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Jul, 2017
一种多功能去雾网络
An All-in-One Network for Dehazing and Beyond
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Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng
TL;DR
本文提出了一种基于卷积神经网络的图像去雾模型AOD-Net,其通过一种新颖的端到端设计,直接生成干净图像,进而通过与Faster R-CNN模型的级联来提高雾图上的目标检测性能。实验结果表明,该模型在合成和自然雾图数据集上均表现出比现有模型更卓越的PSNR, SSIM和主观视觉质量表现。
Abstract
This paper proposes an
image dehazing
model built with a
convolutional neural network
(CNN), called All-in-One Dehazing Network (AOD-Net). It is designed based on a re-formulated
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