메뉴 건너뛰기




Volumn 40, Issue 5, 1992, Pages 1143-1150

Deblurring subject to nonnegativity constraints

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL TECHNIQUES - CONVERGENCE OF NUMERICAL METHODS; MATHEMATICAL TECHNIQUES - INTEGRAL EQUATIONS; MATHEMATICAL TECHNIQUES - ITERATIVE METHODS; OPTIMIZATION; PROBABILITY - RANDOM PROCESSES;

EID: 0026858978     PISSN: 1053587X     EISSN: 19410476     Source Type: Journal    
DOI: 10.1109/78.134477     Document Type: Article
Times cited : (212)

References (26)
  • 1
    • 0025386143 scopus 로고
    • Dilute aperture diffraction imagery and object reconstruction
    • Feb
    • R. Barakat, “Dilute aperture diffraction imagery and object reconstruction,” Opt. Eng., vol. 29, pp. 131–139, Feb. 1990.
    • (1990) Opt. Eng. , vol.29 , pp. 131-139
    • Barakat, R.1
  • 2
    • 0025530139 scopus 로고
    • An axiomatic approach to certain inverse problems
    • July
    • C. L. Byrne and L. K. Jones, “An axiomatic approach to certain inverse problems,” Proc. SPIE Int. Soc. Opt. Eng., vol. 1351, pp. 50–55, July 1990.
    • (1990) Proc. SPIE Int. Soc. Opt. Eng. , vol.1351 , pp. 50-55
    • Byrne, C.L.1    Jones, L.K.2
  • 3
    • 0021393382 scopus 로고
    • An algorithm for maximizing expected log investment return
    • Mar
    • T. M. Cover, “An algorithm for maximizing expected log investment return,” IEEE Trans. Inform. Theory, vol. IT-30, pp. 369–373, Mar. 1984.
    • (1984) IEEE Trans. Inform. Theory , vol.IT-30 , pp. 369-373
    • Cover, T.M.1
  • 4
    • 0001731697 scopus 로고
    • Why least squares and maximum entropy?—an axiomatic approach to inverse problems
    • Dec
    • I. Csiszar, “Why least squares and maximum entropy?—an axiomatic approach to inverse problems,” Ann. Stat., vol. 19, pp. 2033–2066, Dec. 1991.
    • (1991) Ann. Stat. , vol.19 , pp. 2033-2066
    • Csiszar, I.1
  • 5
    • 0025209334 scopus 로고
    • General entropy criteria for inverse problems, with applications to data compression, pattern classification and cluster analysis
    • Jan
    • L. K. Jones and C. L. Byrne, “General entropy criteria for inverse problems, with applications to data compression, pattern classification and cluster analysis,” IEEE Trans. Inform. Theory, vol. 36, pp. 23-30.Jan. 1990.
    • (1990) IEEE Trans. Inform. Theory , vol.36 , pp. 23-30
    • Jones, L.K.1    Byrne, C.L.2
  • 6
    • 0011774567 scopus 로고
    • A descent approach to a class of inverse problems
    • P. S. Krishnaprasad and R. Barakat, “A descent approach to a class of inverse problems,” J. Comput. Phys., vol. 24, 339–347, 1977.
    • (1977) J. Comput. Phys. , vol.24 , pp. 339-347
    • Krishnaprasad, P.S.1    Barakat, R.2
  • 7
    • 0021327145 scopus 로고
    • EM reconstruction algorithms for emission and transmission tomography
    • Apr
    • K. Lange and R. Carson, “EM reconstruction algorithms for emission and transmission tomography,” J. Comput. Assisted Tomography, vol. 8. pp. 306–316, Apr. 1984.
    • (1984) J. Comput. Assisted Tomography , vol.8 , pp. 306-316
    • Lange, K.1    Carson, R.2
  • 9
    • 0001050714 scopus 로고
    • An iterative technique for the rectification of observed distributions
    • June
    • L. B. Lucy, “An iterative technique for the rectification of observed distributions,” Astronom. J. 79, pp. 745–754, June 1974.
    • (1963) Astronom. J. , pp. 745-754
    • Lucy, L.B.1
  • 11
    • 0023383312 scopus 로고
    • The role of likelihood and entropy in incomplete-data problems: Application to estimating point-process intensities and Toeplitz constrained covariances
    • July
    • M. I. Miller and D. L. Snyder, “The role of likelihood and entropy in incomplete-data problems: Application to estimating point-process intensities and Toeplitz constrained covariances,” Proc. IEEE, vol. 75, pp. 892–907. July 1987.
    • (1987) Proc. IEEE , vol.75 , pp. 892-907
    • Miller, M.I.1    Snyder, D.L.2
  • 12
    • 0002594849 scopus 로고
    • Bayesian-based iterative method of image restoration
    • Jan
    • W. H. Richardson, “Bayesian-based iterative method of image restoration,” J. Opt. Soc. Amer., vol. 62, pp. 55–59, Jan. 1972.
    • (1972) J. Opt. Soc. Amer. , vol.62 , pp. 55-59
    • Richardson, W.H.1
  • 13
    • 0006547483 scopus 로고
    • Signal restoration, functional analysis, and Fredholm integral equations of the first kind
    • H. Stark, Ed. New York: Academic
    • C. K. Rushforth, “Signal restoration, functional analysis, and Fredholm integral equations of the first kind,” in Image Recovery, Theory, and Applications, H. Stark, Ed. New York: Academic, 1987.
