Virtually-lossless compression of medical images through classified prediction and context-based arithmetic coding (Contributo in atti di convegno)

Type
Label
  • Virtually-lossless compression of medical images through classified prediction and context-based arithmetic coding (Contributo in atti di convegno) (literal)
Anno
  • 1998-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1117/12.334609 (literal)
Alternative label
  • Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Franco Lotti (1998)
    Virtually-lossless compression of medical images through classified prediction and context-based arithmetic coding
    in SPIE Electronic Imaging 1999: Visual Communications and Image Processing '99, San Jose, CA, USA, 25-27 Gennaio 1999
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Franco Lotti (literal)
Pagina inizio
  • 1033 (literal)
Pagina fine
  • 1040 (literal)
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  • Congresso tenuto nel Gennaio 1999 ma Proceedings pubblicati precedentemente nel Dicembre 1998. (literal)
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  • http://spiedigitallibrary.org/proceedings/resource/2/psisdg/3653/1/1033_1?isAuthorized=no (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of SPIE Electronic Imaging 1999: Visual Communications and Image Processing '99 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 3653 (literal)
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  • 3653 (literal)
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  • 8 (literal)
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  • 2 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • \"Nello Carrara\" IROE-CNR, Via Panciatichi, 64, 50127 Firenze, Italy Dept. of Electron. Engin., Univ. of Florence, Via St. Marta, 3, 50139 Firenze, Italy \"Nello Carrara\" IROE-CNR, Via Panciatichi, 64, 50127 Firenze, Italy \"Nello Carrara\" IROE-CNR, Via Panciatichi, 64, 50127 Firenze, Italy (literal)
Titolo
  • Virtually-lossless compression of medical images through classified prediction and context-based arithmetic coding (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 0-8194-3124-9 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • K. Aizawa; R. L. Stevenson; Y.-Q. Zhang (literal)
Abstract
  • This paper proposes a method to achieve a virtually-lossless compression of medical images. An image is normalized to the standard deviation of its noise, which is adaptively estimated in an unsupervised fashion. The resulting bit map is encoded without any further loss. The compression algorithm is based on a classified linear-regression prediction followed by context-based arithmetic coding of the outcome residuals. Images are partitioned into blocks, e.g., 16×16, and a minimum mean square (MMSE) linear predictor is calculated for each block. Given a preset number of classes, a Fuzzy-C-Means algorithm produces an initial guess of classified predictors to be fed to an iterative procedure which classifies pixel blocks simultaneously refining the associated predictors. All the predictors are transmitted along with the label of each block. Coding time are affordable thanks to fast convergence of the iterative algorithms. Decoding is always performed in real time. The compression scheme provides impressive performances, especially when applied to X-ray images. (literal)
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