Skip to main content
  • 219 Accesses

Abstract

Digital images are the focus of many computer graphics processes. They are links between the user and these processes, revealing the results of the latter. We may even say that all areas of computer graphics involve digital images, whether as a final product, as in the case of visualization, or as an essential intermediate step in the interaction process, as in the case of modeling. Thus, an understanding of the meaning of images in this context is essential. A rigorous formulation of the various notions associated with digital images is necessary in order to allow an analysis of the data structures used in image representation and of the algorithms used in image creation and manipulation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Barnsley, M. and Hurd, L. P. (1993). Image Compression with Fractals. A. K. Peters, Wellesley, MA.

    Google Scholar 

  • Barnsley, M. F., Jacquin, A., Malassenet, F., Reuter, L., and Sloan, A. D. (1988). Harnessing chaos for image synthesis. Computer Graphics (SIGGRAPH ‘88 Proceedings), 22 (4): 131–140.

    Article  Google Scholar 

  • Chen, Y.-S., Yen, H.-T., and Hsu, W.-H. (1994). Compression of color images via the technique of surface fitting. CVGIP: Graphical Models and Image Processing, 56 (3): 272–279.

    Article  Google Scholar 

  • Clark, R. J. (1990). Transform Coding of Images. Academic Press, London.

    Google Scholar 

  • Fiume, E. and Ouellette, M. (1989). On distributed, probabilistic algorithms for computer graphics. Proceedings of Graphics Interface 89, 211–218.

    Google Scholar 

  • Gomes, J., Costa, B., Darsa, L., and Velho, L. (1996). Graphical objects. The Visual Computer 12 (6): 269.

    Google Scholar 

  • Gonzalez, R. and Wintz, P. (1987). Digital Image Processing Addison-Wesley, Reading, MA.

    Google Scholar 

  • Haykin, S. (1988). Digital Communications. John Wiley and Sons, New York.

    Google Scholar 

  • Heckbert, P. S. (1982). Color quantization for frame buffer display. Computer Graphics (SIGGRAPH ‘82 Proceedings), 14 (3): 297–307.

    Article  Google Scholar 

  • Huffman, D. A. (1962). A method for the construction of minimum redundancy codes. In Proceedings of IRE, 40: 1098–1101.

    Article  Google Scholar 

  • Jain, A. K. (1989). Fundamentals of Digital Image Processing Prentice-Hall, Englewood Cliffs, NJ.

    Google Scholar 

  • Lim, J. S. (1990). Two-Dimensional Signal and Image Processing Prentice-Hall, Englewood Cliffs, NJ.

    Google Scholar 

  • Linde, Y, Buzo, A., and Gray, R. M. (1980). An algorithm for vector quantizer design. IEEE Transactions Comm., COM-28(12): 84–95.

    Google Scholar 

  • Lloyd, S. P. (1957). Least square quantization in pcm’s. Technical Memo. Bell Telephone Labs.

    Google Scholar 

  • Max, J. (1960). Quantizing for minimum distortion IEEE Transactions Inform. Theory, Vol. IT-6, March 1960, 7–12.

    MathSciNet  Google Scholar 

  • Murray, J. D. and Ryper, W. V. (1994). Encyclopedia of Graphics File Formats. O’Reilly and Associates, Sebastopol, CA.

    Google Scholar 

  • Pavlidis, T. (1982). Algorithms for Graphics and Image Processing Computer Science Press, Rockville, MD.

    Book  Google Scholar 

  • Peitgen, H. O. and Saupe, D. (1988). The Science of Fractal Images. Springer-Verlag, New York.

    MATH  Google Scholar 

  • Pennebaker, W. and Mitchell, J. (1993). JPEG: Still Image Data Compression Standard. The Color Resource, San Francisco.

    Google Scholar 

  • Pratt, W. (1978). Digital Image Processing. Wiley—Interscience, New York.

    Google Scholar 

  • Resnikoff, H. L. (1987). The Illusion of Reality. Springer-Verlag, New York.

    Google Scholar 

  • Rosenfeld, A. (1993). Image modelling during the 1980’s: A brief overview. In Markov Random Fields, Theory and Applications, 1–10.

    Google Scholar 

  • Rosenfeld, A. and Kak, A. C. (1976). Digital Picture Processing. Academic Press, New York.

    Book  Google Scholar 

  • Samet, H. (1990). The Design and Analysis of Spatial Data Structures. Addison—Wesley, Reading, MA.

    Google Scholar 

  • Shannon, C. E. (1949). The Mathematical Theory of Communication. University of Illinois Press, Urbana, IL.

    Google Scholar 

  • Velho, L. and Alvarenga, C. (1990). Image compression by first-order approximation. In Proceedings IMAGE’COM, First International Conference on Image Chains, 387–391.

    Google Scholar 

  • Welch, T. A. (1984). A technique for high-performance data compression. Computer, (6): 8–19.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer Science+Business Media New York

About this chapter

Cite this chapter

Gomes, J., Velho, L. (1997). Digital Images. In: Image Processing for Computer Graphics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2745-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-2745-6_5

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4757-2747-0

  • Online ISBN: 978-1-4757-2745-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics