Improved image inpainting using maximum value edge detector

Chandralekha De, Frank Shih

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

1 Scopus citations

Abstract

Image inpainting is a novel method to repair damaged images. In this paper, an improved edge operator is proposed to calculate the structure priority value for determining the order of filling in an image. We use a maximum value edge operator which refines the number of edge pixels detected accurately as opposed to the existing method which relies on a single edge operator and in many cases may not provide the best output. An improvement in accuracy for edge detection thereby improves the quality of the inpainting method.

Original languageEnglish (US)
Title of host publication2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Proceedings
Pages77-80
Number of pages4
DOIs
StatePublished - Jul 2 2012
Event2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012 - Santa Fe, NM, United States
Duration: Apr 22 2012Apr 24 2012

Other

Other2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012
CountryUnited States
CitySanta Fe, NM
Period4/22/124/24/12

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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