基于改进暗原色先验算法的水下监控图像处理方法

摘要

With the development of marine fishery and underwater operation,under water monitoring and image processing play an important role in these areas.Due to the light attenuation of sea water and the scattering of suspended particles,the requiring of high resolution under water monitoring image is still a difficult work at present.This paper analyzes impact factors of underwater camera imaging quality and presents an improved dark channel prior algorithm for deep-sea camera imaging.The algorithm integrates the advantages of dark channel prior,image filtering and Retinex theory,implements defogging,noise reduction,color calibration as well as contrast enhancement.The experimental results show that the algorithm significantly improves the image sharpness and visual quality and can be widely used in deep-sea monitoring and image processing area.%水下监控在海洋渔业、水下作业等领域发挥着越来越重要的作用.可是由于水对光的衰减等作用以及水中悬浮物造成的散射等现象,高清晰度的水下图像获取一直成为水下监控技术发展的阻力.本文对水下相机成像质量进行分析,针对海洋微光、无光环境水下成像提出一种改进的暗原色先验算法,该算法结合暗原色先验、图像滤波降噪以及Retinex理论的优点,实现水下监控图像的去雾、色彩还原与对比度增强.实验表明,该方法明显改进了图像的视觉质量并具有更好的图像清晰度,是一种有效的海洋微光、无光环境的监控图像处理方法.