Targeting the deficiencies of the full prediction mode and simplified prediction mode provided by the CCSDS 123.0-B-2 compression standard of the International Committee for Space Data Systems, this paper proposed a novel hybrid prediction mode combining the full prediction mode and the simplified prediction mode, and optimizes the local sum and local difference calculation parts of the predictor. The proposed hybrid prediction mode reduces the prediction complexity of edge pixels while ensuring the compression effect, which is favorable for deployment on FPGA hardware systems. The improved compression algorithm was tested and analyzed using a 25-channel hyperspectral image captured by a self-made snapshot mosaic hyperspectral imager developed by our research team. The experimental results show that the improved algorithm can realize the lossless compression of snapshot mosaic hyperspectral images (SSM HSI) with the compression effect of 2.67 ~ 4.32 bits/sample and the compression ratio of 1.86 ~ 3.01. The hybrid prediction mode can be applied in the fields of real-time imaging of unmanned aircraft-carried hyperspectral and wireless transmission of large-capacity hyperspectral images.
In this paper, the compression algorithm recommended by the Consultative Committee on Space Data System (CCSDS) 123 standard is optimized according to the spectral correlation of snapshot mosaic hyperspectral images (SSM HSI) to achieve a higher compression ratio. A novel inter-spectral processing module is added to the predictor to calculate the inter-spectral correlation between each spectral band of the hyperspectral image. The required one-dimensional spectral neighborhoods for prediction are selected based on the highest to lowest correlation order, which allow more accurate prediction of the current sample. This approach improves the efficiency of compression. The optimization was performed for Fast Lossless (FL) predictor with sample adaptive encoder recommended by CCSDS-123.0-B-1 standard, FL Extended (FLEX) predictor with sample adaptive encoder, and hybrid encoder recommended by CCSDS-123.0-B-2 standard, respectively, to compare the compression ratio before and after optimization. The results showed that the compression performance was improved by 0.015%-3.1%, 0.01%-2.29% and 0.01%-1.95% respectively. Further optimization with larger compression ratio could be realized by parameters adjustment of the algorithm proposed in this paper.
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