Iterative weighted regularized algorithm for improving the resolution of video sequences

Min Cheol Hong, Moon Gi Kang, Aggelos K. Katsaggelos

Research output: Contribution to conferencePaper

55 Citations (Scopus)

Abstract

This paper introduces an iterative regularized approach to increase the resolution of a video sequence. A multiple input smoothing convex functional is defined and used to obtain a globally optimal high resolution video sequence. A mathematical model of multiple inputs is described by using the point spread function between the original and bilinearly interpolated images in the spatial domain, and motion estimation between frames in the temporal domain. An iterative algorithm is utilized for obtaining the solution. The regularization parameter is updated at each iteration step from the partially restored video sequence. Experimental results demonstrate the capability of the proposed approach.

Original languageEnglish
Pages474-477
Number of pages4
Publication statusPublished - 1997
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA
Duration: 1997 Oct 261997 Oct 29

Other

OtherProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
CitySanta Barbara, CA, USA
Period97/10/2697/10/29

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Hong, M. C., Kang, M. G., & Katsaggelos, A. K. (1997). Iterative weighted regularized algorithm for improving the resolution of video sequences. 474-477. Paper presented at Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3), Santa Barbara, CA, USA, .