Publication Type
Journal Article
Version
publishedVersion
Publication Date
10-2023
Abstract
The role that underwater image translation plays assists in generating rare images for marine applications. However, such translation tasks are still challenging due to data lacking, insufficient feature extraction ability, and the loss of content details. To address these issues, we propose a novel multi-scale image translation model based on style-independent discriminators and attention modules (SID-AM-MSITM), which learns the mapping relationship between two unpaired images for translation. We introduce Convolution Block Attention Modules (CBAM) to the generators and discriminators of SID-AM-MSITM to improve its feature extraction ability. Moreover, we construct style-independent discriminators that enable the discriminant results of SID-AM-MSITM to be not affected by the style of images and retain content details. Through ablation experiments and comparative experiments, we demonstrate that attention modules and style-independent discriminators are introduced reasonably and SID-AM-MSITM performs better than multiple baseline methods.
Keywords
Underwater image translation, generative adversarial network, convolution block attention module, style-independent discriminator
Discipline
Graphics and Human Computer Interfaces | Numerical Analysis and Scientific Computing
Publication
Journal of Marine Science and Engineering
Volume
11
Issue
10
First Page
1
Last Page
17
Identifier
10.3390/jmse11101929
Publisher
MDPI
Citation
YANG, Dongmei; ZHANG, Tianzi; LI, Boquan; LI, Menghao; CHEN, Weijing; LI, Xiaoqing; and WANG, Xingmei.
Underwater Image Translation via Multi-Scale Generative Adversarial Network. (2023). Journal of Marine Science and Engineering. 11, (10), 1-17.
Available at: https://ink.library.smu.edu.sg/sis_research/8334
Copyright Owner and License
Authors-CC-BY
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Additional URL
https://doi.org/10.3390/jmse11101929
Included in
Graphics and Human Computer Interfaces Commons, Numerical Analysis and Scientific Computing Commons