>
<term>Total variation</term>
<term>Transfer function</term>
<term>Wiener filter</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Restauration image</term>
<term>Traitement image</term>
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<term>Image multiple</term>
<term>Qualité image</term>
<term>Image floue</term>
<term>Télescope</term>
<term>Résolution angulaire</term>
<term>Miroir</term>
<term>Bruit additif</term>
<term>Niveau bruit</term>
<term>Diamètre</term>
<term>Filtre Wiener</term>
<term>Fonction transfert</term>
<term>Rapport signal bruit</term>
<term>Réduction bruit</term>
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<term>Déconvolution aveugle</term>
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<front><div type="abstract" xml:lang="en">Multi-aperture telescope is proposed to achieve high angular resolution without fabricating a large diameter monolithic primary mirror. Due to the array structure, the multi-aperture telescope has almost the same cut-off frequency as an equivalent diameter telescope, but decrease in the area of light collecting, which is the reason that the direct output image of multi-aperture telescope is blurred and low contrast. The additive noise level is another reason for low image quality. The Wiener filter is sensitive to noise because of the zero value out of the cut-off frequency in optical transfer function. An alternative image deblurring method is total variation (TV) blind deconvolution. The TV method is an iterative algorithm and preserves the edge information well. The most important characteristic of TV blind deconvolution is that the algorithm is still working with high noise level and produces reasonable result.</div>
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