Efficient optimization of inpainting scheme and line scratch detection for old film restoration

Seong Whan Kim, Ki Hong Ko

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

6 Scopus citations

Abstract

Old films usually have typical damages from dirt, scratch, and scribbling. These damages make an image degradation of vertical line scratches or blotches in frames. This paper proposes an efficient line scratch detection technique and efficient inpainting method based on MSE (mean square error) to fill the identified line scratch areas. Previous line scratch detection algorithms can only detect full column line scratches; however, we found that partial line scratch should also be identified for better film restoration. We identify line scratches using block-by-block inspection; thereby we can detect partial line scratches. After identifying the line scratches, we use a modified inpainting scheme, which uses MSE measure to compute gradient vector of the inpainting regions. In our experiment with old Korean films, we show that our scheme gives better video quality with much reduced computational complexity.

Original languageEnglish
Title of host publicationPRICAI 2006
Subtitle of host publicationTrends in Artificial Intelligence - 9th Pacific Rim International Conference on Artificial Intelligence, Proceedings
PublisherSpringer Verlag
Pages623-631
Number of pages9
ISBN (Print)3540366679, 9783540366676
DOIs
StatePublished - 2006
Event9th Pacific Rim International Conference on Artificial Intelligence - Guilin, China
Duration: 7 Aug 200611 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4099 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Pacific Rim International Conference on Artificial Intelligence
Country/TerritoryChina
CityGuilin
Period7/08/0611/08/06

Keywords

  • Inpainting
  • Isophote line
  • Line Scratch
  • MSE
  • Restoration

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