19 December 2013 An optimized hybrid encode based compression algorithm for hyperspectral image
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Proceedings Volume 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 90451V (2013) https://doi.org/10.1117/12.2038158
Event: International Conference on Optical Instruments and Technology (OIT2013), 2013, Beijing, China
Abstract
Compression is a kernel procedure in hyperspectral image processing due to its massive data which will bring great difficulty in date storage and transmission. In this paper, a novel hyperspectral compression algorithm based on hybrid encoding which combines with the methods of the band optimized grouping and the wavelet transform is proposed. Given the characteristic of correlation coefficients between adjacent spectral bands, an optimized band grouping and reference frame selection method is first utilized to group bands adaptively. Then according to the band number of each group, the redundancy in the spatial and spectral domain is removed through the spatial domain entropy coding and the minimum residual based linear prediction method. Thus, embedded code streams are obtained by encoding the residual images using the improved embedded zerotree wavelet based SPIHT encode method. In the experments, hyperspectral images collected by the Airborne Visible/ Infrared Imaging Spectrometer (AVIRIS) were used to validate the performance of the proposed algorithm. The results show that the proposed approach achieves a good performance in reconstructed image quality and computation complexity.The average peak signal to noise ratio (PSNR) is increased by 0.21~0.81dB compared with other off-the-shelf algorithms under the same compression ratio.
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Cheng Wang, Cheng Wang, Zhuang Miao, Zhuang Miao, Weiyi Feng, Weiyi Feng, Weiji He, Weiji He, Qian Chen, Qian Chen, Guohua Gu, Guohua Gu, } "An optimized hybrid encode based compression algorithm for hyperspectral image", Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 90451V (19 December 2013); doi: 10.1117/12.2038158; https://doi.org/10.1117/12.2038158
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