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Light Field Camera Image Sharpness Enhancement for Underwater Machine Vision Application

机译：轻场摄像机图像锐度增强水下机视觉应用

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摘要

For underwater machine vision application, due to the scattering and absorption of water medium and underwater particles, there are some problems in underwater image, such as low resolution and contrast, fuzzy details, color distortion and so on. According to the single-scale Retinex theory, the underwater scattering imaging model is established to enhance the sharpness of the image, and the image enhancement effect of the scattering imaging model is optimized by using the multi perspective characteristics of light field imaging, so as to further improve the quality of underwater image. The experimental results show that the underwater scattering imaging model and multi perspective optimization algorithm can effectively improve the quality of underwater image.
机译：对于水下机视觉应用，由于水介质和水下颗粒的散射和吸收，水下图像存在一些问题，例如低分辨率和对比度，模糊细节，颜色变形等。根据单尺度的retinex理论，建立了水下散射成像模型以增强图像的锐度，并且通过使用光场成像的多透视特性来优化散射成像模型的图像增强效果，以便进一步提高水下图像的质量。实验结果表明，水下散射成像模型和多透视优化算法可以有效地提高水下图像的质量。

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