Research on Lossless Compression Coding Algorithm of N-Band Parametric Spectral Integer Reversible Transformation Combined With the Lifting Scheme for Hyperspectral Images
نویسندگان
چکیده
After considering the spectral correlation of structure and statistics hyperspectral image, redundancy reduction is optimized using reversible transformation integer matrices in conjunction with N-band matrices. This paper proposes a new quantization algorithm, XCJRCT, that uses invertible matrix to remove redundancy, optimize bit allocation structure, lifting scheme discrete wavelet transform (DWT) used other algorithms reduce set partitioning hierarchical trees (SPIHT) coding. The experimental results show lossless compression significantly better than JPEG-LS, WinZip, ARJ, DPCM. Using Jet Propulsion Laboratory (JPL) Canal test image (Band Sequential) as an example data set, average ratio increases by about 73.691598%, 67.713276%, 65.175242%, 59.107580%, respectively, compared above algorithms.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3199737