Enhancing underwater color images via optical imaging model and non-local means denoising

Dubok Park, David K. Han, Hanseok Ko

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


This paper proposes a novel framework for enhancing underwater images captured by optical imaging model and non-local means denoising. The proposed approach adjusts the color balance using biasness correction and the average luminance. Scene visibility is then enhanced based on an underwater optical imaging model. The increase in noise in the enhanced images is alleviated by non-local means (NLM) denoising. The final enhanced images are characterized by improved visibility while retaining color fidelity and reducing noise. The proposed method does not require specialized hardware nor prior knowledge of the underwater environment.

Original languageEnglish
Pages (from-to)1475-1483
Number of pages9
JournalIEICE Transactions on Information and Systems
Issue number7
Publication statusPublished - 2017 Jul


  • Color correction
  • Denoising
  • Image restoration
  • Underwater image

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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