Compression for MODIS Multispectral Images
MODIS多光谱图像压缩研究

In order to store MODIS multispectral images effectively, a new hybrid compression algorithm based on optimal inter-band prediction and integer wavelet transform is proposed. First, an optimal inter-band predictor is designed for de-correlating the spectral redundancy, and the error images are created for later use. Next, spatial redundancy is removed by using an efficient integer wavelet coding method and SPIHT algorithm. Then, the adaptive arithmetic encoder is employed for binary code stream. The proposed method can implement the lossless compression, near-lossless compression and lossy compression with high compression ratio. The experimental results show that this method is more efficient than the traditional 3D-SPIHT algorithm and other wavelet transform methods with different wavelet bases.