Publication detail
Accelerated Image Resampling for Geometry Correction
ZEMČÍK, P. PŘIBYL, B. HEROUT, A. SEEMAN, M.
Original Title
Accelerated Image Resampling for Geometry Correction
English Title
Accelerated Image Resampling for Geometry Correction
Type
journal article in Web of Science
Language
en
Original Abstract
This paper introduces a fast algorithm intended for corrections of image distortions caused by lenses or similar devices in real time. Not only the algorithm itself is introduced, but also the paper focuses on its acceleration with the focus on programmable hardware. The presented algorithm is designed to correct small geometrical distortions, where the displacement of the location is only few pixels. However, the resampling is done with high sub-pixel precision. Description of the geometry of the distortions is done through a square or rectangular mesh, where simple bilinear interpolation within each node is exploited to calculate sub-pixel location of the samples. The paper describes the algorithm, its features, specifics the important for implementation, data formats, implementation in field programmable gate arrays, and summarizes the achieved results.
English abstract
This paper introduces a fast algorithm intended for corrections of image distortions caused by lenses or similar devices in real time. Not only the algorithm itself is introduced, but also the paper focuses on its acceleration with the focus on programmable hardware. The presented algorithm is designed to correct small geometrical distortions, where the displacement of the location is only few pixels. However, the resampling is done with high sub-pixel precision. Description of the geometry of the distortions is done through a square or rectangular mesh, where simple bilinear interpolation within each node is exploited to calculate sub-pixel location of the samples. The paper describes the algorithm, its features, specifics the important for implementation, data formats, implementation in field programmable gate arrays, and summarizes the achieved results.
Keywords
Image Resampling, Sub-pixel Resampling, Raster Image Processing, Geometry Correction, FPGA, Acceleration, Lens Distortion, FIR Filter, Separable Filter, Bilinear Interpolation
RIV year
2011
Released
02.08.2011
Publisher
NEUVEDEN
Location
NEUVEDEN
ISBN
1861-8200
Periodical
Journal of Real-Time Image Processing
Year of study
6
Number
3
State
DE
Pages from
1
Pages to
9
Pages count
9
URL
Documents
BibTex
@article{BUT76424,
author="Pavel {Zemčík} and Bronislav {Přibyl} and Adam {Herout} and Michal {Seeman}",
title="Accelerated Image Resampling for Geometry Correction",
annote="This paper introduces a fast algorithm intended for corrections of image
distortions caused by lenses or similar devices in real time. Not only the
algorithm itself is introduced, but also the paper focuses on its acceleration
with the focus on programmable hardware. The presented algorithm is designed to
correct small geometrical distortions, where the displacement of the location is
only few pixels. However, the resampling is done with high sub-pixel precision.
Description of the geometry of the distortions is done through a square or
rectangular mesh, where simple bilinear interpolation within each node is
exploited to calculate sub-pixel location of the samples. The paper describes the
algorithm, its features, specifics the important for implementation, data
formats, implementation in field programmable gate arrays, and summarizes the
achieved results.",
address="NEUVEDEN",
chapter="76424",
doi="10.1007/s11554-011-0213-x",
edition="NEUVEDEN",
howpublished="print",
institution="NEUVEDEN",
number="3",
volume="6",
year="2011",
month="august",
pages="1--9",
publisher="NEUVEDEN",
type="journal article in Web of Science"
}