Spatial-temporal method for image restoration in aged motion pictures

Rong Chi Chang, Timothy K. Shih

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

Abstract

This paper proposes a series of defect detection algorithms for video inpainting. The proposed algorithms are developed based on adjustable thresholds and the primary focus of these algorithms is to provide a better way to repair different kinds of aged films. Two major defect detection techniques that have been created in this study are automatic spike and dirt detection mechanism. Several important findings have been released in the study. First, the findings indicate that if the user is able to choose appropriate threshold, most damages in an aged video clip can be detected. Second, the findings exhibit that spatial information can be used to repair certain damages, which can not be fixed by temporal information due to fast motion. Finally, the results of this study are visually pleasant with most defects removed.

Original languageEnglish
Title of host publicationProceedings - 21st International Conference on Advanced Information Networking and Applications, AINA 2007
Pages724-729
Number of pages6
DOIs
StatePublished - 2007
Event21st International Conference on Advanced Information Networking and Applications, AINA 2007 - Niagara Falls, ON, Canada
Duration: 21 May 200723 May 2007

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN (Print)1550-445X

Conference

Conference21st International Conference on Advanced Information Networking and Applications, AINA 2007
Country/TerritoryCanada
CityNiagara Falls, ON
Period21/05/0723/05/07

Keywords

  • Defect detection
  • Image completion
  • Inpainting
  • Motion estimation
  • Video inpainting

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