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

The truncation – blurring – rotation technique for reconstructing distorted images

Not Accessible

Your library or personal account may give you access

Abstract

This paper discusses the problem of reconstructing distorted (smeared, defocused, noisy) grey and colored images. The smearing and defocusing of the images is eliminated by solving integral equations by the method of Tikhonov regularization or parametric Wiener filtering, while the noise is eliminated by the method of adaptive Wiener filtering or median filtering. A generalized technique of image truncation is proposed to replace the so-called boundary conditions, and a generalized technique of blurring the edges of the image is proposed to reduce the Gibbs effect. An image-rotation technique is proposed to model the smearing of an image at an arbitrary angle. The methods are implemented in the form of <tt>m</tt>-files in the <span style="font-variant: small-caps">MatLab</span> system. Model and actual images are processed.

© 2011 OSA

PDF Article
More Like This
Space-invariant deblurring given N independently blurred images of a common object

Dennis C. Ghiglia
J. Opt. Soc. Am. A 1(4) 398-402 (1984)

Comparison of image reconstruction techniques for optical projection tomography

Anna K. Trull, Jelle van der Horst, Lucas J. van Vliet, and Jeroen Kalkman
Appl. Opt. 57(8) 1874-1882 (2018)

Cited By

You do not have subscription access to this journal. Cited by 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
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved