Remove haze in a single image using estimated transmission map with EDN-GTM

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Remove haze in a single image using estimated transmission map with EDN-GTM

A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image Dehazing
arXiv paper abstract https://arxiv.org/abs/2202.04757
arXiv PDF paper https://arxiv.org/ftp/arxiv/papers/2202/2202.04757.pdf
GitHub https://github.com/tranleanh/edn-gtm

A novel Encoder-Decoder Network with Guided Transmission Map (EDN-GTM) for single image dehazing scheme is proposed …

… EDN-GTM takes conventional RGB hazy image in conjunction with its transmission map estimated by adopting dark channel prior as the inputs of the network.

… utilizes U-Net for image segmentation … and … modifications including spatial pyramid pooling module and Swish activation to achieve state-of-the-art dehazing

… outperforms most of traditional and deep learning-based image dehazing schemes in terms of PSNR and SSIM metrics.

… furthermore proves its applicability to object detection problems.

… when applied to … driving object detection, … EDN-GTM can efficiently remove haze and significantly improve detection accuracy by 4.73% in terms of mAP measure. …

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AI News Clips by Morris Lee: News to help your R&D

Written by AI News Clips by Morris Lee: News to help your R&D

A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.

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