Publication detail

On Bayer demosaicing impact on image sharpness in lens quality assessment

ZEMČÍK, T. HORÁK, K.

Original Title

On Bayer demosaicing impact on image sharpness in lens quality assessment

Type

conference paper

Language

English

Original Abstract

In this short paper an ongoing research is introduced into the methods of simple lens quality assessment for low-cost computer vision applications. Also the paradigm of colour filter arrays (CFA), CFA images and their demosaicing are described. Further the paper introduces an experiment to compare selected demosaicing algorithms and their influences on image sharpness, and therefore on the lens quality assessment. Of the selected methods the AHD (Adaptive Homogeneity-Directed) algorithm proved the most suitable for the lens evaluation.

Keywords

Colour filter array, Bayer matrix, demosaicing, debayering, lens quality, MTF

Authors

ZEMČÍK, T.; HORÁK, K.

Released

26. 4. 2022

Publisher

Brno University of Technology, Faculty of Electronic Engineering and Communication

Location

Brno

ISBN

978-80-214-6030-0

Book

PROCEEDINGS II OF THE 28TH STUDENT EEICT 2022 Selected Papers

Edition

1

Pages from

291

Pages to

296

Pages count

6

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v2.pdf

BibTex

@inproceedings{BUT178570,
  author="Tomáš {Zemčík} and Karel {Horák}",
  title="On Bayer demosaicing impact on image sharpness in lens quality assessment",
  booktitle="PROCEEDINGS II OF THE 28TH STUDENT EEICT 2022 Selected Papers",
  year="2022",
  series="1",
  pages="291--296",
  publisher="Brno University of Technology, Faculty of Electronic Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6030-0",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v2.pdf"
}