skip to main content
10.1145/3145690.3145702acmconferencesArticle/Chapter ViewAbstractPublication Pagessiggraph-asiaConference Proceedingsconference-collections
poster

A fast and efficient content aware downscaling based image compression method for mobile devices

Published:27 November 2017Publication History

ABSTRACT

Texture compression techniques have been of great interest especially for mobile phone industry due to the relatively smaller amount of memory available. Current texture compression encoding techniques are slow and CPU intensive, making it not suitable for on the fly encoding of uncompressed textures to compressed ones. To address this draw-back, we present a fast and effective approach to reduce the run-time memory footprint of images. We apply a compression mechanism which uses image downscaling adaptive to the image content. The compression technique does not cause any perceivable loss of quality. In our experiments we show that proposed method is on an average 6 dB higher in PSNR than Bi-linear uniform image downscaling technique at equal bits per pixel.

References

  1. CBCL. 2001. Face Database 1. (2001). http://www.ai.mit.edu/projects/cbclGoogle ScholarGoogle Scholar
  2. Ignacio CastaÃśo J.M.P. van Waveren. 2007. Real-Time YCoCg-DXT Compression. (2007).Google ScholarGoogle Scholar
  3. Jukka Jylanki. 2010. A thousand ways to pack the bin - a practical approach to two-dimensional rectangle bin packing. (2010).Google ScholarGoogle Scholar
  4. Kodak. 1999. Kodak lossless true color image suite. (1999). http://r0k.us/graphics/kodakGoogle ScholarGoogle Scholar
  5. Johannes Kopf, Ariel Shamir, and Pieter Peers. 2013. Content-adaptive Image Down-scaling. ACM Trans. Graph. 32, 6, Article 173 (Nov. 2013), 8 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. J. Nystad, A. Lassen, A. Pomianowski, S. Ellis, and T. Olson. 2012. Adaptive Scalable Texture Compression. In Proceedings of the Fourth ACM SIGGRAPH / Eurographics Conference on High-Performance Graphics (EGGH-HPG'12). ACM, Eurographics Association, Aire-la-Ville, Switzerland, Switzerland, 105--114. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Michael Rubinstein, Diego Gutierrez, Olga Sorkine, and Ariel Shamir. 2010. A Comparative Study of Image Retargeting. In ACM SIGGRAPH Asia 2010 Papers (SIGGRAPH ASIA '10). ACM, New York, NY, USA, Article 160, 10 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Paul Viola and Michael J. Jones. 2004. Robust Real-Time Face Detection. Int. J. Comput. Vision 57, 2 (May 2004), 137--154. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A fast and efficient content aware downscaling based image compression method for mobile devices

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      SA '17: SIGGRAPH Asia 2017 Posters
      November 2017
      114 pages
      ISBN:9781450354059
      DOI:10.1145/3145690

      Copyright © 2017 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 November 2017

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      Overall Acceptance Rate178of869submissions,20%
    • Article Metrics

      • Downloads (Last 12 months)9
      • Downloads (Last 6 weeks)2

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader