Enhancing underwater color images of diving mask mounted digital camera via non-local means denoising

Dubok Park, David K. Han, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a novel framework for enhancing underwater images captured by digital camera embedded into underwater diving mask. Our approach adjusts the color balance using biasness and average of luminance. Then, scene visibility is enhanced based on underwater image model. Magnified noise in enhanced images is alleviated by Non-local means (NLM) denoising. The final enhanced images are characterized by improved visibility while retaining color fidelity and reduced noise. Our method does not require specialized hardware or prior knowledge about the underwater environment.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics, ICCE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages441-442
Number of pages2
ISBN (Print)9781467383646
DOIs
Publication statusPublished - 2016 Mar 10
EventIEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States
Duration: 2016 Jan 72016 Jan 11

Other

OtherIEEE International Conference on Consumer Electronics, ICCE 2016
CountryUnited States
CityLas Vegas
Period16/1/716/1/11

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Park, D., Han, D. K., & Ko, H. (2016). Enhancing underwater color images of diving mask mounted digital camera via non-local means denoising. In 2016 IEEE International Conference on Consumer Electronics, ICCE 2016 (pp. 441-442). [7430683] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2016.7430683