Multiscale “Squiral" (Square-Spiral) Image Processing

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


In this paper, we present a multiscale “squiral" (square spiral) image processing (SIP) framework. Anefficient spiral addressing scheme is deployed for standard pixel based square images to facilitate fast imageprocessing. A SIP-based convolution technique is developed by simulating the “eye tremor" phenomenon ofthe human visual system. The multiscale SIP operators are constructed by converting existing square imageoperators according to the SIP addressing scheme. The results of edge detection based on three-layer SIPimages and SIP operator at four different scales demonstrate the efficiency of the proposed framework bycomparison with standard 2D convolution.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherInternational Association of Pattern Recognition
Number of pages8
Publication statusPublished (in print/issue) - 26 Aug 2015
EventIrish Machine Vision and Image Processing (IMVIP) - Dublin, Ireland
Duration: 26 Aug 2015 → …


ConferenceIrish Machine Vision and Image Processing (IMVIP)
Period26/08/15 → …


  • spiral addressing scheme
  • multiscale operator
  • fast image processing
  • edge detection


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