Adaptive Spatial and Temporal Prefiltering for Video Compression

  • Astrid Lundmark
  • Leif Haglund
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)


When compressing video sequences, noise is fatal to compression performance. Imaging is inherently a noisy process since the number of photons hitting a detector is a statistical process. When scene illumination is high, the statistical nature of the number of photons hitting each detector is of no importance, since other effects such as quantization dominate. For other applications, military for example, where the imaging has to be done with whatever illumination is naturally available, the noise can be both annoying for the observer and make transmission of the imagery consume excessive amounts of bandwidth. We show results of using content based spatial prefiltering combined with motion vector certainty controlled temporal prefiltering to reduce the noise and thus improve both visual impression and transmission properties.


Test Sequence Video Code Quantization Parameter Video Compression Digital Imagery 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Astrid Lundmark
    • 1
  • Leif Haglund
    • 1
  1. 1.Saab Bofors Dynamics ABSweden

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