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"
}