Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints
  • Technical Digest Series (Optica Publishing Group, 1983),
  • paper WA17
  • https://doi.org/10.1364/SRS.1983.WA17

On an iterative algorithm for stabilised object restoration from limited spectral data

Not Accessible

Your library or personal account may give you access

Abstract

We analyse the problem of object restoration in the presence of noise, when the coherent image is formed by a space-invariant system consisting of a one-dimensional clear pupil extending over (−Ω, Ω). If the object distribution f(x) lies between −X and +X, the noiseless image g¯(y) formed by such a system would be given by the equation (1) In Fourier space, the solution to this equation is equivalent to infinite extrapolation of the truncated spectrum.

© 1983 Optical Society of America

PDF Article
More Like This
Iterative Image Restoration From Data Available In Multiple Restricted Regions

Yoshiki Yamakoshi and Takuso Sato
WA6 Signal Recovery and Synthesis (SRS) 1983

Stable, non-iterative, object reconstruction from incomplete data using prior knowledge

A.M. Darling, T.J. Hall, and M.A. Fiddy
WA9 Signal Recovery and Synthesis (SRS) 1983

Dependent and Independent Constraints for a Multiple Objective Iterative Algorithm

Joseph N. Mait and William T. Rhodes
ThA14 Signal Recovery and Synthesis (SRS) 1983

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.