Читать в оригинале

<< ПредыдущаяОглавлениеСледующая >>


1.  Sondhi М. М., Image Restoration: The Removal of Spatially Invariant Degradations, Proc. IEEE, 60, 7, 842-853 (July 1972). [Имеется перевод: Сондхи. Реставрация изображения: устранение пространственно-инвариантных искажений. - ТИИЭР, 1972, т. 60, №7, с. 108-123.]

2.  Andrews Н. С., Digital Image Restoration: A Survey, IEEE Computer, 7, 5, 36-45 (May 1974).

3.  Hunt B. R., Digital Image Processing, Proc. IEEE, 63, 4, 693-708 (April 1975). [Имеется перевод: Хант. Цифровая обработка изображений. - ТИИЭР, 1975, т. 63, с. 177-195.]

4.  Andrews Н. С., Hunt В. R., Digital Image Restoration, Prentice-Hall, Engle - wood Cliffs, N. J., 1977.

5.  Frieden B. R., Image Enhancement and Restoration, in: Picture Processing and Digital Filtering, Huang T. S., Ed., Springer-Verlag, New York, 1975. [Имеется перевод: Фриден Б. Улучшение и реставрация изображения. В кн.: Обработка изображений и цифровая фильтрация. [Под ред. Т. Хуан- га. - М.: Мир, 1979.]

6.  Merechal А., Сгосе P., Dietzel К., Amelioration du Contrast des Details des Images Photographiques par Filtrage des Frequencies Spatiales, Opta Acta, 5, 256-262 (1958).

7.  Tsujiuchi J., Correction of Optical Images by Compensation of Aberrations and by Spatial Frequency Filtering, in: Progress in Optics, Vol. 2, Wolf E., Ed., Wiley, New York, 1963, pp. 131-180.

8.  Harris J. L., Sr., Image Evaluation and Restoration, J. Opt. Soc. Am., 56, 5, 569-574 (May 1966).

9.  McGlamery B. L., Restoration of Turbulence-Degraded Images, J. Opt. Soc. Am., 57, 3, 293-297 (March 1967).

10.  Mueller P. F., Reynolds G. O., Image Restoration by Removal of Random Media Degradations, J. Opt. Soc. Am., 57, 11, 1338-1344 (November 1967).

11.  Helstrom C. W., Image Restoration by the Method of Least Squares, J. Opt. Soc. Am., 57, 3, 297-303 (March 1967).

12.  Harris J. L., Sr., Potential and Limitations of Techniques for Processing Linear Motion-Degraded Imagery, in: Evaluation of Motion Degraded Images, U.S. Government Printing Office, Washington D. C., 1968, pp. 131-138.

13.  Horner J. L., Optical Spatial Filtering with the Least-Mean-Square-Error Filter, J. Opt. Soc. Am., 61. 5, 553-558 (May 1969).

14.  Horner J. L., Optical Restoration of Images Blurred by Atmospheric Turbulence Using Optimum Filter Theory, Appl. Opt., 9, 1, 167-171 (January 1970).

15.  Lewis B. L., Sakrison D. J., Computer Enhancement of Scanning Electron Micrographs, IEEE Trans. Circuits and Systems, CAS-22, 3, 267-278 (March 1975).

16.  Slepian D., Restoration of Photographs Blurred by Image Motion, Bell Sust. Tech. J., XLVI, 10, 2353-2362 (December 1967).

17.  Cole E. R., The Removal of Unknown Image Blurs by Homomorphic Filtering, Ph. D. Dissertation, Department of Electrical Engineering, University of Utah, Salt Lake City, June 1973.

18.  Hunt B. R., The Application of Constrained Least Squares Estimation to Image Restoration by Digital Computer, IEEE Trans. Computers, C-23, 9, 805-812 (September 1973).

19.  Mascarenhas N. D. A., Pratt W. K.', Digital Image Restoration Under a Regression Model, IEEE Trans. Circuits and Systems, CAS-22, 3, 252-266 (March 1975).

20.  Pratt W. K., Davarian F., Fast Computational Techniques for Pseudoinverse and Wiener Image Restoration, IEEE Trans. Computers, C-26, 6, 571-580 (June 1977).

21.  Pratt W. K., Pseudoinverse Image Restoration Computational Algorithms, in: Optical Information Processing, Vol. II, Stroke G. W., Nesterikhin Y., Barrekette E. S., Eds., Plenum Press, New York, 1977.

22.  Rust B. W., Burrus W. R., Mathematical Programming and the Numerical Solution of Linear Equations, American Elsevier, New York, 1972.

23.  Albert A., Regression and the Moore-Penrose Pseudoinverse, Academic Press, New York, 1972.

24.  Andrews H. C., Patterson C. L., Outer Product Expansions and Their Uses in Digital Image Processing, Am. Math. Monthly, 1, 82, 1-13 (January 1975).

