Photo defect detection for image inpainting

Rong Chi Chang, Yun Long Sie, Su Mei Chou, Timothy K. Shih

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

16 Scopus citations

Abstract

Image inpainting (or image completion) techniques use textural or structural information to repair or fill damaged potions of a picture. However, most techniques request a human to identify the portion to be inpainted. We developed a new mechanism which can automatically detect defect portions in a photo, including damages by color ink spray and scratch drawing. The mechanism is based on several filters and structural information of damages. Old photos from the author's family are used for testing. Preliminary results show that most damages can be automatically detected without human involvement. The mechanism is integrated with our inpainting algorithms to complete a fully automatic photo defects repairing system.

Original languageEnglish
Title of host publicationProceedings - Seventh IEEE International Symposium on Multimedia, ISM 2005
Pages403-407
Number of pages5
DOIs
StatePublished - 2005
EventSeventh IEEE International Symposium on Multimedia, ISM 2005 - Irvine, CA, United States
Duration: 12 Dec 200514 Dec 2005

Publication series

NameProceedings - Seventh IEEE International Symposium on Multimedia, ISM 2005
Volume2005

Conference

ConferenceSeventh IEEE International Symposium on Multimedia, ISM 2005
Country/TerritoryUnited States
CityIrvine, CA
Period12/12/0514/12/05

Keywords

  • Defect detection
  • Image inpainting
  • Image processing
  • Image restoration
  • Structural features

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