SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Currently, hexagonal image processing is mainly based on simulated data generated by square lattice conversions. For the evaluation of the conversion quality, this paper presents a method for ideal square to hexagonal lattice conversion. Based on the square lattice discrete-time Fourier transform (DTFT), the method first determines the values of the hexag- onal discrete Fourier transform (HDFT), and performs the in- verse HDFT to obtain the ideal conversion. This method pro- vides a benchmark for evaluating other practical conversions and such evaluation is presented in this paper.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages2129-2133
Number of pages5
Publication statusPublished - 20 Sep 2017
EventIEEE International Conference in Image Processing - Beijing, China
Duration: 20 Sep 2017 → …

Conference

ConferenceIEEE International Conference in Image Processing
Period20/09/17 → …

Fingerprint

evaluation
image processing

Keywords

  • Hexagonal image processing
  • lattice conversion
  • DTFT
  • HDFT.

Cite this

@inproceedings{554548c435684bc4a0bb1388fe8f5f82,
title = "SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN",
abstract = "Currently, hexagonal image processing is mainly based on simulated data generated by square lattice conversions. For the evaluation of the conversion quality, this paper presents a method for ideal square to hexagonal lattice conversion. Based on the square lattice discrete-time Fourier transform (DTFT), the method first determines the values of the hexag- onal discrete Fourier transform (HDFT), and performs the in- verse HDFT to obtain the ideal conversion. This method pro- vides a benchmark for evaluating other practical conversions and such evaluation is presented in this paper.",
keywords = "Hexagonal image processing, lattice conversion, DTFT, HDFT.",
author = "Xiannguo Li and Bryan Gardiner and Sonya Coleman",
year = "2017",
month = "9",
day = "20",
language = "English",
isbn = "978-1-5090-2174-1",
pages = "2129--2133",
booktitle = "Unknown Host Publication",

}

Li, X, Gardiner, B & Coleman, S 2017, SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN. in Unknown Host Publication. pp. 2129-2133, IEEE International Conference in Image Processing, 20/09/17.

SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN. / Li, Xiannguo; Gardiner, Bryan; Coleman, Sonya.

Unknown Host Publication. 2017. p. 2129-2133.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN

AU - Li, Xiannguo

AU - Gardiner, Bryan

AU - Coleman, Sonya

PY - 2017/9/20

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N2 - Currently, hexagonal image processing is mainly based on simulated data generated by square lattice conversions. For the evaluation of the conversion quality, this paper presents a method for ideal square to hexagonal lattice conversion. Based on the square lattice discrete-time Fourier transform (DTFT), the method first determines the values of the hexag- onal discrete Fourier transform (HDFT), and performs the in- verse HDFT to obtain the ideal conversion. This method pro- vides a benchmark for evaluating other practical conversions and such evaluation is presented in this paper.

AB - Currently, hexagonal image processing is mainly based on simulated data generated by square lattice conversions. For the evaluation of the conversion quality, this paper presents a method for ideal square to hexagonal lattice conversion. Based on the square lattice discrete-time Fourier transform (DTFT), the method first determines the values of the hexag- onal discrete Fourier transform (HDFT), and performs the in- verse HDFT to obtain the ideal conversion. This method pro- vides a benchmark for evaluating other practical conversions and such evaluation is presented in this paper.

KW - Hexagonal image processing

KW - lattice conversion

KW - DTFT

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M3 - Conference contribution

SN - 978-1-5090-2174-1

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EP - 2133

BT - Unknown Host Publication

ER -