Hyper-spectral interferential image compression algorithm based on 1-D DCT

A new compression algorithm of hyper-spectral interferential images based on DCT is proposed regarding to the mechanism of interferential hyper-spectral imaging spectrometry. According to the features of original interferential image cube produced by LASIS, the image cube is regrouped as 'POINT' interferential image sequences firstly. Due to the relationship of Fourier transform between the spectral information and 'POINT' interferential image, one dimensional DCT is used to remove the redundancy for each row of 'POINT' interferential image. A high efficient entropy coding method combined Run-length with context-based arithmetic coder is realized to compress the quantized DCT coefficients. The experimental results show that the algorithm proposed in this paper is much better than SPIHT at the aspect of preserving the spectral information.