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Experimental demonstration of a free space optical wireless video transmission system based on image compression
Optics Express
|December 13, 2023
Summary
This study introduces a free-space optical video system using compressed sensing (CS) for efficient wireless data transmission. The system achieves superior image reconstruction quality, even in atmospheric turbulence, outperforming existing methods.
Area of Science:
- Optical Engineering
- Signal Processing
- Wireless Communications
Background:
- Wireless video transmission faces challenges with massive data volumes and maintaining image quality.
- Existing methods struggle to balance data reduction, transmission rate, and signal fidelity.
Purpose of the Study:
- To propose and evaluate a free-space optical video transmission system utilizing compressed sensing (CS) algorithms.
- To enhance data compression and transmission quality in wireless optical communication.
Main Methods:
- Hardware design of an optical wireless video transceiver board using Artix-7 FPGA.
- Online transmission of compressed sensing (CS) images via Gigabit Ethernet to FPGA for encoding.
- Simulation of atmospheric turbulence channel and optical signal transmission and decoding.
Main Results:
- The encrypt-then-compress (ETC) algorithm demonstrated optimal performance in image compression, transmission, and reconstruction.
- The 2D compressed sensing (2DCS) algorithm showed superior effectiveness.
- Reconstructed images achieved 3-7 dB higher PSNR than comparison algorithms under sufficient optical power.
- Peak Signal-to-Noise Ratio (PSNR) exceeded 30 dB in strong atmospheric turbulence, ensuring complete image reconstruction.
Conclusions:
- The developed free-space optical system with CS algorithms effectively addresses wireless video transmission challenges.
- The system provides robust and high-quality image reconstruction, even under adverse atmospheric conditions.

