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Medical image super-resolution analysis with sparse representation

  • Harbin Institute of Technology
  • Heilongjiang University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a novel method for Super-Resolution Medical image based sparse representation, with the aim to solve the problem of MR image resolution owing to the limitations of hardware and acquisitions. With two coupled dictionaries the sparse representation of a low resolution medical image blocks is used to generate a high resolution. Some evaluations are implemented to compare with previous method, and the proposed algorithm has its advantage on super-resolution.

Original languageEnglish
Title of host publicationProceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2012
Pages106-109
Number of pages4
DOIs
StatePublished - 2012
Event2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2012 - Piraeus-Athens, Greece
Duration: 18 Jul 201220 Jul 2012

Publication series

NameProceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2012

Conference

Conference2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2012
Country/TerritoryGreece
CityPiraeus-Athens
Period18/07/1220/07/12

Keywords

  • medical image
  • sparese representation
  • super-resolution analysis

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