Underwater Image Enhancement with Multi-Scale Residual Attention Network

Yosuke Ueki, Masaaki Ikehara

研究成果: Conference contribution

抄録

Underwater images suffer from low contrast, color distortion and visibility degradation due to the light scattering and attenuation. Over the past few years, the importance of underwater image enhancement has increased because of ocean engineering and underwater robotics. Existing underwater image enhancement methods are based on various assumptions. However, it is almost impossible to define appropriate assumptions for underwater images due to the diversity of underwater images. Therefore, they are only effective for specific types of underwater images. Recently, underwater image enhancement algorisms using CNNs and GANS have been proposed, but they are not as advanced as other image processing methods due to the lack of suitable training data sets and the complexity of the issues. To solve the problems, we propose a novel underwater image enhancement method which combines the residual feature attention block and novel combination of multi-scale and multi-patch structure. Multi-patch network extracts local features to adjust to various underwater images which are often Non-homogeneous. In addition, our network includes multi-scale network which is often effective for image restoration. Experimental results show that our proposed method outperforms the conventional method for various types of images.

本文言語English
ホスト出版物のタイトル2021 International Conference on Visual Communications and Image Processing, VCIP 2021 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728185514
DOI
出版ステータスPublished - 2021
イベント2021 International Conference on Visual Communications and Image Processing, VCIP 2021 - Munich, Germany
継続期間: 2021 12月 52021 12月 8

出版物シリーズ

名前2021 International Conference on Visual Communications and Image Processing, VCIP 2021 - Proceedings

Conference

Conference2021 International Conference on Visual Communications and Image Processing, VCIP 2021
国/地域Germany
CityMunich
Period21/12/521/12/8

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理
  • 感覚系
  • 通信

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