Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-12-02T21:59:11.428Z Has data issue: false hasContentIssue false
  • English
  • Français

Parallel Computation Approach for the Restoration of AFM Imagesbased on the Tikhonov Regularization Method

Published online by Cambridge University Press:  30 December 2005

D. Stutz ,
A. J. Silva Neto  and
G. A. G. Cidade
D. Stutz
Affiliation:
Universidade do Estado do Rio de Janeiro, Brazil
A. J. Silva Neto
Affiliation:
Universidade do Estado do Rio de Janeiro, Brazil
G. A. G. Cidade
Affiliation:
Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
Get access

Extract

This work proposes a parallel implementation for image restoration, applied to biological images, obtained from an Atomic Force Microscope (AFM) [1]. Depending on the scanning dimensions, any image obtained from this technique can present either poor signal/noise ratios and blurred contents. In order to restore or, at least, decrease the effects of such degradations, image restoration methods are usually employed. The algorithm of restoration is based on the use of the Tikhonov methodology, described elsewhere, known here as the serial approach [2].

Type
Other
Information
Microscopy and Microanalysis , Volume 11 , Issue S03 , December 2005 , pp. 22 - 25
Copyright
© 2005 Microscopy Society of America

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)