An overview of popular digital image processing filtering operations

James Coady, Andrew O'Riordan, Gerard Dooly, Thomas Newe, Daniel Toal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Digital image processing (DIP) is carried out to produce an altered image that is more suitable for the intended application. Image filtering and image warping are considered to be the most common methods of image processing. Within image filtering, these operations are carried out to aid the altering or enhancing an image to either remove specific features or highlight features of interest within the image. These operations are generally carried out in the pre-processing stage and can have very positive results on the quality of feature extraction and the results of image analysis. This paper aims to give a brief overview of some popular image filtering operations, focusing on edge detection filters, smoothing filters and the advantages of greyscale over colour images.

Original languageEnglish
Title of host publication2019 13th International Conference on Sensing Technology, ICST 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728146317
DOIs
Publication statusPublished - Dec 2019
Event13th International Conference on Sensing Technology, ICST 2019 - Sydney, Australia
Duration: 2 Dec 20194 Dec 2019

Publication series

NameProceedings of the International Conference on Sensing Technology, ICST
Volume2019-December
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Conference

Conference13th International Conference on Sensing Technology, ICST 2019
Country/TerritoryAustralia
CitySydney
Period2/12/194/12/19

Keywords

  • Digital Image Processing
  • Edge Detection
  • Greyscale
  • Image Filtering
  • Image Quality
  • Smoothing Filters

Fingerprint

Dive into the research topics of 'An overview of popular digital image processing filtering operations'. Together they form a unique fingerprint.

Cite this