Grid adaptive interpolation filters

A general framework for image interpolation in a uniformly spaced image grid is presented. The proposed formulation is suitable for representing fractional (or sub‐pixel) pixels as well as integer pixel interpolations. Also, by fitting an interpolation kernel to the grid formulation, finite impulse...

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Bibliographic Details
Published in:Electronics letters 2013-01, Vol.49 (3), p.181-182
Main Author: Won, Chee Sun
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
finite impulse response filter coefficients
four‐tap lowpass filter
fractional pixel representation
fractional sub‐pixel representation
grid adaptive interpolation filters
grid formulation
image interpolation
image representation
image sampling
integer pixel interpolations
integer pixel locations
interpolation
Lagrange interpolation kernel
low‐pass filters
Pattern recognition. Digital image processing. Computational geometry
sampling interval
transient response
uniformly spaced image grid
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Description
Summary:A general framework for image interpolation in a uniformly spaced image grid is presented. The proposed formulation is suitable for representing fractional (or sub‐pixel) pixels as well as integer pixel interpolations. Also, by fitting an interpolation kernel to the grid formulation, finite impulse response filter coefficients can be readily determined for a given sampling interval and filter length. As an example, a four‐tap lowpass filter is derived by fitting the Lagrange interpolation kernel to a row (or column) expansion by 2 on integer pixel locations.
ISSN:1350-911X
0013-5194
1350-911X
DOI:10.1049/el.2012.2481