A Variational Model for Sea Image Enhancement

Autor: Mingzhu Song, Hongsong Qu, Guixiang Zhang, Shuping Tao, Guang Jin
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Remote Sensing, Vol 10, Iss 8, p 1313 (2018)
Druh dokumentu: article
ISSN: 2072-4292
10081313
DOI: 10.3390/rs10081313
Popis: 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.
Databáze: Directory of Open Access Journals
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