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New framework improves image communication over underwater acoustic channels

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel framework for transmitting images over underwater acoustic channels, which are characterized by limited bandwidth and complex environments. This system utilizes cross-modal semantic successive refinement, where text descriptions, compressed features, and visual side information are sent from the transmitter. The receiver uses this information to progressively reconstruct the image, with a CLIP-based semantic consistency constraint ensuring the generated image aligns with the original text. Experiments with COCO 2017 images and underwater channel data demonstrate the effectiveness of this approach, particularly in improving reconstruction quality and providing guidance for resource allocation under low signal-to-noise ratios. AI

IMPACT This research could lead to more efficient and reliable image transmission in challenging underwater environments, potentially impacting fields like marine research and underwater exploration.

RANK_REASON The cluster contains an academic paper detailing a new technical framework for image communication. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework improves image communication over underwater acoustic channels

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The cluster contains an academic paper detailing a new technical framework for image communication. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Xu Pei, Bin Wang, Guangxu Zhu, Yi Zhang, Haiyan Fan ·

    Cross-Modal Semantic Successive Refinement for Generative Image Communication over Underwater Acoustic Channels

    arXiv:2611.06205v1 Announce Type: cross Abstract: Underwater acoustic communication faces challenges such as limited available bandwidth and complex channel environments, which impose demanding requirements on efficient image transmission and reliable reconstruction. To address t…

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