Task-oriented semantic variable compression communication scheme with salient region awareness over hollow-core fiber
Year: 2025
Type: article
Abstract: This paper proposes a task-oriented semantic variable compression communication scheme based on histogram contrast (HC) and compressive sensing (CS). Saliency detection (SD) is used to dynamically assess the importance of image blocks, enabling adaptive CS sampling with variable compression ratios accordingly. The scheme achieves 8 Gb/s and 16 Gb/s orthogonal frequency division multiplexing (OFDM) optical signal transmission over 1.5 km hollow-core fiber (HCF). Experimental results show that the bit error rate (BER) meets the 7% HD-FEC (hard-decision forward error correction) threshold @3.8 × 10 −3 , and both the demodulated constellation diagrams and reconstructed images maintain high clarity. All test samples yield peak signal-to-noise ratios (PSNR) above 30 dB and multi-scale structural similarity (MSSIM) values exceeding 0.9. Compared with conventional fixed-ratio block compression schemes, the proposed method achieves up to 0.5 performance gain under the semantic-MSSIM (S-MSSIM) metric. These results highlight its strong potential for future high-capacity semantic optical fiber communication systems.
Source: Optics Express
DOI: 10.1364/oe.576345
Authors: Jianxin Ren, Wenbo Yu, Bo Liu, Yaya Mao, Qing Zhong, Shuaidong Chen, Zhiruo Guo, Junjie Cai, Xian Lu, Qingqing Chen, Xiumin Song, Jianye Zhao, Ying Li
Language: English
Topic: Optical Network Technologies
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,270
OpenAlex ID: W4416588261