Newton type optimization for maximum likelihood blur identification and restoration

被引：0
|
作者：
Sari, F [1 ]
机构：
[1] Informat Technol Res Inst Gebze, Sci & Tech Res Council Turkey, Kocaeli, Turkey
来源：
2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, we formulate the blur identification problem as a ML problem and solve by employing a Newton type optimization method based on "The Method of Scoring". We provide a comparative analysis of EM and Newton type optimization methods.
引用
收藏
页码：3716 / 3719
页数：2
相关论文
共 50 条
  • [1] Maximum likelihood based blur identification and restoration of multichannel images
    Al-Suwailem, UA
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS I AND II, 2001, : 784 - 789
  • [2] MAXIMUM-LIKELIHOOD BLUR IDENTIFICATION AND IMAGE-RESTORATION USING THE EM ALGORITHM
    KATSAGGELOS, AK
    LAY, KT
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1991, 39 (03) : 729 - 733
  • [3] MAXIMUM-LIKELIHOOD IMAGE AND BLUR IDENTIFICATION - A UNIFYING APPROACH
    LAGENDIJK, RL
    TEKALP, AM
    BIEMOND, J
    OPTICAL ENGINEERING, 1990, 29 (05) : 422 - 435
  • [4] Maximum likelihood parametric blur identification based on a continuous spatial domain model
    Pavlovic, Gordana
    Tekalp, A. Murat
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 1992, 1 (04) : 496 - 504
  • [5] Blurred image restoration using the type of blur and blur parameters identification on the neural network
    Aizenberg, I
    Butakoff, C
    Karnaukhov, V
    Merzlyakov, N
    Milukova, O
    IMAGE PROCESSING: ALGORITHMS AND SYSTEMS, 2002, 4667 : 460 - 471
  • [6] Maximum marginal likelihood estimation and constrained optimization in image restoration
    Tanaka, Kazuyuki
    Transactions of the Japanese Society for Artificial Intelligence, 2001, 16 (02) : 246 - 258
  • [7] Recursive algorithm for maximum likelihood-based identification of blur from multiple observations
    Indian Inst of Technology, Bombay, India
    IEEE Trans Image Process, 7 (1075-1079):
  • [8] A recursive algorithm for maximum likelihood-based identification of blur from multiple observations
    Rajagopalan, AN
    Chaudhuri, S
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 1998, 7 (07) : 1075 - 1079
  • [9] Type of blur and blur parameters identification using neural network and its application to image restoration
    Aizenberg, I
    Bregin, T
    Butakoff, C
    Karnaukhov, V
    Merzlyakov, N
    Milukova, O
    ARTIFICIAL NEURAL NETWORKS - ICANN 2002, 2002, 2415 : 1231 - 1236
  • [10] Maximum likelihood estimation of blur from multiple observations
    Rajagopalan, AN
    Chaudhuri, S
    1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS, 1997, : 2577 - 2580
12345