A novel technique to enhance low resolution ct and magnetic resonance images

Rahul Rajendran, Shishir Paramathma Rao, Sos S. Agaian, Michael A Liss

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

This paper presents a novel method to enhance computerized tomography (CT) and magnetic resonance (MR) images. The proposed algorithm uses three techniques, namely. Domain Transform, Shape-Adaptive edge enhancement, and Adaptive histogram equalization to enhance low resolution images. Visually, the proposed method produces better or comparable enhanced images than several state-of-The-Art methods [1-4J. In addition, we also test the performance of the proposed method with the method mentioned in [1] using EME [5] and EMEE [6] quality measures.

Original languageEnglish (US)
Pages (from-to)221-225
Number of pages5
JournalSimulation Series
Volume48
Issue number9
StatePublished - Jan 1 2016
Event48th Summer Computer Simulation Conference, SCSC 2016, Part of the 2016 Summer Simulation Multi-Conference, SummerSim 2016 - Montreal, Canada
Duration: Jul 24 2016Jul 27 2016

Keywords

  • Adaptive histogram equalization
  • Domain transform
  • Edge enhancement
  • Enhancement
  • Shape-Adaptive edge filter

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Rajendran, R., Rao, S. P., Agaian, S. S., & Liss, M. A. (2016). A novel technique to enhance low resolution ct and magnetic resonance images. Simulation Series, 48(9), 221-225.