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A l(1)-NORM PRESERVING MOTION-COMPENSATED TRANSFORM FOR SPARSE APPROXIMATION OF IMAGE SEQUENCES
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Sound and Image Processing (Closed 130101).ORCID iD: 0000-0002-7807-5681
2010 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper discusses an adaptive non-linear transform for image sequences that aims to generate a l(1)-norm preserving sparse approximation for efficient coding. Most sparse approximation problems employ a linear model where images are represented by a basis and a sparse set of coefficients. In this work, however, we consider image sequences where linear measurements are of limited use due to motion. We present a motion-adaptive non-linear transform for a group of pictures that outputs common and detail coefficients and that minimizes the l(1) norm of the detail coefficients while preserving the overall l(1) norm. We demonstrate that we can achieve a smaller l(1) norm of the detail coefficients when compared to that of motion-adaptive linear measurements. Further, the decay of normalized absolute coefficients is faster than that of motion-adaptive linear measurements.

Place, publisher, year, edition, pages
IEEE , 2010. 902-905 p.
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keyword [en]
Sparse approximation, l(1) norm, motion compensation, image sequence processing
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-32254ISI: 000287096000212Scopus ID: 2-s2.0-78049391332ISBN: 978-1-4244-4296-6 (print)OAI: oai:DiVA.org:kth-32254DiVA: diva2:411451
Conference
IEEE International Conference on Acoustics, Speech, and Signal Processing
Note

QC 20110418

Available from: 2011-04-18 Created: 2011-04-11 Last updated: 2016-05-02Bibliographically approved

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Flierl, Markus

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf