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Application of Reversible Denoising and Lifting Steps to LDgEb and RCT Color Space Transforms for Improved Lossless Compression

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Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery (BDAS 2015, BDAS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 613))

Abstract

The lifting step of a reversible color space transform employed during image compression may increase the total amount of noise that has to be encoded. Previously, to alleviate this problem in the case of a simple color space transform RDgDb, we replaced transform lifting steps with reversible denoising and lifting steps (RDLS), which are lifting steps integrated with denoising filters. In this study, we apply RDLS to more complex color space transforms LDgEb and RCT and evaluate RDLS effects on bitrates of lossless JPEG-LS, JPEG 2000, and JPEG XR coding for a diverse image test-set. We find that RDLS effects differ among transforms, yet are similar for different algorithms; for the employed denoising filter selection method, on average the bitrate improvements of RDLS-modified LDgEb and RCT are not as high as of the simpler transform. The RDLS applicability reaches beyond image data storage; due to its general nature it may be exploited in other lifting-based transforms, e.g., during the image analysis for data mining.

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Notes

  1. 1.

    Information technology–Lossless and near-lossless compression of continuous-tone still images–Baseline, ISO/IEC International Standard 14495-1 and ITU-T Recommendation T.87 (2006).

  2. 2.

    Information technology–JPEG 2000 image coding system: Core coding system, ISO/IEC International Standard 15444-1 and ITU-T Recommendation T.800 (2004).

  3. 3.

    Information technology–JPEG XR image coding system–Image coding specification, ISO/IEC International Standard 29199-2 and ITU-T Recommendation T.832 (2012).

  4. 4.

    http://links.uwaterloo.ca/Repository.html.

  5. 5.

    http://www.cipr.rpi.edu/resource/stills/kodak.html.

  6. 6.

    http://documents.epfl.ch/groups/g/gr/gr-eb-unit/www/IQA/Original.zip.

  7. 7.

    http://sun.aei.polsl.pl/~rstaros/optres/.

  8. 8.

    http://www.stat.columbia.edu/~jakulin/jpeg-ls/mirror.htm.

  9. 9.

    http://www.ece.uvic.ca/~mdadams/jasper/.

  10. 10.

    Information technology–JPEG XR image coding system–Reference software, ISO/IEC International Standard 29199-5 and ITU-T Recommendation T.835 (2012).

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Acknowledgments

This work was supported by BK-263/RAU2/2015 grant from the Institute of Informatics, Silesian University of Technology.

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Authors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Roman Starosolski

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  1. Roman Starosolski
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Correspondence to Roman Starosolski .

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Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa

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Starosolski, R. (2016). Application of Reversible Denoising and Lifting Steps to LDgEb and RCT Color Space Transforms for Improved Lossless Compression. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery. BDAS BDAS 2015 2016. Communications in Computer and Information Science, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-34099-9_48

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  • DOI: https://doi.org/10.1007/978-3-319-34099-9_48

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