A local variance-based bilateral filtering for artifact-free detail- and edge-preserving smoothing

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8 Scopus citations

Abstract

Edge-preserving smoothing has recently emerged as a crucial technique for a variety of computer vision and image processing applications. The idea is to smooth the small scale variations, while preserving edges and fine details in the image, without causing halo artifacts in detail enhancement. In this paper, we propose a modified bilateral filter model that has better behavior near edges and details than the standard model does. The edge-stopping function takes into account the intensity difference and the local variance of the filter windows, which provides insightful information about the local pixel distribution. We demonstrate the existing detail-related bilateral-based applications can achieve better results by simply switching from the standard model to our proposed model. In particular, we applied our method to detail-preserving image denoising and detail enhancement.

Original languageEnglish
Title of host publicationAdvances in Image and Video Technology - 5th Pacific Rim Symposium, PSIVT 2011, Proceedings
Pages60-70
Number of pages11
EditionPART 2
DOIs
StatePublished - 2011
Event5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011 - Gwangju, Korea, Republic of
Duration: 20 Nov 201123 Nov 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7088 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011
Country/TerritoryKorea, Republic of
CityGwangju
Period20/11/1123/11/11

Keywords

  • bilateral filter
  • detail enhancement
  • Edge-preserving smoothing
  • image denoising

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