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eess.IV2024★ 1 cited
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
Tong Chen, Qingcheng Lyu, Long Bai +5
Advances in endoscopy use in surgeries face challenges like inadequate lighting. Deep learning, notably the Denoising Diffusion Probabilistic Model (DDPM), holds promise for low-li…
eess.IV2023
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework
Erjian Guo, Huazhu Fu, Luping Zhou +1
Deep learning based image enhancement models have largely improved the readability of fundus images in order to decrease the uncertainty of clinical observations and the risk of mi…