A new second planet superspectrical image series compression coding algorithm is proposed in the paper. The algorithm adopts the still image compression method EBCOT （Embedded Block Coding with Optimized Truncation） as the coding engine, but it can efficiently reduce the redundancy among the frames. In the most documents on multispectral or superspectral images compression, the redundancy among the frames were usually reduced by 3 dimensional compression algorithm, such as 3 dimensional SPIHT, which in general based on 3 dimensional transform. Therefore, the huge memory is necessary when the transform is done, but the hardware system on the second planet must be lightest and with the lowest power consumption, and 3 dimensional compression algorithms are difficult to be used on the remote-sensing second planet. The novelty of the proposed compression coding method is that the interferential imaging characteristic of progressive scan is utilized to do the matching operation in the wavelet domain, when the relative shift between the two successive images is detected by the match method, the difference （error） image of the two images is encoded in stead of the origin image. Therefore the whole coding efficient is improved and the fidelity of the images can be improved by 3—4 dB. Since the complexity and memory is similar to the 2 dimensional compression algorithm, the algorithm is easier than the one based on 3 dimensional wavelet transform to be implemented on the second planet, and the disadvantage of large memory requirement and long encoding delay is overcome also. Numerical experiments on the 512-frame superspectrum image series show that the reconstructed images after using the proposed algorithm exhibit a comparative or even better effect at the same compression ratio than the 3 dimensional methods.
DownLoad: