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@ARTICLE{Pflugfelder:874924,
author = {Pflugfelder, Daniel and Scharr, Hanno},
title = {{P}ractically {L}ossless {A}ffine {I}mage {T}ransformation},
journal = {IEEE transactions on image processing},
volume = {29},
issn = {1941-0042},
address = {New York, NY},
publisher = {IEEE},
reportid = {FZJ-2020-01708},
pages = {5367 - 5373},
year = {2020},
abstract = {In this contribution we introduce an almost lossless affine
2D image transformation method. To this end we extend the
theory of the well-known Chirp-z transform to allow for
fully affine transformation of general n-dimensional images.
In addition we give a practical spatial and spectral
zero-padding approach dramatically reducing losses of our
transform, where usual transforms introduce blurring
artifacts due to sub-optimal interpolation. The proposed
method improves the mean squared error by approx. a factor
of 1800 compared to the commonly used linear interpolation,
and by a factor of 250 to the best competitor. We derive the
transform from basic principles with special attention to
implementation details and supplement this paper with python
code for 2D images. In demonstration experiments we show the
superior image quality compared to usual approaches, when
using our method. However runtimes are considerably larger
than when using toolbox algorithms.},
cin = {IBG-2},
ddc = {620},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {582 - Plant Science (POF3-582) / DPPN - Deutsches Pflanzen
Phänotypisierungsnetzwerk (BMBF-031A053A)},
pid = {G:(DE-HGF)POF3-582 / G:(DE-Juel1)BMBF-031A053A},
typ = {PUB:(DE-HGF)16},
pubmed = {32224458},
UT = {WOS:000561102200004},
doi = {10.1109/TIP.2020.2982260},
url = {https://juser.fz-juelich.de/record/874924},
}