Underwater optical image dehazing using guided trigonometric bilateral filtering
Underwater optical image dehazing using guided trigonometric bilateral filtering
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DOI：
10.1109/iscas.2013.6572299
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发表时间：
2013-05
期刊：
影响因子：
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通讯作者：
Huimin Lu-;Yujie Li;Lifeng Zhang;A. Yamawaki;Shiyuan Yang;S. Serikawa
中科院分区：
文献类型：
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作者：
Huimin Lu-;Yujie Li;Lifeng Zhang;A. Yamawaki;Shiyuan Yang;S. Serikawa
提出了一种新的水下光学图像去雾增强方法。散射和颜色变化是水下成像的两个主要失真问题。散射是由大的悬浮颗粒引起的，如雾或浑浊的水，其中含有丰富的颗粒，浮游生物等。颜色变化对应于不同波长的光在水中传播时遇到的不同程度的衰减，使周围的水下环境以蓝色为主。我们的主要贡献是提出了一种快速的图像和视频去雾算法，以补偿衰减的差异沿着传播路径，并考虑到可能存在的人工照明源的影响。增强后的图像具有较低的噪声水平、较好的暗区暴露性、较好的整体对比度和较好的细节和边缘增强等特点。此外，我们的增强方法比最先进的方法具有更高的质量。
This paper describes a novel method to enhance underwater optical images by dehazing. Scattering and color change are two major problems of distortion for underwater imaging. Scattering is caused by large suspended particles, like fog or turbid water which contains abundant particles, plankton etc. Color change corresponds to the varying degrees of attenuation encountered by light traveling in the water with different wavelengths, rendering ambient underwater environments dominated by a bluish tone. Our key contribution is to propose a fast image and video dehazing algorithm, to compensate the attenuation discrepancy along the propagation path, and to take the influence of the possible presence of an artificial lighting source into consideration. The enhanced images are characterized by reduced noised level, better exposedness of the dark regions, improved global contrast while the finest details and edges are enhance significantly. In addition, our enhancement method is comparable to higher quality than the state-of-the-art methods.