Abstract: Images captured in hazy environments experience gradient reduction due to the scattering of light by atmospheric particles, yet few existing dehazing methods utilize the gradients of hazy ...
Abstract: Hyspectral images (HSIs) are inevitably degraded by a mixture of different types of noise, such as Gaussian noise, impulse noise, stripes, and deadlines. Traditional methods exploit the ...
The Image Processing & Beamforming Suite is a comprehensive web-based platform designed for visualization and analysis of digital signals, with a dual focus on advanced image processing and phased ...
We propose a novel frequency domain-based diffusion model for unpaired image dehazing (FrDiff), which is the first study to integrate a DM into unpaired restoration tasks. FrDiff enhances haze removal ...
1 Department of Mathematics and Informatic, University of Sarh, Sarh, Chad. 2 Department of Mathematics, Catholic University of West Africa, Bobo-Dioulasso, Burkina Faso. 3 Department of Mathematics ...
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