Abstract
An image is a reproduction of a person or a thing, and image formation is the reproduction process. Thus, images are representations of objects, which are sensed through their radiant energy, e.g., light. Therefore, by its definition, image formation requires a radiant source,an object, and a formation system. Radiant sources can be of various kinds (e.g., white light sources, laser systems, X-ray tubes, thermal sources, even acoustic wave sources). Therefore, the physics of image formation can vary accordingly. The nature of the radiation also greatly influences the structure of the formation system. There exist formation systems which are biological (e.g., the vision system of the human and the animals), photochemical (e.g., photographic cameras) or photoelectronic (e.g., TV cameras). Thus it is very difficult to build an image formation model that can encompass this enormous variety of radiation sources and image formation systems. The model described in Figure 3.1.1 is quite general and can be used in various digital image processing and computer vision applications.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M.D. Levine, Vision in man and machine, McGraw Hill, 1985.
H.0 Andrews, B.R. Hunt, Digital image restoration, Prentice-Hall, 1977.
J. Foley, A. Van Dam, Fundamentals of interactive computer graphics, Addison-Wesley, 1981.
T. E. Jenkins, Optical sensing techniques and signal processing, Prentice-Hall, 1987.
D.F. Barbe, “Imaging devices using the charge coupled concept”, Proceeding of the IEEE, vol. 63, pp. 38–67, 1975.
C.E.K. Mees, The theory of the photographic process, McMillan Company, 1954.
D.G. Falconer, “Image enhancement and film-grain noise”, Optica Acta, vol. 17, pp. 693–705, 1970.
D.E. Dudgeon, R.M. Mersereau, Multidimensional digital signal processing, Prentice-Hall, 1984.
W.K. Pratt, Digital image processing, J. Wiley, 1978.
G. Westheimer, F.W. Campel, “Light distribution in the image formed by the living human eye”, Journal of the Optical Society of America, vol. 52, No. 9, pp. 1040–1045, 1962.
G. Wizecki, W.S. Stiles, Color science, concepts and methods, quantitative data and formulas, Wiley, 1967.
W.F. Schreiber, “Image processing for quality improvement”, Proc. of IEEE, vol. 66, no. 12, pp. 1640–1651, Dec. 1978.
J.L. Mannos, D. Sacrison, “The effects of the visual fidelity criterion on the encoding of images” IEEE Transactions on Information Theory, vol. IT-20, pp. 525–536, 1974.
C.F. Hall, E.L. Hall, “A nonlinear model for the spatial characteristics of the human visual system”, IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-7, no. 3, pp. 161–170, March 1977.
J. Metzler (editor), Systems neuroscience, Academic Press, 1977.
T.G. Stockham Jr., “Image processing in the context of a visual model”, Proc. of IEEE, vol. 60, no. 7, pp. 828–842, July 1972.
C.F Hall, “Subjective evaluation of a perceptual quality metric”, Image Quality, Proc. Soc. Photo Opt. Instr. Eng., vol. 310, pp. 200–204, 1981.
H. Marmolin, “Subjective MSE measures”, IEEE Transactions on Systems, Man, Machine and Cybernetics, vol. SMC-16, no. 3, pp. 486–489, 1986.
L. Mandel, “Fluctuations of photon beams, the distribution of the photoelectrons”, Proc. Phys. Soc. of London, vol. 74, pp. 233–243, 1959.
C.F. Hall, “The application of human visual system models to digital color image compression”, Proc. IEEE Int. Comm. Conf., pp. 436–441, Boston, 1983.
B.R. Hunt, “Digital image processing”, Proc. IEEE, vol. 63. no. 4, pp. 693–708, April 1975.
A. Papoulis, Probability, random variables and stochastic processes, McGraw-Hill, 1984.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1990 Springer Science+Business Media New York
About this chapter
Cite this chapter
Pitas, I., Venetsanopoulos, A.N. (1990). Image Formation. In: Nonlinear Digital Filters. The Springer International Series in Engineering and Computer Science, vol 84. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6017-0_3
Download citation
DOI: https://doi.org/10.1007/978-1-4757-6017-0_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5120-5
Online ISBN: 978-1-4757-6017-0
eBook Packages: Springer Book Archive