Spectral methods for spatial resolution improvement of digital images

被引：3

作者：

Hao, PW ^{[1
]}

Xu, GH ^{[1
]}

Zhu, CG ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China

来源：

SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES | 1999年 / 42卷 / 04期

关键词：

spectral aliasing; spectral de-aliasing; spectral aliasing matrix (SAM); spatial resolution; spatial resolution improvement;

D O I：

10.1007/BF02916745

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A general matrix formula is proposed for signal spectral aliasing of various or mutual resolution, the concept of spectral aliasing matrix is introduced, and some general spectral methods for spatial resolution improvement from multiframes of undersampled digital images are discussed. A simplified iterative method of parallel row-action projection for spectral de-aliasing is also given. The method can be applied to multiframe images with various spatial resolution, relative displacement, dissimilar point spread function, different image radiance, and additive random noise. Some experiments with a resolution test pattern and an image of vertical fin performed the convergence and the effectiveness of the algorithms.

引用

页码：365 / 375

页数：11

共 11 条

[1]

Bose N.K., 1993, INT C AC SPEECH SIGN, V5, P269

[2] PARALLEL APPLICATION OF BLOCK-ITERATIVE METHODS IN MEDICAL IMAGING AND RADIATION-THERAPY [J].

CENSOR, Y .

MATHEMATICAL PROGRAMMING, 1988, 42 (02) :307-325

[3] Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images [J].

Elad, M ;

Feuer, A .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1997, 6 (12) :1646-1658

[4] Robust, object-based high-resolution image reconstruction from low-resolution video [J].

Eren, PE ;

Sezan, MI ;

Tekalp, AM .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1997, 6 (10) :1446-1451

[5] A general iterative method for spatial resolution improvement of digital images in spatial domain [J].

Hao, PW .

INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING, 1998, 3545 :224-227

[6] Recursive high-resolution reconstruction of blurred multiframe images [J].

Kim, S. P. ;

Su, Wen-Yu .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1993, 2 (04) :534-539

[7] RECURSIVE RECONSTRUCTION OF HIGH-RESOLUTION IMAGE FROM NOISY UNDERSAMPLED MULTIFRAMES [J].

KIM, SP ;

BOSE, NK ;

VALENZUELA, HM .

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1990, 38 (06) :1013-1027

[8]

Lawson C.L., 1974, SOLVING LEAST SQUARE

[9] Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time [J].

Patti, AJ ;

Sezan, MI ;

Tekalp, AM .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1997, 6 (08) :1064-1076

[10] Extraction of high-resolution frames from video sequences [J].

Schultz, RR ;

Stevenson, RL .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1996, 5 (06) :996-1011

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