Nov 12, 2020 · We propose an end-to-end trainable image de-hazing network named as LIGHT-Net. The proposed LIGHT-Net comprises of color constancy module and haze reduction ...
To tackle these problems, we propose an end-to-end trainable image de-hazing network named as LIGHT-Net. The proposed LIGHT-Net comprises of color constancy ...
In general, a major hurdle to train a convolution neural network for haze removal task is the unavailability of large-scale real-world hazy, and corresponding.
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Apr 11, 2024 · We propose an end-to-end multimodal fusion dehazing framework to restore high-quality images. In addition, we provide a visible-infrared dataset for image ...
Jun 22, 2024 · The key insight of this study is to design a visible-infrared fusion network for image dehazing. In particular, we propose a multi-scale Deep Structure Feature ...
Feb 8, 2023 · We propose an end-to-end dehazing network that can restore haze-free images with high visual quality in real time. To decrease the processing ...
DehazeNet takes a hazy image as input, and outputs its medium transmission map that is subsequently used to recover a haze-free image via atmospheric scattering ...
End-to-end conditional generative adversarial network named as RI-GAN is proposed for image de-hazing. 2. A novel generator network is proposed which is de-.
Dec 7, 2020 · In this paper, a novel end-to-end network with multiple inter-scale dense skip-connections for image dehazing is proposed.
We propose a physics-based feature dehazing network for image dehazing. In contrast to most existing end-to-end trainable network-based dehazing methods, we�...