WebIn this paper, a Discrete Haze Level Dehazing network (DHL-Dehaze), a very effective method to dehaze multiple different haze level images, is proposed. The proposed approach considers a single image dehazing problem as a multi-domain image-to-image translation, instead of grouping all hazy images into the same domain. Web3 Mar 2024 · At present, dehazing methods based on GANs (generative adversarial networks) are emerging and can solve the uncertainty of prior information [23-26]. Chen et al. used the adversarial loss of the GAN to supervise the dehazing network and did not need prior knowledge such as atmospheric light to realize end-to-end image dehazing. …

AAAI2024: Uncertainty-Driven Dehazing Network - Virtual Chair

Web12 Jan 2024 · Zixuan Chen, Zewei He, Zhe-Ming Lu Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images. Some existing deep learning based methods are devoted to improving the model performance via increasing the depth or width of convolution. WebIn this paper, we propose a novel uncertainty-driven dehazing network (UDN) that improves the dehazing results by exploiting the relationship between the uncertain and confident … chelsea strube newswatch 16

[2301.04805] DEA-Net: Single image dehazing based on detail …

Web22 Mar 2024 · Densely Connected Pyramid Dehazing Network He Zhang, Vishal M. Patel We propose a new end-to-end single image dehazing method, called Densely Connected Pyramid Dehazing Network (DCPDN), which can jointly learn the transmission map, atmospheric light and dehazing all together. WebWe propose a physics-based feature dehazing network for image dehazing. In contrast to most existing end-to-end trainable network-based dehazing methods, we explicitly … Web28 Jun 2024 · In this paper, we propose a novel uncertainty-driven dehazing network (UDN) that improves the dehazing results by exploiting the relationship between the uncertain … chelsea student loan ct