Flicker parameters estimation in old film sequences containing moving objects

Xiaoyong Zhang, Masahide Abe, Masayuki Kawamata

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The aim of this study is to improve the accuracy of flicker parameters estimation in old film sequences in which moving objects are present. Conventional methods tend to fail in flicker parameters estimation due to the effects of moving objects. Our proposed method firstly utilizes an adaptive Gaussian mixture model (GMM)-based method to detect the moving objects in the film sequences, and combines the detected results with the histogram-matched frames to generate reference frames for flicker parameters estimation. Then, on the basis of a linear flicker model, the proposed method uses an M-estimator with the reference frames to estimate the flicker parameters. Experimental results show that the proposed method can effectively improve the accuracy of flicker parameters estimation when the moving objects are present in the film sequences.

Original languageEnglish
Pages (from-to)2836-2844
Number of pages9
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE94-A
Issue number12
DOIs
Publication statusPublished - 2011 Dec

Keywords

  • Flicker correction
  • Gaussian mixture model
  • M-estimation
  • Motion detection
  • Old film restoration

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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