图像在传输过程中会受到各种噪声干扰,为了实现消除噪声的目的,提出一种基于LoG算子改进的自适应阈值去噪算法.首先,利用LoG算子提取图像的边缘特征信息.接着,根据图像的边缘特征和非边缘特征分别求取改进的阈值函数:对于图像非边缘部分的阈值函数,在软阈值函数的基础上添加一个阈值修正系数,构建新的阈值函数;对于图像边缘部分的阈值函数,将边缘部分小波系数附近的能量和阈值相结合,构建新的阈值函数.最后利用改进的阈值函数对图像R、G、B3个通道分别处理,保留图像所有的细节信息.实验结果表明,消噪后图像与含噪图像的PSNR值高于传统自适应算法12.09％;MAE值低于传统自适应算法22％.该算法有效保存了图像的边缘信息,综合去噪效果明显提高.
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