基于M带小波滤波器结构的SAR图像压缩方法

SAR Image Compression via M-band Wavelet Filter

在实际应用中,SAR图像需要大量的存储空间,为了降低数据存贮和传输的开销,高效的图像压缩方法是必不可少的。由于相干斑噪声的存在,基于线性滤波器小波压缩的效果不是很好。论文提出了一种新的基于非线性小波的压缩方法。根据提升格式,用一组4带滤波器组和非线性滤波器组从相干斑噪声分离出图像特征,实验结果表明其压缩效果远优于常见的JPEG方法。

In many practical applications,a large number of memory for SAR image are required,so high efficiency compression method is necessary in order to reduce memory cost with dada message.Because the efficiency is low by using linear wavelet filter,in this paper the authors propose a new approach based on non -linear wavelet.In their method,image characters of image is achieved by using a4-band non-linear filters,and simulations test show that the proposed method is superior to known JPEG method.