Underwater image enhancement via efficient generative adversarial network - Lower Silesian Digital Library

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Title: Underwater image enhancement via efficient generative adversarial network

Creator:

Qian, Xin ; Ge, Peng

Contributor:

Urbańczyk, Wacław. Redakcja

Description:

Optica Applicata, Vol. 51, 2021, nr 4, s. 483-497 ; Optica Applicata is an international journal, published in a non-periodical form in the years 1971-1973 and quarterly since 1973. From the beginning of the year 2008, Optica Applicata is an Open Access journal available online via the Internet, with free access to the full text of articles serving the best interests of the scientific community. The journal is abstracted and indexed in: Chemical Abstracts, Compendex, Current Contents, Inspec, Referativnyj Zhurnal, SCI Expanded, Scopus, Ulrich’s Periodicals Directory ; click here to follow the link

Abstrakt:

Underwater image enhancement has been receiving much attention due to its significance in facilitating various marine explorations. Inspired by the generative adversarial network (GAN) and residual network (ResNet) in many vision tasks, we propose a simplified designed ResNet model based on GAN called efficient GAN (EGAN) for underwater image enhancement. In particular, for the generator of EGAN we design a new pair of convolutional kernel size for the residual block in the ResNet. Secondly, we abandon batch normalization (BN) after every convolution layer for faster training and less artifacts. Finally, a smooth loss function is introduced for halo-effect alleviation. Extensive qualitative and quantitative experiments show that our methods accomplish considerable improvements compared to the state-of-the-art methods.

Publisher:

Oficyna Wydawnicza Politechniki Wrocławskiej

Place of publication:

Date:

Resource Type:

Resource Identifier:

doi:10.37190/oa210402

Source:

<sygn. PWr A3481II> ; click here to follow the link ; click here to follow the link

Language:

Relation:

Optica Applicata ; Optica Applicata, Vol. 51, 2021 ; Optica Applicata, Vol. 51, 2021, nr 4 ; Politechnika Wrocławska. Wydział Podstawowych Problemów Techniki

Rights:

Wszystkie prawa zastrzeżone (Copyright)

Access Rights:

Dla wszystkich w zakresie dozwolonego użytku

Location:

Politechnika Wrocławska

Group publication title:

Optica Applicata

Subject and keywords:

optyka underwater image dehazing generative adversarial network (GAN)

Object collections:

Last modified:

Feb 7, 2025

All available object's versions:

https://dbc.wroc.pl./publication/169930

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Optica Applicata

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