As a more recent option for low-complexity compression, the transform-based JPEG XR standard accepts an extended range of input formats and provides good low-loss compression. Based on the performance in software of the JPEG XR compression to process remote-sensing images and foreseeing applications onboard small earth-observation satellites, the JPEG XR algorithm was implemented and evaluated in FPGA. The VHDL code was developed and evaluated in two parts, the transform/quantization/prediction and the DC/LP/HP encoding, which were then merged into the complete JPEG XR description. The results of the real-time evaluation were compared to the predictive-differential JPEG LS compression, in a similar hardware test setup, and also to other JPEG XR hardware implementations, and showed up a good trade-off between a throughput of 16 Mpix/s and a power consumption of about 180 mW, at a 50 MHz clock frequency. Better results were estimated for a more recent FPGA version at a higher frequency.

作为低复杂度压缩的最新选择，基于变换的JPEG XR标准接受扩展的输入格式范围，并提供良好的低损耗压缩。基于JPEG XR压缩软件在处理遥感图像和预见小型地球观测卫星上的应用的性能，在FPGA中实现并评估了JPEG XR算法。VHDL代码分为两部分进行开发和评估，即变换/量化/预测和DC / LP / HP编码，然后将其合并为完整的JPEG XR描述。在类似的硬件测试设置中，将实时评估的结果与预测差分JPEG LS压缩进行了比较，还与其他JPEG XR硬件实现进行了比较，并在时钟频率为50 MHz时在16 Mpix / s的吞吐量和约180 mW的功耗之间取得了很好的折衷。对于更高频率的最新FPGA版本，估计会有更好的结果。