Apr 9, 2024 · In this paper, we first propose a fully data-driven learning-based framework for universal dehazing based on the haze style transfer (HST). We ...
In this paper, we first propose a fully data-driven learning-based framework for universal dehazing based on the haze style transfer (HST). We define multiple ...
In this paper, we first propose a fully data-driven learning-based framework for universal dehazing based on the haze style transfer (HST). We define multiple ...
Universal Dehazing via Haze Style Transfer. Single image dehazing has been actively studied to overcome the quality degradation of hazy images. Most of the ...
[2024.04] Our paper "Universal Dehazing via Haze Style Transfer" has been accepted to IEEE TCSVT ! [2024.02] I will serve as an Award Committee of ICASSP ...
Aug 29, 2024 · This paper presents a deep learning method for image dehazing and clarification. The main advantages of the method are high computational speed and using ...
A new dataset -named I-HAZE- that contains 35 image pairs of hazy and corresponding haze-free (ground-truth) indoor images that allows us to objectively ...
May 14, 2020 · This paper proposes a new haze layer based single image dehazing algorithm. The residual images, which exists between the hazy images and the clear images, ...
A fully data-driven learning-based framework for universal dehazing based on the haze style transfer (HST), which reliably generates realistic and diverse ...
Different from most of the existing dehazing databases, hazy images have been generated using real haze produced by a professional haze machine. To ease color ...