Image interpolation using Gabor filter

Ji Sang Bae, Oh Young Lee, Jong Ok Kim

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

2 Citations (Scopus)

Abstract

In this paper, we propose a novel image interpolation method using Gabor filter. It is significantly important to estimate edge direction accurately for image interpolation. For this, we adopt Gabor filter, which has been popularly used for texture-based feature extraction in object recognition. We exploit the superior point of Gabor filter, which is to detect small edges in texture region. By employing Gabor filter, the proposed method can find edge direction for inconspicuous as well as prominent edge more exactly. Experimental results for various test images demonstrate that the proposed method can achieve higher objective and subjective image quality than conventional edge-oriented methods. Especially our method shows better reconstruction results in texture regions that include small patterns such as forest, hair, fur and so on.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Pages986-990
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: 2013 Sep 152013 Sep 18

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Other

Other2013 20th IEEE International Conference on Image Processing, ICIP 2013
CountryAustralia
CityMelbourne, VIC
Period13/9/1513/9/18

Keywords

  • Edge Direction
  • Edge-Oriented
  • Gabor Filter
  • Image Interpolation
  • Texture

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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