Evidence map›Paper›PMID 41942501›Full record

ArticleScientific reports2026

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

Ismail Mchichou, Mohamed Amine Tahiri, Hicham Amakdouf, Mhamed Sayyouri, Eman Abdullah Aldakheel, Doaa Sami Khafaga

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Ismail MchichouLaboratory of Electronic Signals and Systems of Information, Sidi Mohamed Ben Abdellah University, Fez, Morocco. ismail.mchichou@usmba.ac.ma.
Mohamed Amine TahiriEngineering, Systems and Applications Laboratory, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
Hicham AmakdoufLaboratory of Electronic Signals and Systems of Information, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
Mhamed SayyouriEngineering, Systems and Applications Laboratory, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
Eman Abdullah AldakheelDepartment of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh, 11671, Saudi Arabia.
Doaa Sami KhafagaDepartment of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh, 11671, Saudi Arabia.

Funding

Princess Nourah Bint Abdulrahman University PNURSP2025R409
6 · The paper itself

Abstract

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]).

Indexed as

Adaptive algorithmsFPGA implementationHardware accelerationImage processingMoment computationOrthogonal momentsParallel processingReconfigurable computing

Identifiers

PMID41942501
PMCPMC13216259

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.