Blind deconvolution method

被引：0
|
作者：
Makowski, R.
机构：
来源：
Signal Processing - Theories and Applications | 1990年
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Iterative method for blind deconvolution
    Rabie, Tamer F.
    Paranjape, Raman B.
    Rangayyan, Rangaraj M.
    Journal of Electronic Imaging, 1994, 3 (03): : 245 - 250
  • [2] A blind deconvolution method in a LCSM system
    Huang, L
    Tao, CK
    Hu, MH
    2ND INTERNATIONAL CONFERENCE ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: ADVANCED OPTICAL MANUFACTURING TECHNOLOGIES, 2006, 6149
  • [3] A robust blind deconvolution method for noisy images
    Razaz, M
    Nicholson, S
    PROCEEDINGS OF THE IEEE-EURASIP WORKSHOP ON NONLINEAR SIGNAL AND IMAGE PROCESSING (NSIP'99), 1999, : 442 - 446
  • [4] ITERATIVE BLIND DECONVOLUTION METHOD AND ITS APPLICATIONS
    AYERS, GR
    DAINTY, JC
    OPTICS LETTERS, 1988, 13 (07) : 547 - 549
  • [5] Extensions of the Justen–Ramlau blind deconvolution method
    Tristan A. Hearn
    Lothar Reichel
    Advances in Computational Mathematics, 2013, 39 : 465 - 491
  • [6] Blind image deconvolution by the method of convex projections
    Thanthai Periyar Government Institute of Technology, Vellore 632 002, Tamil Nadu, India
    不详
    J Inst Eng India Part CP, 2009, NOV. (26-29):
  • [7] A variational method for Bayesian blind image deconvolution
    Likas, A
    Galatsanos, NP
    2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 2, PROCEEDINGS, 2003, : 973 - 976
  • [8] Blind deconvolution using the relative Newton method
    Bronstein, AM
    Bronstein, MM
    Zibulevsky, M
    INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION, 2004, 3195 : 554 - 561
  • [9] Constrained variable projection method for blind deconvolution
    Cornelio, A.
    Piccolomini, E. Loli
    Nagy, J. G.
    2ND INTERNATIONAL WORKSHOP ON NEW COMPUTATIONAL METHODS FOR INVERSE PROBLEMS (NCMIP 2012), 2012, 386
  • [10] A novel blind deconvolution method via Maximum Entropy
    Pinchas, Monika
    Bobrovsky, Ben Zion
    2005 IEEE/SP 13th Workshop on Statistical Signal Processing (SSP), Vols 1 and 2, 2005, : 317 - 322
12345