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新轻量级框架利用频率和空间数据增强水下图像

研究人员开发了一种新颖的轻量级实时水下图像增强(UIE)框架,该框架将频域信息与空间域处理相结合。所提出的系统利用了具有固定DCT先验的多分支可重参数化卷积(MBRConv-DCT)和频域引导双路径注意力(FGDPA)模块。这种方法通过引入对频率敏感的先验来克服纯空间域方法的局限性,从而实现了一个性能高、延迟低的紧凑型模型。 AI

影响 这项研究可能为水下机器人和摄影带来更高效、更有效的水下图像实时处理。

排序理由 该集群描述了一篇发表在arXiv上的研究论文,该论文详细介绍了一种新的图像增强技术方法。

在 arXiv cs.CV 阅读 →

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新轻量级框架利用频率和空间数据增强水下图像

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该集群描述了一篇发表在arXiv上的研究论文,该论文详细介绍了一种新的图像增强技术方法。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Leshen Zhang, Ao Li, Ce Zhu ·

    基于频率引导的双路径注意力实现实时水下图像增强

    arXiv:2606.30314v1 Announce Type: new Abstract: Real-time underwater image enhancement (UIE) is crucial for mobile underwater photography and autonomous robotic systems, where practical deployment typically requires low latency and compact models under constrained computational r…

  2. arXiv cs.CV TIER_1 English(EN) · Ce Zhu ·

    基于频率引导的双路径注意力实现实时水下图像增强

    Real-time underwater image enhancement (UIE) is crucial for mobile underwater photography and autonomous robotic systems, where practical deployment typically requires low latency and compact models under constrained computational resources. Recent ultra-lightweight CNNs based on…