25.  Andrews H. C., Patterson C. L., Outer Product Expansions and Their Uses in Digital Image Processing, IEEE Trans. Computers, C-26, 2, 140-148 (February 1976).

26.  Huang T. S., Narendra P. M., Image Restoration by Singular Value Decomposition, Appl. Opt., 14, 9, 2213-2216 (September 1975).

27.  Andrews H. C.,. Patterson C. L., Singular Value Decompositions and Digital Image Processing, IEEE Trans. Acoustics, Speeeh, and Signal Processing, ASSP-24, 1, 26-53 (February 1976).

28.  Lewis Т. O., Odell P. L., Estimation in Linear Models, Prentice Hall, Engle- wood Cliffs, N. J., 1971.

29.  Pratt W. K.. Generalized Wiener Filter Computation Techniques, IEEE Trans. Computers, C-21, 7, 636-641 (July 1972).

30.  Papoulis A., Probability Random Variables and Stochastic Processes, McGraw- Hill, New York, 1965.

31.  Twomey S., On the Numerical Solution of Fredholm Integral Equations of the First Kind by the Inversion of the Linear System Produced by Quadrature, J. Assoc. Computing Machinery, 10, 97-101 (1963).

32.  Phillips D. L., A Technique for the Numerical Solution of Certain Integral Equations of the First Kind, J. Assoc. Computing Machinery, 9, 84-97 (1964).

33.  Tikonow A. N., Regularization of Incorrectly Posed Problems, Soviet Mathematics, 4, 6, 1624-1627 (1963).

34.  Barrett E. В., Devich R. N., Linear Programming Compensation for Space- Variant Image Degradation, Processing SPIE/OSA Conference on Image Processing, Urbach J. C., F.d., Pacific Grove, California, February 1976, Vol. 74, pp. 152-158.

35.  MacAdam D. P., Digital Image Restoration by Constrained Deconvolution. J. Opt. Soc. Am., 60, 12, 1617-1627 (December 1970).

36.  Burg J. P., Maximum Entropy Spectral Analysis, 37th Annual Society of Exploration Geophysicists Meeting, Oklahoma City, 1967.

37.  Edward J. A., Fitelson M. M., Notes on Maximum Entropy Processing, IEEE Trans. Inf. Theory, IT-19, 2, 232-234 (March 1973).

38.  Frieden B. R., Restoring with Maximum Likelihood and Maximum Entropy, J. Opt. Soc. Am., 62, 4, 511-518 (April 1972).

39.  Frieden B. R., Maximum Entropy Restorations of Garrymede, in: Proceedings SPIE/OSA Conference on Image Processing, Urbach J. C., Ed., Pacific Grove, California, February 1976, Vol. 74, pp. 160-165.

40.  Jansson P. A., Hunt R. H., Peyler E. K., Resolution Enhancement of Spectra. J. Opt. Soc. Am., 60, 5, 596-599 (May 1970).

41.  Van Cittert P. H., Zun einflusz der Spaltbreite auf die Intensitatsverteilung in spektrallinien-Part II, 7. Physik, 69, 298-308 (1931).

42.  Huang T. S., Baker D. S., Berger S. P., Iterative Image Restoration, Appl. Opt., 14, 5, 1165-1168 (May 1975).

43.  Huang T. S., Restoring Images with §hift-Varying Degradations, Proceedings SPIE/OSA Conference on Image Processing, Urbach J. C., Ed., Pacific Grove, California, February 1976, Vol. 74, pp. 149-151.

44.  Helstrom C. W., Statistical Theory of Signal Detection, Pergamon Press, New York, I960. [Имеется перевод: Хелстром К., Статистическая теория обнаружения сигналов. - М.: ИЛ, 1963.]

45.  Middleton D., An Introduction to Statistical Communication Theory, McGraw- Hill, New York, 1960. [Имеется перевод: Миддлтон Д., Введение в статистическую теорию связи. - М.: Советское радио, т. 1, 1961, т. 2, 1962.]

46.  Deutsch R., Estimation Theory, Prentice-Hall, Englewood Cliffs, N. J., 1965.

47.  Van Trees H. L., Detection, Estimation, and Modulation Theory, Vol. 1, Wiley, New York, 1968. [Имеется перевод: Ван Трис Г., Теория обнаружения, оценок и модуляции. т. 1. Теория обнаружения, оценок и линейной модуляции. - М.: Советское радио, 1972.]

48.  Nahi N. Е., Estimation Theory and Applications, Wiley, New York, 1969.

49.  Naraghi M., An Algorithmic Image Estimation Method Applicable to Nonlinear Observations, University of Southern- California, Image Processing Institute, USCIP1 Report 580, 1975.


<< ПредыдущаяОглавлениеСледующая >>