Light Field Camera Image Sharpness Enhancement for Underwater Machine Vision Application

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.