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Edge-respecting image smoothing via extrema interpolation

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

Abstract

The ability of blurring details while preserving salient edges is valuable for many image processing applications. We propose an extrema interpolation formulation for edge-aware smoothing, in which the extrema of the sought signal are fixed. A set of extrema cannot determine a unique signal, so the final smoothing result is the one that has the least distance with the original signal. Our method can follow significant edges more closely, as can be understood intuitively from the standpoint of monotonic approximation. Experimental results on one- and two-dimensional signals validate the distinctive effects of our method. We also demonstrate the effectiveness of our method for image detail enhancement and image abstraction.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing, PCM 2013 - 14th Pacific-Rim Conference on Multimedia, Proceedings
PublisherSpringer Verlag
Pages190-199
Number of pages10
ISBN (Print)9783319037301
DOIs
StatePublished - 2013
Externally publishedYes
Event14th Pacific-Rim Conference on Multimedia, PCM 2013 - Nanjing, China
Duration: 13 Dec 201316 Dec 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8294 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th Pacific-Rim Conference on Multimedia, PCM 2013
Country/TerritoryChina
CityNanjing
Period13/12/1316/12/13

Keywords

  • Edge-preserving smoothing
  • Extrema interpolation
  • Monotonic regression
  • Quadratic programming

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