Enhancing Underwater Color Images via Optical Imaging Model and Non-Local Means Denoising

Dubok PARK  David K. HAN  Hanseok KO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E100-D   No.7   pp.1475-1483
Publication Date: 2017/07/01
Publicized: 2017/04/07
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDP7486
Type of Manuscript: PAPER
Category: Image Processing and Video Processing
Keyword: 
underwater image,  color correction,  image restoration,  denoising,  

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Summary: 
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.