An improved iterative back projection algorithm based on ringing artifacts suppression

Xin Yang, Yan Zhang, Dake Zhou, Ruigang Yang

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

In order to suppress and reduce the ringing artifacts of the IBP super resolution algorithm, an improved iterative back projection (IBP) reconstruction algorithm is presented in this paper. Firstly, two novel concepts, variation and local variance variation based on an adaptive analysis are introduced. They are calculated based on the error projection matrix in the back projection process. Secondly, a restraint item is adopted to constrain the back projection matrix. Thirdly, a modified iterative scheme is used to reconstruct the high resolution image. The effectiveness of the proposed approach on ringing artifacts suppression is demonstrated by experiments. The results indicate that the proposed method can achieve satisfactory performance.

Original languageEnglish
Pages (from-to)171-179
Number of pages9
JournalNeurocomputing
Volume162
DOIs
StatePublished - Aug 25 2015

Bibliographical note

Publisher Copyright:
© 2015 Elsevier B.V..

Keywords

  • Iterative back projection (IBP)
  • Ringing artifacts suppression
  • Super resolution

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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