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Image Coding and Compression with Sparse 3D Discrete Cosine Transform

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Independent Component Analysis and Signal Separation (ICA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5441))

Abstract

In this paper, an algorithm for image coding based on a sparse 3-dimensional Discrete Cosine Transform (3D DCT) is studied. The algorithm is essentially a method for achieving a sufficiently sparse representation using 3D DCT. The experimental results obtained by the algorithm are compared to the 2D DCT (used in JPEG standard) and wavelet db9/7 (used in JPEG2000 standard). It is experimentally shown that the algorithm, that only uses DCT but in 3 dimensions, outperforms the DCT used in JPEG standard and achieves comparable results (but still less than) the wavelet transform.

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Author information

Authors and Affiliations

  1. Electrical Engineering Department and Advanced Communications Research Institute (ACRI), Sharif University of Technology, Tehran, Iran

    Hamid Palangi, Aboozar Ghafari & Massoud Babaie-Zadeh

  2. GIPSA-lab, Grenoble, France

    Christian Jutten

Authors
  1. Hamid Palangi
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  2. Aboozar Ghafari
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  3. Massoud Babaie-Zadeh
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  4. Christian Jutten
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Electrical Engineering, ITE 324, University of Maryland, Baltimore County, 1000 Hilltop Circle, MD 21250, Baltimore, USA

    Tülay Adali

  2. Domaine Universitaire, GIPSA-lab, BP 46, 38402, Saint Martin d’Hères Cedex, France

    Christian Jutten

  3. Departamento de Microonda e Óptica (DMO), FEEC / Unicamp, Avenida Albert Einstein 400, 13083-852, Campinas, Sao Paulo, Brazil

    João Marcos Travassos Romano

  4. Centro Tecnológico, Curso de Engenharia Elétrica, Universidade Federal do Maranhão, Avenida dos Portugueses, s/n, Bacanga, 65080-040, São Luís, MA, Brazil

    Allan Kardec Barros

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© 2009 Springer-Verlag Berlin Heidelberg

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Palangi, H., Ghafari, A., Babaie-Zadeh, M., Jutten, C. (2009). Image Coding and Compression with Sparse 3D Discrete Cosine Transform. In: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds) Independent Component Analysis and Signal Separation. ICA 2009. Lecture Notes in Computer Science, vol 5441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00599-2_67

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  • DOI: https://doi.org/10.1007/978-3-642-00599-2_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00598-5

  • Online ISBN: 978-3-642-00599-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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