By William K. Pratt
A completely up-to-date version of a bestselling advisor to electronic picture processing, this e-book covers state of the art recommendations for reinforcing and reading electronic photographs from diverse assets - scanners, radar structures, and electronic cameras. A PIKS snapshot processing library of executable records in addition to electronic models of a few of the photos are supplied through ftp to assist observe the suggestions mentioned within the publication.
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Extra resources for Digital Image Processing: PIKS Inside
Sunlight appears as an extremely bright yellowish-white light, while the tungsten light bulb appears less bright and somewhat yellowish. The light-emitting diode appears to be a dim green; the mercury arc light is a highly bright bluish-white light; and the laser produces an extremely bright and pure red beam. These observations provoke many questions. What are the attributes of the light sources that cause them to be perceived differently? Is the spectral energy distribution sufficient to explain the differences in perception?
Lipkin and A. , Academic Press, New York, 1970. A. , McGraw-Hill, New York, 1991. J. B. Thomas, An Introduction to Applied Probability Theory and Random Processes, Wiley, New York, 1971. J. W. Goodman, Statistical Optics, Wiley, New York, 1985. E. R. Dougherty, Random Processes for Image and Signal Processing, Vol. , 1998. Digital Image Processing: PIKS Inside, Third Edition. William K. Pratt Copyright © 2001 John Wiley & Sons, Inc. ISBNs: 0-471-37407-5 (Hardback); 0-471-22132-5 (Electronic) 2 PSYCHOPHYSICAL VISION PROPERTIES For efficient design of imaging systems for which the output is a photograph or display to be viewed by a human observer, it is obviously beneficial to have an understanding of the mechanism of human vision.
Wald, “Visual Pigment in Single Rods and Cones of the Human Retina,” Science, 144, 3614, April 3, 1964, 45–52. G. Wald, “The Receptors for Human Color Vision,” Science, 145, 3636, September 4, 1964, 1007–1017. S. Hecht, “The Visual Discrimination of Intensity and the Weber–Fechner Law,” J. General. , 7, 1924, 241. W. F. Schreiber, Fundamentals of Electronic Imaging Systems, Springer-Verlag, Berlin, 1986. S. S. Stevens, Handbook of Experimental Psychology, Wiley, New York, 1951. F. Ratliff, Mach Bands: Quantitative Studies on Neural Networks in the Retina, HoldenDay, San Francisco, 1965.