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Efficient Color Correction Using Normalized Singular Value: for Duststorm Image Enhancement - Tapa blanda

 
9786205513309: Efficient Color Correction Using Normalized Singular Value: for Duststorm Image Enhancement

Sinopsis

A duststorm image has a reddish or yellowish color cast. Though a duststorm image and a hazy image are obtained using the same pro-cess, a hazy image has no color distortion as it has not been disturbed by particles, but a duststorm image has color distortion owing to an imbalance in the color channel, which is disturbed by sand particles. As a result, a duststorm image has a degraded color channel, which is rare in certain channels. Therefore, a color balance step is needed to enhance a duststorm image naturally. This study goes through two steps to im-prove a duststorm image. In general, the dark channel prior (DCP) is frequently applied in the dehazing step. However, the existing DCP method has a halo effect similar to an over-enhanced image due to a dark channel and a patch image. According to this point, this study proposes to adjustable DCP (ADCP). In the experiment results, the proposed method was superior to state-of-the-art methods both subjectively and objectively.

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  • EditorialLAP LAMBERT Academic Publishing
  • Año de publicación2023
  • ISBN 10 6205513307
  • ISBN 13 9786205513309
  • EncuadernaciónTapa blanda
  • IdiomaInglés
  • Número de páginas64
  • Contacto del fabricanteno disponible

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Ho Sang Lee
ISBN 10: 6205513307 ISBN 13: 9786205513309
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A duststorm image has a reddish or yellowish color cast. Though a duststorm image and a hazy image are obtained using the same pro-cess, a hazy image has no color distortion as it has not been disturbed by particles, but a duststorm image has color distortion owing to an imbalance in the color channel, which is disturbed by sand particles. As a result, a duststorm image has a degraded color channel, which is rare in certain channels. Therefore, a color balance step is needed to enhance a duststorm image naturally. This study goes through two steps to im-prove a duststorm image. In general, the dark channel prior (DCP) is frequently applied in the dehazing step. However, the existing DCP method has a halo effect similar to an over-enhanced image due to a dark channel and a patch image. According to this point, this study proposes to adjustable DCP (ADCP). In the experiment results, the proposed method was superior to state-of-the-art methods both subjectively and objectively. 64 pp. Englisch. Nº de ref. del artículo: 9786205513309

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Imagen del vendedor

Ho Sang Lee
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6205513307 ISBN 13: 9786205513309
Nuevo Taschenbuch
Impresión bajo demanda

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A duststorm image has a reddish or yellowish color cast. Though a duststorm image and a hazy image are obtained using the same pro-cess, a hazy image has no color distortion as it has not been disturbed by particles, but a duststorm image has color distortion owing to an imbalance in the color channel, which is disturbed by sand particles. As a result, a duststorm image has a degraded color channel, which is rare in certain channels. Therefore, a color balance step is needed to enhance a duststorm image naturally. This study goes through two steps to im-prove a duststorm image. In general, the dark channel prior (DCP) is frequently applied in the dehazing step. However, the existing DCP method has a halo effect similar to an over-enhanced image due to a dark channel and a patch image. According to this point, this study proposes to adjustable DCP (ADCP). In the experiment results, the proposed method was superior to state-of-the-art methods both subjectively and objectively. Nº de ref. del artículo: 9786205513309

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Sang Lee, Ho
Publicado por LAP Lambert Academic Publishing, 2023
ISBN 10: 6205513307 ISBN 13: 9786205513309
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Librería: moluna, Greven, Alemania

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A duststorm image has a reddish or yellowish color cast. Though a duststorm image and a hazy image are obtained using the same pro-cess, a hazy image has no color distortion as it has not been disturbed by particles, but a duststorm image has color distorti. Nº de ref. del artículo: 824398394

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Ho Sang Lee
ISBN 10: 6205513307 ISBN 13: 9786205513309
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. Neuware -A duststorm image has a reddish or yellowish color cast. Though a duststorm image and a hazy image are obtained using the same pro-cess, a hazy image has no color distortion as it has not been disturbed by particles, but a duststorm image has color distortion owing to an imbalance in the color channel, which is disturbed by sand particles. As a result, a duststorm image has a degraded color channel, which is rare in certain channels. Therefore, a color balance step is needed to enhance a duststorm image naturally. This study goes through two steps to im-prove a duststorm image. In general, the dark channel prior (DCP) is frequently applied in the dehazing step. However, the existing DCP method has a halo effect similar to an over-enhanced image due to a dark channel and a patch image. According to this point, this study proposes to adjustable DCP (ADCP). In the experiment results, the proposed method was superior to state-of-the-art methods both subjectively and objectively.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Nº de ref. del artículo: 9786205513309

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