Images acquired in underwater environments are usually affected by light absorption and scattering. These are the two phenomena that reduce the clarity of images that are captured in these environments. These factors cause low contrast and anamorphic colour diffusion. To tackle these issues, we propose an optimized low contrast enhancement scheme. The main thrust of this paper borders on enhancement of underwater image contrast by preserving the brightness level. The approach is termed Fuzzy-Histogram Equalisation Optimised for Brightness Preservation (FHEOBP) technique, where a combination of fuzzy and classical histogram equalisation techniques is employed towards the enhancement of the contrast of images from underwater scene. The scheme is optimized using teaching-learning-based optimisation technique that is built into the algorithm. The proposed FHEOBP filter shows improved performance over Local Histogram Equalisation (LHE) and Global Histogram Equalisation (GHE) as it ha...

中文翻译：

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针对低对比度水下图像的优化增强方案

在水下环境中获取的图像通常受光吸收和散射的影响。这是两种现象，它们降低了在这些环境中捕获的图像的清晰度。这些因素导致低对比度和变形色扩散。为了解决这些问题，我们提出了一种优化的低对比度增强方案。本文的主要目的是通过保持亮度水平来增强水下图像对比度。该方法称为“针对亮度保存优化的模糊直方图均衡化”（FHEOBP）技术，其中采用了模糊和经典直方图均衡化技术的组合来增强水下场景的图像对比度。该算法使用算法中内置的基于教学学习的优化技术进行了优化。