Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 26, Issue 4 (2015)
  4. Image Motion Restoration Using Fractiona ...

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • Related articles
  • Cited by
  • More
    Article info Related articles Cited by

Image Motion Restoration Using Fractional-Order Gradient Prior
Volume 26, Issue 4 (2015), pp. 621–634
Ying Fu   Xi Wu   Xiaohua Li   Kun He   Yi Zhang   Jiliu Zhou  

Authors

 
Placeholder
https://doi.org/10.15388/Informatica.2015.67
Pub. online: 1 January 2015      Type: Research Article     

Received
1 October 2013
Accepted
1 March 2015
Published
1 January 2015

Abstract

The choice of natural image prior decides the quality of restored image. Recently successful algorithms exploit heavy-tailed gradient distribution as image prior to restore latent image with piecewise smooth regions. However, these prior assumed also remove the mid-frequency component such as textural details regions while they preserve sharp edges. That because gradient profile in fractal-like texture do not have sparse characteristic.
To restore textural features of expected latent image, in this paper, we introduce fractional-order gradient as image prior which is more appropriate to describe characteristic of image textures. From details comparison of our experiments, the textual details are more clear and visual quality is improved.

Related articles Cited by PDF XML
Related articles Cited by PDF XML

Copyright
Vilnius University

Keywords
image motion restoration fractional order total variation textural detail

Metrics
since January 2020
1001

Article info
views

0

Full article
views

498

PDF
downloads

207

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
  • Copyright © 2023 Vilnius University

About

  • About journal

For contributors

  • OA Policy
  • Submit your article
  • Instructions for Referees
    •  

    •  

Contact us

  • Institute of Data Science and Digital Technologies
  • Vilnius University

    Akademijos St. 4

    08412 Vilnius, Lithuania

    Phone: (+370 5) 2109 338

    E-mail: informatica@mii.vu.lt

    https://informatica.vu.lt/journal/INFORMATICA
Powered by PubliMill  •  Privacy policy