Fast edge preserving 2D smoothing filter using indicator function

Ryo Abiko, Masaaki Ikehara

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Edge-preserving smoothing filter smoothes the textures while preserving the information of sharp edges. In image processing, this kind of filter is used as a fundamental process of many applications. In this paper, we propose a new approach for edge-preserving smoothing filter. Our method uses 2D local filter to smooth images and we apply indicator function to restrict the range of filtered pixels for edge-preserving. To define the indicator function, we recalculate the distance between each pixel by using edge information. The nearby pixels in the new domain are used for smoothing. Since our method constrains the pixels used for filtering, its running time is quite fast. We demonstrate the usefulness of our new edge-preserving smoothing method for some applications.

Original languageEnglish
Pages (from-to)2025-2032
Number of pages8
JournalIEICE Transactions on Information and Systems
VolumeE102D
Issue number10
DOIs
Publication statusPublished - 2019 Jan 1

Keywords

  • Contents matching
  • Denoising
  • Edge-preserving smoothing
  • Indicator function

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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