Enhancing Underwater Color Images via Optical Imaging Model and Non-Local Means Denoising
- Authors
- Park, Dubok; Han, David K.; Ko, Hanseok
- Issue Date
- 7월-2017
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- underwater image; color correction; image restoration; denoising
- Citation
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E100D, no.7, pp.1475 - 1483
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Volume
- E100D
- Number
- 7
- Start Page
- 1475
- End Page
- 1483
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/82937
- DOI
- 10.1587/transinf.2016EDP7486
- ISSN
- 1745-1361
- Abstract
- 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.
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Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
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