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DORIS framework uses polarization and RGB for better underwater image restoration

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced DORIS, a novel framework designed to enhance underwater image restoration by jointly utilizing polarization and RGB information. This multimodal approach aims to improve the understanding and representation of mixed underwater degradations, leading to more robust image restoration. To support this research, a new benchmark called MixPolar has been created, which includes real-world underwater images with corresponding annotations for evaluating degradation perception, image restoration, and downstream task performance. AI

IMPACT This research could lead to improved underwater imaging capabilities for exploration and scientific analysis.

RANK_REASON The cluster describes a new research paper and benchmark published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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

DORIS framework uses polarization and RGB for better underwater image restoration

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The cluster describes a new research paper and benchmark published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Wenshuo Zhang, Xiangyue Zhang, Junlin Li, Wenjie Tian, Yubo Zheng, Zhixin Dong, Hongli Xu, Jingyu Ru, Xinde Li ·

    DORIS: Polarization Aware Multimodal Degradation Perception for Underwater Image Restoration

    arXiv:2610.17991v2 Announce Type: replace Abstract: Recovering high-quality images from degraded underwater observations is crucial for underwater exploration. Polarization observations show promise as an effective source of complementary physical cues for recovering target radia…

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