Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Frontiers in Optics 2009/Laser Science XXV/Fall 2009 OSA Optics & Photonics Technical Digest
  • OSA Technical Digest (CD) (Optica Publishing Group, 2009),
  • paper STuC7
  • https://doi.org/10.1364/SRS.2009.STuC7

Image Restoration Using Natural Image Statistics

Not Accessible

Your library or personal account may give you access


This paper proposes to use the natural image statistics to reconstruct a potential image from a blurred image. The compressive sensing theory and the 1 minimization technique is used to iteratively estimate the image gradient. Its application can be easily extended to restoration of astronomical images, in the case that the image is sparse.

© 2009 Optical Society of America

PDF Article
More Like This
Statistical Methods for Image Restoration and Image Reconstruction

Chin-Tu Chen, Valen E. Johnson, Wing H. Wong, Xiaoping Hub, and Charles E. Metz
WD1 Signal Recovery and Synthesis (SRS) 1989

High-Order Statistics for Point Prediction in Natural Images

Wilson S. Geisler and Jeffrey S. Perry
IMC1 Imaging Systems and Applications (ISA) 2011

Image Restoration for Video Endoscope Systems

Ben-Shung Chow
7371_1A European Conference on Biomedical Optics (ECBO) 2009


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription

Select as filters

Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved