Super-resolution by prediction based sub-pel motion estimation

Damith J. Mudugamuwa, Xiangjian He, Daming Wei, Chung Hyun Ahn

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

1 Citation (Scopus)

Abstract

Super-resolution reconstruction produces high-resolution images from a set of low-resolution images of the same scene. In the last two and a half decades, many super-resolution algorithms have been proposed. These algorithms are usually very sensitive to their assumed models of data and noise, and also computationally expensive for many practical applications. In this paper we adopt computationally efficient prediction based sub-pel motion estimation to produce a fast super-resolution reconstruction that can also accommodate generic motion patterns. The proposed algorithm adaptively exploits the available high frequency content in adjacent video frames to generate high resolution video frames. Initial experiments showed promising results of around 2dB, PSNR improvement, over single frame bi-linear interpolation.

Original languageEnglish
Title of host publication2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings
Pages282-287
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Wellington, New Zealand
Duration: 23 Nov 200925 Nov 2009

Publication series

Name2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings

Conference

Conference2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009
Country/TerritoryNew Zealand
CityWellington
Period23/11/0925/11/09

Keywords

  • Image de-blurring
  • Image registration
  • Image restoration
  • Motion estimation
  • Super-resolution

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition

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