DCC '97 Proceedings of the Conference on Data Compression
An Efficient Adaptive KLT for Multispectral Image Compression
SSIAI '00 Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation
Wavelet Filter Selection in Multispectral Image Compression
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
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ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
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IEEE Transactions on Circuits and Systems for Video Technology
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This paper benchmarks three multi/hyperspectral image compression approaches: the classic Multi-2D compression approach and two different implementations of 3D approach Full 3D and Hybrid. All approaches are combined with a spectral PCA decorrelation stage to optimize performance. These three compression approaches are compared within a larger comparison framework than the conventionally used PSNR, which includes eight metrics divided into three families. The comparison is carried out with regard to variations in bitrates, spatial, and spectral dimensions variations of images. The time and memory consumption difference between the three approaches is also discussed. Results of this comparison show the weaknesses and strengths of each approach.