基于迭代滤波盲复原算法的水下图像噪声去除

Underwater Image Denoising Based on Iterative Filtering Blind Restoration Algorithm

图像复原的目的是从观测到的退化图像重建原始图像,维纳滤波与约束去卷积滤波是比较常采用的复原方法。在未知降质函数的情况下,直接运用维纳滤波和约束去卷积滤波有一定困难。针对此提出以维纳滤波与约束去卷积滤波为模型的迭代滤波盲复原算法对水下图像进行去噪。实验证明,该方法获得了比较理想的复原效果。

The goal of image restoration is to rebuild primitive image from degenerated image. The recovery methods of Wiener filtering and constraint deconvolution filtering are often used. It is difficult to use Wiener filter and constraint deconvolution directly when the reduced quality [unction is unknown. Therefore, the iterative filtering algorithm which takes Wiener filtering and restraint deconvolution filtering as models is used to remove the noise of underwater images. The experiment proves that the method has obtained an ideal result.