Abstract
This chapter introduces information theory into the mathematical development to establish an approach, based on fundamental principles, for the assessment of visual communication. In this assessment, we must clearly distinguish image reconstruction (Chapter 2) from restoration (Chapter 3). Whereas the reconstruction is intended to produce a continuous representation of the discrete output of the image-gathering device, the restoration is intended to produce a representation of the input to this device. The information-theoretic assessment is meaningful only for image restoration for which a close correlation evolves between information rate and image quality.
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
C. E. Shannon, “A mathematical theory of communication,” Bell Syst. Tech. J. 27, 379-423, and 28, 623-656 (1948); C. E. Shannon and W. Weaver, The Mathematical Theory of Communication (U. Illinois Press, Urbana, 1964 ).
P. B. Fellgett and E. H. Linfoot, “On the assessment of optical images,” Philos. Trans. Roy. Soc. London 247, 369 - 407 (1955).
E. H. Linfoot, “Information theory and optical images,” J. Opt. Soc. Am. 45, 808 - 819 (1955).
E. H. Linfoot, “Transmission factors and optical design,” J. Opt. Soc. Amer. 46, 740 - 752 (1956).
E. H. Linfoot, “Quality evaluations of optical systems,” Optica Ada 5, 1 - 14 (1958).
B. R. Frieden, “Information, and the restorability of images,” J. Opt. Soc. Am. 60, 575 - 576 (1970).
F. O. Huck, C. L. Fales, J. A. McCormick and S. K. Park, “Image-gathering system design for information and fidelity,” J. Opt. Soc. Am. A5, 285 - 299 (1988).
C. E. Shannon, “Coding theorems for a discrete source with a fidelity criterion.” In: R. A. Machol, ed., Information and Decision Process (McGraw-Hill, New York, 93-126, 1960); IRE Natl. Cony. Rec., part 4, 142 - 164 (1959).
A. K. Jain, Fundamentals of Digital Image Processing (Prentice-Hall, Englewood Cliffs, New Jersey, 1989 ).
P.-S. Yeh, R. F. Rice and W. Miller, “On the optimality of code options for a universal noiseless coder,” JPL Publication 91 - 2 (1991).
H. B. Barlow, “Critical limiting factors in the design of the eye and visual cortex,” Proc. R. Soc. London B212, 1 - 34 (1981).
T. N. Cornsweet, Visual Perception ( Academic Press, New York, 1970 ).
R. L. De Valois, H. Morgan and D. M. Snodderly, “Psychophysical studies of monkey vision-III,” Vision Res. 14, 75 - 81 (1974).
R. L. Valois and K. K. Valois, Spatial Vision ( Oxford University Press, Oxford, 1990 ).
R. P. Dooley, “Predicting brightness appearance at edges using linear and non-linear visual describing functions,” Proc. of the SPSE Annual Meeting, Denver, Colorado (14 May, 1975 ).
P.G. Roetling, “Visual performance and image coding,” Proc. of the SPIE 74, 195-199, Pacific Grove, California (24-26 February 1976 ).
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer Science+Business Media New York
About this chapter
Cite this chapter
Huck, F.O., Fales, C.L., Rahman, Zu. (1997). Information-Theoretic Assessment. In: Visual Communication. The Springer International Series in Engineering and Computer Science, vol 409. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2568-1_4
Download citation
DOI: https://doi.org/10.1007/978-1-4757-2568-1_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5180-9
Online ISBN: 978-1-4757-2568-1
eBook Packages: Springer Book Archive