Underwater Image Enhancement Based on the Iteration of a Generalization of Dark Channel Prior

Yosuke Ueki, Masaaki Ikehara

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Underwater image enhancement is important for images captured in underwater because underwater images often suffer from color cast, low contrast and degraded visibility due to the absorption and scattering of light in water. In this paper, we propose a novel algorithm for underwater image restoration based on a generalization of the dark channel prior (GDCP). Though there are various types of underwater images, we especially focus on underwater images with depth because these images are not enhanced well by current algorithms. The proposed algorithm is composed of the iteration of GDCP and image fusion. Additionally, we introduce the new ambient light estimation to adapt to more types of images. Experimental results show that proposed algorithm is effective for various types of underwater images, especially for the images with depth.

本文言語English
ホスト出版物のタイトル2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728137230
DOI
出版ステータスPublished - 2019 12月
イベント34th IEEE International Conference on Visual Communications and Image Processing, VCIP 2019 - Sydney, Australia
継続期間: 2019 12月 12019 12月 4

出版物シリーズ

名前2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019

Conference

Conference34th IEEE International Conference on Visual Communications and Image Processing, VCIP 2019
国/地域Australia
CitySydney
Period19/12/119/12/4

ASJC Scopus subject areas

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

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