May 16, 2024, 4:45 a.m. | Jiamei Xiong, Xuefeng Yan, Yongzhen Wang, Wei Zhao, Xiao-Ping Zhang, Mingqiang Wei

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.09083v1 Announce Type: new
Abstract: Haze severely degrades the visual quality of remote sensing images and hampers the performance of automotive navigation, intelligent monitoring, and urban management. The emerging denoising diffusion probabilistic model (DDPM) exhibits the significant potential for dense haze removal with its strong generation ability. Since remote sensing images contain extensive small-scale texture structures, it is important to effectively restore image details from hazy images. However, current wisdom of DDPM fails to preserve image details and color fidelity …

arxiv cs.cv diffusion diffusion model fourier image sensing type

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