Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > pcAOP > 2019 > JW2A > JW2A.5

Denoising prior driven reconstruction of microscopy images with Poisson statistics

Tao He, Yasheng Sun, Jin Qi, Haiqing Huang, Biao Chen, and Jie Hu

Not Accessible

Your library or personal account may give you access

Abstract

We investigate a Plug-and-Play framework for microscopy image reconstruction under Poisson noise, by unfolding the reconstruction into a Newton iteration and a denoising-based algorithm. This method can flexibly embed various denoising priors into reconstruction tasks.

© 2019 The Author(s)

PDF Article
This paper was not presented at the conference
More Like This
Model-based Phase Retrieval with Deep Denoiser Prior

Çağatay Işıl and Figen S. Oktem
CF2C.5 Computational Optical Sensing and Imaging (COSI) 2020

3D structured illumination microscopy with unknown patterns and a statistical prior

Li-Hao Yeh, Nicole A Repina, and Laura Waller
DW2F.3 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2017

A high spatial resolution reconstruction method for compressed ultrafast holographic imaging

Zhao Ma, Yi Hu, Yi Ding, Xiaojiang Zhan, Yingrong Li, and Jiangtao Xi
JTu4A.15 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2023

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use