ON SOME BAYESIAN REGULARIZATION METHODS FOR IMAGE-RESTORATION

被引：49

作者：

ARCHER, G ^{[1
]}

TITTERINGTON, DM ^{[1
]}

机构：

[1] UNIV GLASGOW, DEPT STAT, GLASGOW G12 8QQ, LANARK, SCOTLAND

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1995年 / 4卷 / 07期

关键词：

D O I：

10.1109/83.392339

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Methods are reviewed for choosing regularized restorations in image processing. In particular, a method developed in [5] is given a Bayesian interpretation and is compared with other Bayesian and non-Bayesian alternatives. A small illustrative example is provided and a complement is provided for the discussion of noise variance estimation in [5].

引用

页码：989 / 995

页数：7

共 23 条

[1]

ANSLEY CF, 1990, 90021 AUSTR GRAD SCH

[2]

ARCHER GEB, 1993, 9310 U GLASG DEP STA

[3]

BUCKLEY MJ, 1988, BIOMETRIKA, V75, P189, DOI 10.1093/biomet/75.2.189

[4]

CARTER CK, 1992, J ROY STAT SOC B MET, V54, P773

[5] Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation [J].

Galatsanos, Nikolas P. ;

Katsaggelos, Aggelos K. .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1992, 1 (03) :322-336

[6]

GASSER T, 1986, BIOMETRIKA, V73, P625

[7]

GULL SF, 1989, FUND THEOR, V36, P53

[8]

HALL P, 1987, J ROY STAT SOC B MET, V49, P184

[9] ASYMPTOTICALLY OPTIMAL DIFFERENCE-BASED ESTIMATION OF VARIANCE IN NONPARAMETRIC REGRESSION [J].

HALL, P ;

KAY, JW ;

TITTERINGTON, DM .

BIOMETRIKA, 1990, 77 (03) :521-528

[10] ON ESTIMATION OF NOISE VARIANCE IN 2-DIMENSIONAL SIGNAL-PROCESSING [J].

HALL, P ;

KAY, JW ;

TITTERINGTON, DM .

ADVANCES IN APPLIED PROBABILITY, 1991, 23 (03) :476-495

← 1 2 3 →