Abstract
Multiresponse imaging is a process that acquires A images, each with a different optical response, and reassembles them into a single image with an improved resolution that can approach \(1/\sqrt {\bar A}\) times the photodetector-array sampling lattice. Our goals are to optimize the performance of this process in terms of the resolution and fidelity of the restored image and to assess the amount of information required to do so. The theoretical approach is based on the extension of both image restoration and rate distortion theories from their traditional realm of signal processing to image processing which includes image gathering and display.
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
W.E Schreiber, Fundamentals of Electronic Imaging Systems, Berlin: Springer-Verlag, 1986.
C.L. Fales, F.O. Huck, J.A. McCormick and S.K. Park, “Wiener Restoration of Sampled Image Data: End-to-End Analysis,” J. Opt. Soc. Am. vol. A5, 1988, pp. 300–314.
J.A. McCormick, R. Alter-Gartenberg, and F.O. Huck, “Image Gathering and Restoration: Information and Visual Quality,” / Opt. Soc. Am. vol. A6, 1989, pp. 987–1005.
F.O. Huck, R. Alter-Gartenberg, and Z. Rahman, “Image Gathering and Digital Restoration for Fidelity and Visual Quality,” CVGIP: Graphical Models and Image Processing, vol.51, 1991, rip. 71–84.
S.E. Reichenbach and S.K. Park, “Small Convolution Kernels for High-Fidelity Image Restoration,” IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-39, pp. 2263–2274, 1991.
C.L. Fales and F.O. Huck, “An Information Theory of Image Gathering,” Information Sciences, vol. 57-58, 1991, pp. 245–285.
R.C. Gonzalez and P. Wintz, Digital Image Processing, Reading, MA: Addison-Wesley, 1977.
H.C. Andrews and B.R. Hunt, Digital Image Restoration, Englewood Cliffs, NJ: Prentice-Hall, 1977.
T.S. Huang, ed., Picture Processing and Digital Filtering, Berlin: Springer-Verlag, 1979.
C.E. Shannon and W. Weaver, The Mathematical Theory of Communication, Urbana: University of Illinois Press, 1964.
R.A. Machol, ed., Information and Decision Processes, New York: McGraw-Hill, 1960.
T. Berger, Rate Distortion Theory: A Mathematical Basis for Data Compression, Englewood Cliffs, NJ: Prentice-Hall, 1971.
N. S. Jayant and P. Noll, Digital Coding of Waveforms, Englewood Cliffs, NJ: Prentice-Hall, 1984.
R.G. Gallager, Information Theory and Reliable Communication, New York: Wiley, 1968.
D.C. Ghighia, “Space-Invariant Deblurring given N Independently Blurred Images of a Common Object,” J. Opt. Soc. Am. vol. Al, 1984, pp. 398–402.
A.K. Katsaggelos, “A Multiple Input Image Restoration Approach,” Journal of Visual Communication and Image Representation, vol.1, 1990, pp. 93–103.
S.P. Kim, N.K. Bose and H.M. Valenzuela, “Recursive Reconstruction of High Resolution Image from Noisy Undersampled Multiframes,” IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-38, 1990, pp. 1013–1027.
S.P. Kim and W. Su, “Recursive High-Resolution Reconstruction of Blurred Multiframe Images,” ICASSP ′91, Toronto, 1991, pp. 2877–2980.
R.Y. Tzai and T.S. Huang, “Multiframe Image Restoration and Registration,” in Advances in Computer Vision and Image Processing, vol.1, T.S. Huang, ed., Greenwich, CT: Jai Press, 1984, pp. 317–319.
N.P. Galatsanos and R.T. Chin, “Digital Restoration of Multichannel Images,” IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-37, 1989, pp. 415–421.
J.E. Dennis, Jr., and R.B. Schnabel, Numerical Methods for Unconstrained Optimization and Nonlinear Equation, Englewood Cliffs, NJ: Prentice-Hall, 1983.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1992 Springer Science+Business Media New York
About this chapter
Cite this chapter
Alter-Gartenberg, R., Fales, C.L., Huck, F.O., Rahman, ZU., Reichenbach, S.E. (1992). Multiresponse Imaging: Information and Fidelity. In: Sicuranza, G.L., Mitra, S.K. (eds) Multidimensional Processing of Video Signals. The Springer International Series in Engineering and Computer Science, vol 171. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3616-1_5
Download citation
DOI: https://doi.org/10.1007/978-1-4615-3616-1_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6607-2
Online ISBN: 978-1-4615-3616-1
eBook Packages: Springer Book Archive