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Computer Optics, 2020, Volume 44, Issue 3, Pages 401–408
DOI: https://doi.org/10.18287/2412-6179-CO-616
(Mi co802)
 

This article is cited in 5 scientific papers (total in 5 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Quality control method of the transmission of fine image details in the JPEG2000

S. V. Sai, A. G. Schoberg

Pacific National University, Khabarovsk, Russia
References:
Abstract: The article proposes a method for controlling the transmission quality of fine image details in the JPEG2000 standard based on an automatic adjustment of the quantization parameters of discrete wavelet transform (DWT) coefficients. An algorithm for setting up quantization scale parameters for different transformation sub-ranges of the DWT coefficients depending on given (permissible) distortions is described. For an objective assessment of image quality, numerical measures of fine detail distortion in a normalized N-CIELAB colorimetric system are used, according to which an analysis of their structural features is performed. Results of the experimental studies of the analysis of image quality and compression efficiency depending on the quantization parameters utilized in the developed adaptive compression algorithm are presented. Results of evaluating the algorithm performance that can be used for practical applications in multimedia applications are also presented.
Keywords: image analysis, distortion metric, discrete wavelet transform, quantization, JPEG2000.
Received: 09.08.2019
Accepted: 22.10.2019
Document Type: Article
Language: Russian
Citation: S. V. Sai, A. G. Schoberg, “Quality control method of the transmission of fine image details in the JPEG2000”, Computer Optics, 44:3 (2020), 401–408
Citation in format AMSBIB
\Bibitem{SaiSch20}
\by S.~V.~Sai, A.~G.~Schoberg
\paper Quality control method of the transmission of fine image details in the JPEG2000
\jour Computer Optics
\yr 2020
\vol 44
\issue 3
\pages 401--408
\mathnet{http://mi.mathnet.ru/co802}
\crossref{https://doi.org/10.18287/2412-6179-CO-616}
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  • https://www.mathnet.ru/eng/co802
  • https://www.mathnet.ru/eng/co/v44/i3/p401
  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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    References:16
     
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