Efficient Image Blur in Web-Based Applications

Martin Kraus

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

842 Downloads (Pure)

Abstract

Scripting languages require the use of high-level library functions to implement efficient image processing; thus, real-time image blur in web-based applications is a challenging task unless specific library functions are available for this purpose. We present a pyramid blur algorithm, which can be implemented using a subimage copy function, and evaluate its performance with various web browsers in comparison to an infinite impulse response filter. While this pyramid algorithm was first proposed for GPU-based image processing, its applicability to web-based applications indicates that some GPU techniques are of more general interest than previously assumed.
Original languageEnglish
Title of host publicationTheory and Practice of Computer Graphics 2010 : Eurographics UK Chapter Proceedings
EditorsJohn Collomosse, Ian Grimstead
Number of pages8
PublisherEuropean Association for Computer Graphics
Publication date2010
Pages9-16
ISBN (Print)978-3-905673-75-3
Publication statusPublished - 2010
EventTheory and Practice of Computer Graphics, TPCG 2010 - Sheffield, United Kingdom
Duration: 6 Sept 20108 Sept 2010

Conference

ConferenceTheory and Practice of Computer Graphics, TPCG 2010
Country/TerritoryUnited Kingdom
CitySheffield
Period06/09/201008/09/2010

Keywords

  • image processing
  • pyramid algorithm

Fingerprint

Dive into the research topics of 'Efficient Image Blur in Web-Based Applications'. Together they form a unique fingerprint.

Cite this