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Influence of the Number and Pattern of Geometrical Entities in the Image upon PNG Format Image Size

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Intelligent Information and Database Systems (ACIIDS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7197))

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Abstract

The research is focused on the study of the impact of the number and the pattern of geometrical entities and colour models in map like drawings upon the file size of PNG format. The main outputs originate from the exploration of an extended sample set of PNG images generated by Web Map Services of selected European servers. Original images were subsequently transformed to different colour models of PNG (RGBA, RGB, Palette, interlaced, non-interlaced). The images were analysed according to the number of entities, style and size of lines and the number of used RGBA values. We found that the number of geometrical entities can be replaced by the ratio of foreground pixels in an image. The file size grows with higher image density according to different functions which are driven by colour models and line widths, partly also by patterns. In order to minimise files sizes it is recommended to transform images into appropriate palette models and to avoid anti-aliasing changes of transparency.

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References

  1. Aguilera, P.: Comparison of different image compression formats. ECE 533 Project Report, Computer Aided Engineering (2006)

    Google Scholar 

  2. Comparison of png8 versus png24 - Mass GIS - CommonWiki, https://wiki.state.ma.us/confluence/display/massgis/comparison+of+png8+versus+png24

  3. Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community, INSPIRE (2007)

    Google Scholar 

  4. Feldspar, A.: An Explanation of the Deflate Algorithm, http://www.zlib.org/feldspar.html

  5. Fränti, P., Hautamäki, V.: Compression of aerial images for reduced-color devices. In: Image and Video Communications and Processing, pp. 651–662. SPIE, Santa Clara (2003)

    Google Scholar 

  6. INSPIRE Commission Regulation (EC) No 976/2009 of 19 October 2009 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards the Network Services, pp. 9–18 (2009)

    Google Scholar 

  7. Krejcar, O.: Localization by Wireless Technologies for Managing of Large Scale Data Artifacts on Mobile Devices. In: Nguyen, N.T., Kowalczyk, R., Chen, S.-M. (eds.) ICCCI 2009. LNCS (LNAI), vol. 5796, pp. 697–708. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  8. Miano, J.: Compressed image file formats. Addison Wesley Longman, Massachusetts (1999)

    Google Scholar 

  9. Open GIS Consortium, Inc.: OpenGIS Simple Feature Specification for SQL. OGC (1999), http://portal.opengeospatial.org/files/?artifact_id=829

  10. Oyvind, R.: Runlength-based processing methods for low bit-depth images. IEEE Transactions on Image Processing 18(9), 2048–2058 (2009)

    Article  MathSciNet  Google Scholar 

  11. Portable Network Graphics (PNG) Specification, 2 edn., http://www.w3.org/TR/PNG/

  12. Roelofs, G.: PNG: The Definitive Guide. O’Reilly & Associates, Sebastopol (1999)

    Google Scholar 

  13. Still, M.: The Definitive Guide to Image Magick. Apress, Berkeley (2006)

    Google Scholar 

  14. Wiggins, R.H., Davidson, H.C., Harnsberger, H.R., Lauman, J.R., Goede, P.A.: Image File Formats: Past, Present and Future. Radio Graphics 21(3), 789–798 (2001)

    Google Scholar 

  15. Xuan, S.: Python for Internet GIS Applications. Computing in Science and Engineering 9(3), 56–59 (2007)

    Article  Google Scholar 

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Horák, J., Růžička, J., Novák, J., Ardielli, J., Szturcová, D. (2012). Influence of the Number and Pattern of Geometrical Entities in the Image upon PNG Format Image Size. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28490-8_47

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  • DOI: https://doi.org/10.1007/978-3-642-28490-8_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28489-2

  • Online ISBN: 978-3-642-28490-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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