表面波和Retinex结合的水声图像增强方法

摘要

Due to complicated underwater channels and various interferences, sonax image resolution is low, leading to difficulties in identifying edge details. Many enhancement algorithms can improve image resolution without de-noising. To this end, the paper proposes an improved enhancement algorithm, which first performs de-noising using surfacelet transform with adaptive threshold, and then carries out multi-scale retinex enhancement. Simulation results show that the proposed algorithm has advantages in preservation of edge details color information. It helps subsequent image processing.%水下复杂信道环境以及各种干扰的存在使得声呐图像分辨率偏低,边缘细节不便于识别处理,传统增强算法大多直接进行增强处理而较少考虑去噪过程.针对这一问题,该文分析了表面波分解和视网膜皮层图像增强原理,阐述了两者结合的可能性,并在此基础上提出了一种先采用表面波结合自适应阈值去噪处理,再进行多尺度Retinex增强的图像处理方法.在仿真实验中将该方法与其他图像去噪增强算法分别进行比较,结果表明该方法在边缘细节保持及颜色保真方面具有优势,能够在获得更好的视觉结果的同时控制算法复杂度,有利于后续图像处理.