Iterative image interpolation for irregularly sampled image

Jonghwa Lee, Chulhee Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For irregularly sampled color images, an iterative interpolation algorithm utilizing a wavelet shrinkage denoising technique is proposed. Exploiting the non-local information from neighboring blocks, the reconstruction performance converges as the iteration of the proposed algorithm is repeated. Experimental results show that the proposed algorithm outperforms the conventional algorithms in terms of subjective quality and objective measures. The proposed algorithm correctly reconstructs the edge and provides perceptually good performance with randomly chosen 25% pixels.

Original languageEnglish
Title of host publicationVISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
Pages176-181
Number of pages6
Publication statusPublished - 2012 Jun 15
EventInternational Conference on Computer Vision Theory and Applications, VISAPP 2012 - Rome, Italy
Duration: 2012 Feb 242012 Feb 26

Publication series

NameVISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
Volume1

Other

OtherInternational Conference on Computer Vision Theory and Applications, VISAPP 2012
CountryItaly
CityRome
Period12/2/2412/2/26

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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  • Cite this

    Lee, J., & Lee, C. (2012). Iterative image interpolation for irregularly sampled image. In VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications (pp. 176-181). (VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications; Vol. 1).