Mobile-UNet GAN: A single-image dehazing model

Abstract Dehazing, a crucial task in computer vision applications, aims to remove atmospheric haze from images. The emergence of generative adversarial networks (GANs) as a powerful solution for image restoration, including dehazing, has garnered recent attention. In this paper, an innovative approa...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Akhtar, Md Sohel [verfasserIn]

Ali, Asfak

Chaudhuri, Sheli Sinha

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2023

Schlagwörter:

Generative adversarial networks

UNet

MobileNet

EfficientNet

ResNet

VGG19

Anmerkung:

© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:

Enthalten in: Signal, image and video processing - London [u.a.] : Springer, 2007, 18(2023), 1 vom: 04. Sept., Seite 275-283

Übergeordnetes Werk:

volume:18 ; year:2023 ; number:1 ; day:04 ; month:09 ; pages:275-283

Links:

Volltext

DOI / URN:

10.1007/s11760-023-02752-3

Katalog-ID:

SPR054523095

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