Spatio-temporal motion compensated noise filtering of image sequences

Aggelos K Katsaggelos, J. N. Driessen, S. N. Efstratiadis, R. L. Lagendijk

Research output: Contribution to journalArticle

29 Scopus citations

Abstract

In this paper the filtering of noise in image sequences using spatio-temporal motion compensated techniques is considered. Noise in video signals degrades both the image quality and the performance of subsequent image processing algorithms. Although the filtering of noise in single images has been studied extensively, there have been few results in the literature on the filtering of noise in image sequences. A number of filtering techniques are proposed and compared in this work. They are grouped into recursive spatio-temporal and motion compensated filtering techniques. A 3-D point estimator which is an extension of a 2-D estimator due to Kak [5] belongs in the first group, while a motion compensated recursive 3-D estimator and 2-D estimators followed by motion compensated temporal filters belong in the second group. The motion in the sequences is estimated using the pel-recursive Wiener-based algorithm [8] and the block-matching algorithm. The methods proposed are compared experimentally on the basis of the signal-to-noise ratio improvement and the visual quality of the restored image sequences.

Original languageEnglish (US)
Pages (from-to)61-70
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1199
DOIs
StatePublished - Nov 1 1989

ASJC Scopus subject areas

  • Applied Mathematics
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Spatio-temporal motion compensated noise filtering of image sequences'. Together they form a unique fingerprint.

  • Cite this