The main reason of underwater image degradation is backscattering effect of water for light. Backscattering noise elimination is one of the main works of underwater image processing. The causes of generating backscattering noise are analyzed and it is divided into random part and DC part through establishing backscattering noise model of light transmission. Performing Laplacian operation for eliminating the underwater image of DC noise and using Wiener adaptive filter to remove noise again. This method proves that the method can remove the backscattering noise and enhance the image contrast.%水体对光线的后向散射效应是水下图像降质的主要原因,消除后向散射噪声是水下图像处理的主要工作之一.通过建立水下光线传输的后向散射噪声模型,分析了后向散射噪声产生的原因,并将其分为直流噪声部分及随机部分.对消除直流噪声的水下图像进行拉普拉斯运算,并使用维纳自适应滤波对其再次去噪.实验证明,该方法可有效去除水下图像的后向散射噪声,增强图像对比度.
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