Blur detection for digital images using wavelet transform

被引：146

作者：

Tong, HH ^{[1
]}

Li, MJ ^{[1
]}

Zhang, HJ ^{[1
]}

Zhang, CS ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China

来源：

2004 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXP (ICME), VOLS 1-3 | 2004年

关键词：

D O I：

10.1109/ICME.2004.1394114

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the prevalence of digital cameras, the number of digital images increases quickly, which raises the demand for image quality assessment in terms of blur. Based on the edge type and sharpness analysis using Harr wavelet transform, a new blur detection scheme is proposed in this paper, which can determine whether an image is blurred or not and to what extent an image is blurred. Experimental results demonstrate the effectiveness of the proposed scheme.

引用

页码：17 / 20

页数：4

共 10 条

[1]

LAGENDIJK RL, 2000, BASIC METHOD IMAGE R

[2] SINGULARITY DETECTION AND PROCESSING WITH WAVELETS [J].

MALLAT, S ;

HWANG, WL .

IEEE TRANSACTIONS ON INFORMATION THEORY, 1992, 38 (02) :617-643

[3]

MARICHAL X, P IEEE ICIP 99, P386

[4] Blur identification from vector quantizer encoder distortion [J].

Panchapakesan, K ;

Sheppard, DG ;

Marcellin, MW ;

Hunt, BR .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2001, 10 (03) :465-470

[5] Maximum likelihood parametric blur identification based on a continuous spatial domain model [J].

Pavlovic, Gordana ;

Tekalp, A. Murat .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1992, 1 (04) :496-504

[6]

ROOMS F, P RISC 2001, P568

[7]

SUN Y, P IEEE ICIP 96, P541

[8]

Tang YY, 1998, INT C PATT RECOG, P1572, DOI 10.1109/ICPR.1998.712011

[9] Characterization of Dirac-structure edges with wavelet transform [J].

Tang, YY ;

Yang, LH ;

Liu, JM .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2000, 30 (01) :93-109

[10]

TANG YY, 1999, 2 INT C MULT INT JAN, V7

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