单水下图像散射和色彩校正

Huimin Lu, Yujie Li, S. Serikawa
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引用次数: 17

摘要

吸收、散射和色彩失真是水下光学成像中的三大问题。在水中传播的光线根据波长的不同而被散射和吸收。散射是由大的悬浮粒子引起的,这些悬浮粒子会降低在水下捕获的光学图像。颜色失真是因为不同的波长在水中被衰减到不同的程度;因此,周围的水下环境的图像是由蓝色调为主。在本文中,我们提出了一种新的水下成像模型来补偿沿传播路径的衰减差异。此外,我们开发了一种快速加权制导归一化卷积域滤波算法,用于增强浅海水下光学图像。增强后的图像的特点是噪声水平降低,黑暗区域的曝光更好,全局对比度提高,从而使最精细的细节和边缘得到显著增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single underwater image descattering and color correction
Absorption, scattering, and color distortion are three major issues in underwater optical imaging. Light rays traveling through water are scattered and absorbed according to their wavelength. Scattering is caused by large suspended particles that degrade optical images captured underwater. Color distortion occurs because different wavelengths are attenuated to different degrees in water; consequently, images of ambient underwater environments are dominated by a bluish tone. In the present paper, we propose a novel underwater imaging model that compensates for the attenuation discrepancy along the propagation path. In addition, we develop a fast weighted guided normalized convolution domain filtering algorithm for enhancing underwater optical images in shallow oceans. The enhanced images are characterized by a reduced noised level, better exposure in dark regions, and improved global contrast, by which the finest details and edges are enhanced significantly.
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