基于可逆整数小波变换的遥感图像的无损压缩

Remote Sensing Image Lossless Compression Based on Reversible Integer-to-Integer Wavelet Transforms

针对遥感数据的特点,将可逆整数小波引入遥感图像压缩领域,与编码相结合,试验选用了几种可逆整数小波对几幅遥感图SPIHT像和标准测试图像进行图像无损压缩试验,结果与相比都所有提高。

According to the statistical characteristic of remote sensing image data, this paper introduces reversible integer-to-integer wavelet transforms into the field of remote sensing image coding by selecting SPIHT as image coding in this scheme. SPIHT is an algorithm, which is provided for image coding according to the inherent characteristic of the transformed coefficients. In the context of remote sensing image coding, some reversible integer-to-integer wavelet transforms and JPEG2000 are compared on the basis of their lossless compression rate. The experimental results show that all lossless compression rates of the proposed scheme are more excellent than that of JPEG2000.