散射
稳健性(进化)
光学
迭代重建
缩放比例
物理
动态缩放
色阶
多项式的
鬼影成像
理论(学习稳定性)
算法
动态光散射
色差
计算机科学
光散射
标度律
计算机视觉
扩散
图像复原
噪声数据
噪音(视频)
估计理论
前向散射
重建算法
动态成像
成像技术
降噪
作者
Qian Song,Zhihan Xu,Qing Huo Liu,Wen Chen
摘要
Color imaging through dynamic scattering media is challenging. Although ghost imaging (GI) has been studied, the distorted single-pixel measurements hinder high-fidelity reconstruction. Here, we report a full-color GI framework that eliminates wave distortions caused by dynamic scattering media to achieve high-quality reconstruction. A convolution-based polynomial estimation method is designed to estimate and correct dynamic scaling factors. Then, a diffusion-powered plug-and-play algorithm is designed and applied, using a pre-trained diffusion prior to regularizing chromatic structures with a GI-based physical model to maintain data consistency. Experiments are conducted to demonstrate that the developed full-color GI framework exhibits high robustness and superior performance, always achieving high-fidelity reconstruction in dynamic scattering environments. Our method provides a promising solution for full-color GI in harsh environments, showing excellent stability and application potentials.
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