Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

An Iterative Algorithm for Improving Resolution and Signal-to-Noise Ratio of Captured Noisy Low-Resolution Diffraction Fields

Not Accessible

Your library or personal account may give you access

Abstract

An iterative super-resolution algorithm, based on capturing multiple noisy low-resolution diffraction fields, is proposed. It performs windowing on the reconstructed object to improve resolution and decrease noise level on captured fields. It provides satisfactory results.

© 2014 Optical Society of America

PDF Article
More Like This
Coded aperture imaging with sparse point response for improving resolution and signal-to-noise ratio

Mani Ratnam Rai and Joseph Rosen
JTh4D.3 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2020

Iterative Forward-Backward Algorithm for Optical Diffraction Tomography

Shengli Fan, Seth Smith-Dryden, Guifang Li, and Bahaa Saleh
FTh3E.4 Frontiers in Optics (FiO) 2018

Noise propagation in iterative nonlinear algorithms

Harrison H. Barrett, Donald W. Wilson, and Benjamin M. W. Tsui
WTT.6 OSA Annual Meeting (FIO) 1993

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.