基于改进CycleGAN的多失真类型水下图像增强
吕振鸣,董绍江,夏宗佑,牟小燕,王明权

Multi-distortion type underwater image enhancement based on improved CycleGAN
Zhenming LV,Shaojiang DONG,Zongyou XIA,Xiaoyan MOU,Mingquan WANG
表 8 损失函数消融实验的定量评估
Tab.8 Quantitative evaluation of loss function ablation experiment
消融实验PSNRSSIMUIQMUCIQE
w/o ${L_{\rm{GAN}}}$18.83230.73432.84360.3734
w/o SSIM Loss21.68620.78582.98320.4445
MGCycleGAN23.19570.83233.59660.4528