    • (1987) Image Recovery, Theory, and Applications
    • Rushforth, C.K.1
  • 15
    • 0020194763 scopus 로고
    • Maximum-likelihood reconstruction for emission tomography
    • L. A. Shepp and Y. Vardi, “Maximum-likelihood reconstruction for emission tomography,” IEEE Trans. Med. Imaging, vol. MI-1, pp. 113–121, 1982.
    • (1982) IEEE Trans. Med. Imaging , vol.MI-1 , pp. 113-121
    • Shepp, L.A.1    Vardi, Y.2
  • 16
    • 84941499595 scopus 로고
    • New insights into emission tomography via linear programming
    • presented at the NATO Adv Sept. Portugal
    • L. A. Shepp and R. J. Vanderbei, “New insights into emission tomography via linear programming,” presented at the NATO Adv. Study Inst. Formation, Handling, Evaluation Med. Images, Portugal, Sept. 12–13, 1988.
    • (1988) Study Inst. Formation, Handling, Evaluation Med. Images , pp. 12-13
    • Shepp, L.A.1    Vanderbei, R.J.2
  • 17
    • 0018877134 scopus 로고
    • Axiomatic derivation of the principle of maximum entropy and the principle of minimum-cross entropy
    • corrections in
    • J. E. Shore and R. W. Johnson, “Axiomatic derivation of the principle of maximum entropy and the principle of minimum-cross entropy,” IEEE Trans. Inform. Theory, vol. IT-26, pp. 26–37, 1980; corrections in vol. IT-26, pp. 942–943, 1983.
    • (1980) IEEE Trans. Inform. Theory , vol.IT-26 , pp. 26-943
    • Shore, J.E.1    Johnson, R.W.2
  • 18
    • 0020761641 scopus 로고
    • Image reconstruction from list-mode data in an emission tomography system having time-of-flight measurements
    • D. L. Snyder and D. G. Politte, “Image reconstruction from list-mode data in an emission tomography system having time-of-flight measurements,” IEEE Trans. Nuclear Sci., vol. NS-30, pp. 1843–1849, 1983.
    • (1983) IEEE Trans. Nuclear Sci. , vol.NS-30 , pp. 1843-1849
    • Snyder, D.L.1    Politte, D.G.2
  • 19
    • 0023422273 scopus 로고
    • Noise and edge artifacts in maximum-likelihood reconstructions for emission tomography
    • Sept
    • D. L. Snyder, M. I. Miller, L. J. Thomas, Jr., and D. G. Politte, “Noise and edge artifacts in maximum-likelihood reconstructions for emission tomography.” IEEE Trans. Med. Imaging, vol. MI-6, pp. 228–238. Sept. 1987.
    • (1987) IEEE Trans. Med. Imaging , vol.MI-6 , pp. 228-238
    • Snyder, D.L.1    Miller, M.I.2    Thomas, L.J.3    Politte, D.G.4
  • 20
    • 84944986782 scopus 로고
    • Systolic implementation of the EM algorithm for emission tomography on mesh-connected architectures
    • in (Princeton Univ., Princeton, NJ), Mar. Princeton
    • A. McCarthy, R. Barrett, and M. I. Miller, “Systolic implementation of the EM algorithm for emission tomography on mesh-connected architectures,” in Proc. 1988 Conf. Inform. Sci. Syst. (Princeton Univ., Princeton, NJ), Mar. 1988, pp. 702–707.
    • (1988) Proc. 1988 Conf. Inform. Sci. Syst , pp. 702-707
    • McCarthy, A.1    Barrett, R.2    Miller, M.I.3
  • 21
    • 0024668199 scopus 로고
    • The use of maximum likelihood estimation for forming images of diffuse radar targets from delay-Doppler data
    • May
    • D. L. Snyder, J. A. O’Sullivan, and M. I. Miller, “The use of maximum likelihood estimation for forming images of diffuse radar targets from delay-Doppler data,” IEEE Trans. Inform. Theory, vol. 35. pp. 536–548. May 1989.
    • (1989) IEEE Trans. Inform. Theory , vol.35 , pp. 536-548
    • Snyder, D.L.1    O'Sullivan, J.A.2    Miller, M.I.3
  • 23
    • 0010293907 scopus 로고
    • A statistical model for positron emission tomography
    • Mar
    • Y. Vardi, L. A. Shepp, and L. Kaufmann, “A statistical model for positron emission tomography,” J. Amer. Stat. Soc., vol. 80, pp. 8–35, Mar. 1985.
    • (1985) J. Amer. Stat. Soc. , vol.80 , pp. 8-35
    • Vardi, Y.1    Shepp, L.A.2    Kaufmann, L.3
  • 24
    • 0025899893 scopus 로고
    • On the convergence of the estimated posterior density weighted algorithm
    • Jan
    • L. B. White, “On the convergence of the estimated posterior density weighted algorithm,” IEEE Trans. Signal Processing, vol. 39, pp. 254–255, Jan. 1991.
    • (1991) IEEE Trans. Signal Processing , vol.39 , pp. 254-255
    • White, L.B.1
  • 25
    • 0002605032 scopus 로고
    • Mathematical theory of image restoration by the method of convex projections
    • H. Stark, Ed. New York: Academic
    • D. C. Youla, “Mathematical theory of image restoration by the method of convex projections,” in Image Recovery, Theory, and Applications, H. Stark, Ed. New York: Academic, 1987, ch. 2.
    • (1987) Image Recovery, Theory, and Applications
    • Youla, D.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.