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Image magnification using families of fast orthogonal transforms
Author(s) -
Koltracht I.,
Madych W. R.,
Marinelli K.
Publication year - 1996
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/(sici)1098-1098(199623)7:3<170::aid-ima3>3.0.co;2-5
Subject(s) - magnification , sketch , image (mathematics) , computer science , wavelet , algorithm , parametric statistics , orthogonal wavelet , multiresolution analysis , component (thermodynamics) , artificial intelligence , computer vision , wavelet transform , mathematics , discrete wavelet transform , statistics , physics , thermodynamics
Abstract We outline a method if image magnification based on parametric families of fast orthogonal transforms which arise from the multiresolution/wavelet paradigm of Mallat and Meyer. The essential idea is to consider the original image as a low‐frequency component of a family of potential enlargements, all of which are computable in real time. We sketch the underlying theory and pertinent algorithms. Several specific examples are detailed. © 1996 John Wiley & Sons, Inc.