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Remote Sens. 2018, 10(8), 1313; https://doi.org/10.3390/rs10081313

A Variational Model for Sea Image Enhancement

1
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Received: 26 June 2018 / Revised: 2 August 2018 / Accepted: 6 August 2018 / Published: 20 August 2018
(This article belongs to the Special Issue Data Restoration and Denoising of Remote Sensing Data)
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Abstract

The purpose of sea image enhancement is to enhance the information of the waves, whose contrast is generally weak. Enhancement effect is often affected by impulse-type noise and non-uniform illumination. In this paper, we propose a variational model for sea image enhancement using a solar halo model and a Retinex model. This paper mainly makes the following three contributions: 1. Establishing a Retinex model with noise suppression ability in sea images; 2. Establishing a solar-scattering halo model through sea image bitplane analysis; 3. Proposing a variational enhancement model combining the Retinex and halo models. The experimental results show that our method has a significant enhancement effect on sea surface images in different illumination environments compared with typical methods. View Full-Text
Keywords: image enhancement; total variation; bitplane image enhancement; total variation; bitplane
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Song, M.; Qu, H.; Zhang, G.; Tao, S.; Jin, G. A Variational Model for Sea Image Enhancement. Remote Sens. 2018, 10, 1313.

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