Blind Deconvolution Of Spatially Invariant Image Blurs With Phase

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 24, Issue 1, 1976, Pages 58-63

  Cannon, Michael ^a  

^a UNIVERSITY OF UTAH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ANALYSIS; COMPUTER ASSISTED TOMOGRAPHY; IMAGE PROCESSING; METHODOLOGY; THEORETICAL STUDY;

IMAGE PROCESSING;

EID: 0017097210     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASSP.1976.1162770     Document Type: Article

References (13)

1. D. Slepian, “Restoration of photographs blurred by image motion,” Bell Syst. Tech. J., vol. 46, pp. 2353-2362, Dec. 1967.
2. M. M. Sondhi, “Image restoration: The removal of spatially invariant degradations,” Proc. IEEE ‘Special Issue on Digital Picture Processing’, vol. 60, pp. 842-853, July 1972.
3. B. Bogart, M. Healy, and J. Tukey, “The quefrency analysis of time series for echoes,” in Proc. Symp. Time Series Analysis, M.Rosenblatt., Ed. New York: Wiley, 1963, ch. 15.
4. R. Rom, “On the cepstrum of two-dimensional functions,” IEEE Trans. Inform. Theory, vol. IT-21, pp. 214-217, Mar. 1975.
5. P. D. Welch, “The use of the fast Fourier transform for the estimation of power spectra,” IEEE Trans. Audio Electroacoust. ‘Special Issue on Fast Fourier Transform and its Application to Digital Filtering and Spectral Analysis’, vol. AU-15, pp. 70-73, June 1967.
6. C. W. Helstrom, “Image restoration by the method of least squares,” J. Opt. Soc. Amer., vol. 57, pp. 297-303, Mar. 1967.
7. T. G. Stockham, Jr., T. M. Cannon, and R. B. Ingebretsen, “Blind deconvolution through digital signal processing,” Proc. IEEE ‘Special Issue on Digital Signal Processing’, vol. 63,pp. 678-692, Apr. 1975.
8. E. R. Cole, “The removal of unknown image blurs by homomorphic filtering,” Dep. Comput. Sci., Univ. Utah, Salt Lake City, ARPA Tech. Rep. UTEC-CSc-74-029,1974.
9. H. D. Helms, “Nonrecursive digital filters: Design methods for achieving specifications on frequency response,” IEEE Trans. Audio Electroacoust. ‘Special Issue on Digital Filters: The Promise of LSI to Signal Processing’, vol. AU-16, pp. 336-342, Sept. 1968.
10. W. Lukosz, “Uebertragung Nicht-negativer Signale durch Lineare Filter,” Opt. Acta, vol. 9, pp. 335-364, 1962.
11. T. M. Cannon, “Digital image deblurring by nonlinear horhomor- phic filtering,” Dep. Comput. Sci., Univ. Utah, Salt Lake City, ARPA Tech. Rep. UTEC-CSc-74-091, 1974.
12. T. G. Stockham, Jr., “Image processing in the context of a visual model,” Proc. IEEE ‘Special Issue on Digital Picture Processing’, vol. 60, pp. 828-842, July 1972.
13. H. C. Andrews, “Outer product expansions and their uses in digital image processing,” Amer. Math. Mon., vol. 1, no. 82, pp. 1-13, Jan. 1975.