Efficient Color Correction Using Normalized Singular Value: for Duststorm Image Enhancement - Brossura
Sinossi
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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Efficient Color Correction Using Normalized Singular Value
Editore:
LAP LAMBERT Academic Publishing Jan 2023, 2023
ISBN 10: 6205513307
ISBN 13: 9786205513309
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786205513309
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Efficient Color Correction Using Normalized Singular Value
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LAP Lambert Academic Publishing, 2023
ISBN 10: 6205513307
ISBN 13: 9786205513309
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Da: moluna, Greven, Germania
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Condizione: 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. Codice articolo 824398394
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Efficient Color Correction Using Normalized Singular Value
Editore:
LAP LAMBERT Academic Publishing Jan 2023, 2023
ISBN 10: 6205513307
ISBN 13: 9786205513309
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786205513309
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Efficient Color Correction Using Normalized Singular Value : for Duststorm Image Enhancement
Editore:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6205513307
ISBN 13: 9786205513309
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786205513309
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Efficient Color Correction Using Normalized Singular Value | for Duststorm Image Enhancement
Editore:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6205513307
ISBN 13: 9786205513309
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Efficient Color Correction Using Normalized Singular Value | for Duststorm Image Enhancement | Ho Sang Lee | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786205513309 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 126635613
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