基于不同颜色模型对比度校正的水下降质图像处理

摘要

光通过水体介质传播过程中的衰减,为水下图像成像带来了一系列的问题.水下目标在成像时会受到海水水质及悬浮物的影响,使采集到的图像变得模糊、对比度下降.文中利用模拟仿真软件对水下图像进行处理,优化出一种基于不同颜色模型对比度修正的自适应直方图水下图像清晰化的有效方法.从实验结果的数据分析可以得出,通过对比度的调整实现了水下图像可视度的增强和图像细节信息的有效放大,由于光照不均匀带来的问题能得到有效缓解.%With the attenuation of light propagation through the natural media propagation,it brought a series of problems for taking underwater images.Collected underwater images will become low contrast and blurred,because water quality and the suspended solids have a great effects on target object.This paper uses simulation software for underwater image processing and optimizes a different color model based on adaptive histogram contrast correction effective algorithm of underwater images.We can conclude from the data analysis of experimental results that underwater image visibility was enhanced,image details are effectively magnified by contrast adjusted and problems due to uneven brightness can be effectively alleviated.