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Multiresponse Imaging: Information and Fidelity

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Multidimensional Processing of Video Signals

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.

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References

  1. W.E Schreiber, Fundamentals of Electronic Imaging Systems, Berlin: Springer-Verlag, 1986.

    Book  Google Scholar 

  2. 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.

    Article  Google Scholar 

  3. 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.

    Google Scholar 

  4. 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.

    Article  Google Scholar 

  5. 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.

    Google Scholar 

  6. C.L. Fales and F.O. Huck, “An Information Theory of Image Gathering,” Information Sciences, vol. 57-58, 1991, pp. 245–285.

    Article  MathSciNet  Google Scholar 

  7. R.C. Gonzalez and P. Wintz, Digital Image Processing, Reading, MA: Addison-Wesley, 1977.

    MATH  Google Scholar 

  8. H.C. Andrews and B.R. Hunt, Digital Image Restoration, Englewood Cliffs, NJ: Prentice-Hall, 1977.

    Google Scholar 

  9. T.S. Huang, ed., Picture Processing and Digital Filtering, Berlin: Springer-Verlag, 1979.

    MATH  Google Scholar 

  10. C.E. Shannon and W. Weaver, The Mathematical Theory of Communication, Urbana: University of Illinois Press, 1964.

    Google Scholar 

  11. R.A. Machol, ed., Information and Decision Processes, New York: McGraw-Hill, 1960.

    MATH  Google Scholar 

  12. T. Berger, Rate Distortion Theory: A Mathematical Basis for Data Compression, Englewood Cliffs, NJ: Prentice-Hall, 1971.

    Google Scholar 

  13. N. S. Jayant and P. Noll, Digital Coding of Waveforms, Englewood Cliffs, NJ: Prentice-Hall, 1984.

    Google Scholar 

  14. R.G. Gallager, Information Theory and Reliable Communication, New York: Wiley, 1968.

    MATH  Google Scholar 

  15. 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.

    Article  Google Scholar 

  16. A.K. Katsaggelos, “A Multiple Input Image Restoration Approach,” Journal of Visual Communication and Image Representation, vol.1, 1990, pp. 93–103.

    Article  Google Scholar 

  17. 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.

    Article  Google Scholar 

  18. S.P. Kim and W. Su, “Recursive High-Resolution Reconstruction of Blurred Multiframe Images,” ICASSP ′91, Toronto, 1991, pp. 2877–2980.

    Google Scholar 

  19. 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.

    Google Scholar 

  20. 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.

    Article  Google Scholar 

  21. J.E. Dennis, Jr., and R.B. Schnabel, Numerical Methods for Unconstrained Optimization and Nonlinear Equation, Englewood Cliffs, NJ: Prentice-Hall, 1983.

    Google Scholar 

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© 1992 Springer Science+Business Media New York

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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

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  • 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

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