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Low discrepancy holographic image sampling
Author(s) -
Bruckstein Alfred M.,
Holt Robert J.,
Netravali Arun N.
Publication year - 2005
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20051
Subject(s) - planar , image (mathematics) , cover (algebra) , sampling (signal processing) , holography , plane (geometry) , set (abstract data type) , computer science , domain (mathematical analysis) , artificial intelligence , mathematics , computer vision , algorithm , optics , geometry , physics , computer graphics (images) , mathematical analysis , mechanical engineering , filter (signal processing) , engineering , programming language
Self‐similar progressive image sampling schemes that have been recently proposed for holographic image representations are shown to generate two‐dimensional low discrepancy sequences. The discrepancy of a planar set of points is a measure of the uniformity of their placement in the plane. Sequences, or planar sets of points with low discrepancy, cover the image domain as uniformly as possible. © 2005 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 15, 155–167, 2005