Unified FPGA framework for secure satellite image transmission: adaptive orthogonal moments with integrated confusion-diffusion cryptography

Satellite image transmission systems face a dual challenge: efficient compression and robust encryption. Existing approaches treat these requirements sequentially, resulting in doubled latency and energy overhead, while no FPGA implementation of orthogonal moments exists in the literature. This work presents the first unified FPGA framework transforming adaptive orthogonal moments into dual compression-encryption vectors. The system implements four moment families (Charlier, Hahn, Meixner, Krawtchouk) on Xilinx ZedBoard Zynq-7000, with real-time adaptive selection (93.8% accuracy) and confusion-diffusion chaotic encryption applied directly to coefficients. Three major contributions are demonstrated: (i) first FPGA hardware architecture for orthogonal moments via hybrid PC/FPGA strategy, (ii) adaptive multi-family framework optimized for satellite energy constraints, (iii) unified pipeline eliminating intermediate stages. Implemented at 125 MHz on ZedBoard, the system achieves PSNR of 27-36 dB for Sentinel-2 images of [Formula: see text] pixels (4.6:1 compression), 728 ns latency, and robust security (7.99 bits entropy, correlations [Formula: see text]).