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Image Compression

  • Reference work entry
Encyclopedia of GIS

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Synonyms

Data compression; Lossless image compression; Lossy image compression

Definition

Image compression is the process of encoding digital image information using fewer bits than an unencoded representation would use through use of specific encoding schemes.

Historical Background

Uncompressed image data is large in file size. To store or transmit the uncompressed image requires considerable storage capacity and transmission bandwidth. For example, for a uncompressed color picture file of 6,000 × 4,800 pixel (good for a mere 10 × 8 in. print at 600 dpi), number of bytes required to store it is 85 MB. Despite rapid progress in mass-storage density, processor speeds, and digital communication system performance, demand for image storage capacity and image transmission bandwidth constantly outstrip the technical progress. Image compression is therefore essential for image storage and transmission in most cases. In geographic information systems (GIS), images are generally...

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Recommended Reading

  1. Wikipedia. Image compression. http://en.wikipedia.org/wiki/Image_compression

  2. Saha, S.: Image compression—from DCT to wavelets: a review. http://www.acm.org/crossroads/xrds6-3/sahaimgcoding.html

  3. Motta, G., Rizzo, F., Storer, J. A.: Digital image compression. In: Ralston, A., Reilly, E.D., Hemmendinger, D. (eds.) The Encyclopedia of Computer Science, 4th edn. Grove Dictionaries (2000)

    Google Scholar 

  4. GIS Standards. http://fortboise.org/maps/GISstandards.html

  5. Komzak, J., Slavik, P.: Architecture of system for configurable GIS data compression. http://kmi.open.ac.uk/people/jiri/publ/wscg2002.pdf

  6. Pajarola, R., Widmayer, P.: Spatial indexing into compressed raster images: how to answer range queries without decompression. http://www.ifi.unizh.ch/vmml/admin/upload/MMDBMS96.pdf

  7. Matsuoka, R., Sone, M., Fukue, K., Cho, K., Shimoda, H.: Quantitative analysis of image quality of lossy compression images. http://www.isprs.org/istanbul2004/comm3/papers/348.pdf

  8. Pajarola, R., Widmayer, P.: An image compression method for spatial search. IEEE Trans. Image Process. 9, (2000)

    Google Scholar 

  9. Ageenko, E.I., Frnti, P.: Compression of large binary images in digital spatial libraries. Comput. Graphics 24, 91–98 (2000)

    Article  Google Scholar 

  10. Schiewe, J.: Effect of lossy data compression techniques of geometry and information content of satellite imagery. IAPRS. 32, 540–544 (1998)

    Google Scholar 

  11. Hassan Ghassemain. On-board satellite image compressiaon by object‐feature wxtraction. International Atchieves of Photogrammertry Remote Sensing and Spatial Information Sciences.35, 820–825 (2004)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Physiology and Biophysics, Mayo Clinic, Rochester, MN, USA

    Lei Sha

Authors
  1. Lei Sha
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, 55455, USA

    Shashi Shekhar (McKnight Distinguished University Professor) (McKnight Distinguished University Professor)

  2. Management Science and Information Systems Department, Rutgers Business School Newark and New Brunswick Rutgers, the State University of New Jersey, Newark, NJ, 07102, USA

    Hui Xiong (Assistant Professor) (Assistant Professor)

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© 2008 Springer-Verlag

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Sha, L. (2008). Image Compression. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_584

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