Systematic approach to two-dimensional blind deconvolution by zero-sheet separation

Journal Article · Sat May 01 04:00:00 EDT 1993 · Journal of the Optical Society of America, Part A: Optics and Image Science; (United States)

DOI:https://doi.org/10.1364/JOSAA.10.001024· OSTI ID:6236706

Ghiglia, D C; Romero, L A; Mastin, G A ^[1]

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1. Sandia National Laboratories, Albuquerque, NM (United States)

Inspired by the work of Lane and Bates on automatic multidimensional deconvolution [J. Opt. Soc. Am. A 4, 180 (1987)], the authors have developed a systematic approach and an operational code for performing the deconvolution of multiply-convolved two-dimensional complex data sets in the absence of noise. The authors explain, in some detail, the major algorithmic steps where noise or numerical errors can cause problems, the approach in dealing with numerical rounding errors, and where special noise-mitigating techniques can be used toward making blind deconvolution practical. Several examples of deconvolved imagery are presented, and future research directions are noted. 9 refs., 9 figs.

• DOE Contract Number: AC04-76DP00789
• OSTI ID: 6236706
• Journal Information: Journal of the Optical Society of America, Part A: Optics and Image Science; (United States), Journal Name: Journal of the Optical Society of America, Part A: Optics and Image Science; (United States) Vol. 10:5; ISSN 0740-3232; ISSN JOAOD6
• Country of Publication: United States
• Language: English

Related Subjects

661300* -- Other Aspects of Physical Science-- (1992-)
71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ALGORITHMS
DATA PROCESSING
FOURIER TRANSFORMATION
IMAGE PROCESSING
IMAGES
INFORMATION THEORY
INTEGRAL TRANSFORMATIONS
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
NOISE
PROCESSING
TRANSFORMATIONS
TWO-DIMENSIONAL CALCULATIONS