no code implementations • 12 Jan 2022 • Da He, Jiasheng Zhou, Xiaoyu Shang, Jiajia Luo, Sung-Liang Chen
In this work, we propose a deep learning-based method to remove complex noise from PAM images without mathematical priors and manual selection of settings for different input images.
no code implementations • 3 Sep 2020 • Da He, Xiaoyu Shang, Jiajia Luo
In this work, we newly present a problem of image degradation caused by adherent mist and raindrops.
no code implementations • 8 Jun 2020 • Jiasheng Zhou, Da He, Xiaoyu Shang, Zhendong Guo, Sung-Liang Chen, Jiajia Luo
The results show that the model can enhance the image quality of the sparse PAM image of blood vessels from several aspects, which may help fast PAM and facilitate its clinical applications.