Video Restoration with Motion Prediction Based on the Multiresolution Wavelet Analysis

  • Authors:
  • Kei Akiyama;Zhi-Wei Luo;Masaki Onishi;Shigeyuki Hosoe;Kouichi Taji;Yoji Uno

  • Affiliations:
  • Graduate School of Engineering, Nagoya University, Nagoya, Japan 464-8603 and Bio-mimetic Control Research Center, RIKEN, Nagoya, Japan 463-0003 and Hitachi Global Storage Technologies Japan, Ltd. ...;Faculty of Engineering, Kobe University, Kobe, Japan 657-8501 and Bio-mimetic Control Research Center, RIKEN, Nagoya, Japan 463-0003;Information Technology Research Institute, AIST, Tsukuba, Japan 305-8568 and Bio-mimetic Control Research Center, RIKEN, Nagoya, Japan 463-0003;Bio-mimetic Control Research Center, RIKEN, Nagoya, Japan 463-0003;Graduate School of Engineering, Nagoya University, Nagoya, Japan 464-8603;Graduate School of Engineering, Nagoya University, Nagoya, Japan 464-8603

  • Venue:
  • Neural Information Processing
  • Year:
  • 2008

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Abstract

We propose a novel method for image sequence restorations. It is based on the wavelet domain image restoration method proposed by Belge et al. for static images [1]. In this paper, by combining the iteration procedure in the Belge's method with the renewing process for sequentially given images and by employing Kalman filer for predicting the foreground movement of the images in the wavelet domain, considerable reduction of the computational cost is shown to be achievable. This is verified by computer simulations on artificially degraded images.