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Abstract

Analog images must be sampled before being represented on the computer. In order to be visualized they must be displayed on a device that is able to reconstruct color, such as a CRT monitor. The sampling process is called rasterization; it is carried out by some sampling device, such as a scanner or TV camera, or by discretizing a continuous mathematical description of a scene, as in the case of the rendering process of image synthesis systems. The display device reconstructs the discrete image, creating an optical-electronic version that is perceived by the eye. Thus, an understanding of sampling and reconstruction is a good foundation for producing good-quality images.

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References

  • Amidor, J. P. (1991). The moiré phenomenon in color separation. In Raster Imaging and Digital Typography II, Proceedings of the 2nd Intl. Conf Raster Imaging and Digital Typography, Vol. 6, 96–119.

    Google Scholar 

  • Amidor, J. P., Hersch, R., and Ostromoukhov, V. (1994). Spectral analysis and minimization of moiré patterns in color separation. J Electronic Imaging, 3 (3): 295–317.

    Google Scholar 

  • Crow, F. (1977). The aliasing problem in computer generated shaded images. Comm. of the ACM, 20 (11): 799–805.

    Article  Google Scholar 

  • Dubois, E. (1985). The sampling and reconstruction of time-varying imagery with application in video systems. Proceedings of the IEEE, 73 (4).

    Google Scholar 

  • Fiume, E. L. (1989). The Mathematical Structure of Raster Graphics. Academic Press, New York.

    MATH  Google Scholar 

  • Glassner, A. (1995). Principles of Digital Image Synthesis, vol. 2. Morgan Kaufmann Publishers, Inc. San Francisco.

    Google Scholar 

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

    Google Scholar 

  • Heckbert, P. S. (1989). Fundamentals of Texture Mapping and Image Warping Master’s thesis, Dept. of Electrical Engineering and Computer Science, University of California, Berkeley.

    Google Scholar 

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

    Google Scholar 

  • Mertz, P. and Grey, F. (1934). A theory of scanning and its relation to the characteristics of the transmitted signal in telephotography and television. Bell System Tech. J. 13: 464–515.

    Google Scholar 

  • Mitchel, D. P. and Netravali, A. N. (1988). Reconstruction filters in computer graphics. Computer Graphics 22 (4): 221–228.

    Article  Google Scholar 

  • SIGGRAPH (1996). Warping and morphing of graphical objects. ’96 Course Notes ACM/SIGGRAPH. Also available on CD-ROM.

    Google Scholar 

  • Wolberg, G. (1990). Digital Image Warping. IEEE Computer Society Press, Los Alamitos, CA.

    Google Scholar 

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© 1997 Springer Science+Business Media New York

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Gomes, J., Velho, L. (1997). Sampling and Reconstruction. In: Image Processing for Computer Graphics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2745-6_7

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  • DOI: https://doi.org/10.1007/978-1-4757-2745-6_7

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4757-2747-0

  • Online ISBN: 978-1-4757-2745-6

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