Photon-Limited Blind Deconvolution Using Unsupervised Iterative Kernel Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2022.3226947
Abstract: Blind deconvolution is a challenging problem, but in low-light it is even more difficult. Existing algorithms, both classical and deep-learning based, are not designed for this condition. When the photon shot noise is strong, conventional… read more here.
Keywords: blind deconvolution; deconvolution; limited blind; estimation ... See more keywords
Photon-limited imaging through scattering medium based on deep learning.
Sign Up to like & getrecommendations! Published in 2019 at "Optics express"
DOI: 10.1364/oe.27.033120
Abstract: Imaging under ultra-weak light conditions is affected by Poisson noise heavily. The problem becomes worse if a scattering media is present in the optical path. Speckle patterns detected under ultra-weak light condition carry very little… read more here.
Keywords: weak light; scattering media; deep learning; ultra weak ... See more keywords
Photon-limited Cherenkov imaging of radiation therapy dose.
Sign Up to like & getrecommendations! Published in 2023 at "Optics letters"
DOI: 10.1364/ol.485668
Abstract: Cherenkov imaging is a unique verification tool that could provide both dosimetric and tissue functional information during radiation therapy. However, the number of interrogated Cherenkov photons in tissue is always limited and tangled with stray… read more here.
Keywords: cherenkov; cherenkov imaging; radiation therapy; radiation ... See more keywords