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Lagrange time delay estimation for scanning electron microscope image magnification
Author(s) -
SIM K.S.,
THONG L.W.,
TING H.Y.,
TSO C.P.
Publication year - 2010
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/j.1365-2818.2009.03325.x
Subject(s) - magnification , interpolation (computer graphics) , computer science , image scaling , computer vision , image (mathematics) , artificial intelligence , sample (material) , filter (signal processing) , signal (programming language) , image processing , optics , algorithm , physics , thermodynamics , programming language
Summary Interpolation techniques that are used for image magnification to obtain more useful details of the surface such as morphology and mechanical contrast usually rely on the signal information distributed around edges and areas of sharp changes and these signal information can also be used to predict missing details from the sample image. However, many of these interpolation methods tend to smooth or blur out image details around the edges. In the present study, a Lagrange time delay estimation interpolator method is proposed and this method only requires a small filter order and has no noticeable estimation bias. Comparing results with the original scanning electron microscope magnification and results of various other interpolation methods, the Lagrange time delay estimation interpolator is found to be more efficient, more robust and easier to execute.