斯太尔率
计算机科学
能见度
计算机视觉
图像质量
人工智能
同态滤波
对比度(视觉)
浊度
图像增强
自适应直方图均衡化
图像处理
图像(数学)
光学
自适应光学
直方图均衡化
地质学
物理
海洋学
作者
Gerald Seet,Andrzej Śluzek,ChingSeong Tan
摘要
In order to improve underwater visibility, general considerations are planned in two stages. There is hardware upgrading followed by system optimization stage. For the former, we choose to improve the underwater visibility with advanced techniques: range gated imaging system, and the optimization in terms of image processing techniques. Four selected image enhancement technique has been tested, namely Contrast Stretching, CLAHE, Illumination-reflectance Model and Homomorphic Filtering. Quantitative image quality measures are used to evaluate the enhanced imaging techniques. Three image assessment techniques are used to quantify image quality of the imaging system in increased turbidity condition, namely Modified Fidelity (MF), Modified Strehl Ratio (MSR2), and Contrast-to-Noise Ratio (CNR). In the first stage, the quantitative measures have shown at least 40% improvement from non-gated to gated images in increased turbidity. Finally, the enhancement techniques further improve the gated images with limited noise amplification issues.
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