Realizing super-resolution with a directional anisotropic correlation model

Kyle Xiang Zhang, Yuk Hee Chan, Wan Chi Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper presents a directional anisotropic correlation model for super resolution reconstruction. A local adaptive correlation model is formed by exploiting local edge direction and anisotropic characteristic. For a local region with presence of edge or texture, a directional anisotropic correlation model is suitable to describe the local correlation while the correlation model tends to be more isotropic for a smoother region. A super resolution algorithm is proposed based on the proposed adaptive correlation model. Experiment shows that with the suggested correlation model the proposed algorithm is able to provide a good reconstruction result.
Original languageEnglish
Title of host publicationICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing
DOIs
Publication statusPublished - 1 Dec 2009
Event7th International Conference on Information, Communications and Signal Processing, ICICS 2009 - Macau Fisherman's Wharf, Macao
Duration: 8 Dec 200910 Dec 2009

Conference

Conference7th International Conference on Information, Communications and Signal Processing, ICICS 2009
Country/TerritoryMacao
CityMacau Fisherman's Wharf
Period8/12/0910/12/09

Keywords

  • Non-uniform interpolation
  • Super-resolution
  • Wiener filter

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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