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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Lossless image compression by LMS adaptive filter banks

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      Author
      Öktem, R.
      Çetin, A. Enis
      Gerek, O. N.
      Öktem, L.
      Egiazarian, K.
      Date
      2001
      Source Title
      Signal Processing
      Print ISSN
      0165-1684
      Publisher
      Elsevier
      Volume
      81
      Issue
      2
      Pages
      447 - 450
      Language
      English
      Type
      Article
      Item Usage Stats
      122
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      88
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      Abstract
      A lossless image compression algorithm based on adaptive subband decomposition is proposed. The subband decomposition is achieved by a two-channel LMS adaptive filter bank. The resulting coefficients are lossy coded first, and then the residual error between the lossy and error-free coefficients is compressed. The locations and the magnitudes of the nonzero coefficients are encoded separately by an hierarchical enumerative coding method. The locations of the nonzero coefficients in children bands are predicted from those in the parent band. The proposed compression algorithm, on the average, provides higher compression ratios than the state-of-the-art methods.
      Keywords
      Algorithms
      Data structures
      Error analysis
      Hierarchical systems
      Image coding
      Image compression
      Least squares approximations
      Adaptive subband decompositions
      Least mean square errors
      Lossless image compressions
      Adaptive filtering
      Permalink
      http://hdl.handle.net/11693/24897
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/S0165-1684(00)00204-8
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      • Department of Electrical and Electronics Engineering 3524
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