Image resolution enhancement based on edge directed interpolation using dual tree Complex wavelet transform

Pilla Jagadeesh, Jayanthi Pragatheeswaran

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

11 Scopus citations

Abstract

Image resolution enhancement is a usable process for many image processing applications such as geoscience studies, astronomy and geographical information systems. One of the traditional methods used to increase the image resolution is image interpolation but the potential problem associated with it is to magnify the image many times without loss in image clarity. However, all the classical linear interpolation techniques like bilinear, bi-cubic interpolation methods generate blurred image. By employing dual-tree complex wavelet transform (DT-CWT) on a edge directional interpolation, it is possible to recover the high frequency components which provides an image with good visual clarity and thus super resolved high resolution images are obtained. The obtained simulation results comply with the above stated claim. A performance comparison of it is made with the recent work discussed in [7].

Original languageEnglish
Title of host publicationInternational Conference on Recent Trends in Information Technology, ICRTIT 2011
Pages759-763
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
EventInternational Conference on Recent Trends in Information Technology, ICRTIT 2011 - Chennai, India
Duration: Jun 3 2011Jun 5 2011

Publication series

NameInternational Conference on Recent Trends in Information Technology, ICRTIT 2011

Conference

ConferenceInternational Conference on Recent Trends in Information Technology, ICRTIT 2011
Country/TerritoryIndia
CityChennai
Period06/3/1106/5/11

Keywords

  • Dual-tree complex wavelet transform (DT-CWT)
  • Edge directed interpolation
  • resolution enhancement
  • Super resolved images

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