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New framework enhances underwater image communication using AI

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a novel generative image communication framework designed for underwater acoustic channels, which are known for their limited bandwidth and complex environments. This framework utilizes cross-modal semantic successive refinement, transmitting text descriptions, bottleneck features, and compressed visual side information. At the receiver, these components are fused to reconstruct images, with a CLIP-based constraint ensuring semantic consistency between the generated images and the original text. Experiments using COCO 2017 images and Watermark channel data demonstrate the effectiveness of this approach, particularly in improving reconstruction quality and recovery at low signal-to-noise ratios through layered unequal error protection. AI

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

RANK_REASON This is a research paper detailing a novel technical framework.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New framework enhances underwater image communication using AI

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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

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

    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 these challenges, this paper proposes a generative …

  2. 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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