The trinary image tree: A flexible edge-aware multiscale structure

Yunhai Wang, Huai Zhang, Shi Chen, D. Yuen, Xuebin Chi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traditional multiscale structure filters decompose image into two channels as low and high frequency. However, it is difficult to deal with some edge related operations because edge is still implied in high-frequency band. In this paper, we propose a new edge-aware filter which provide an explicit edge layer by obtaining the difference between edge-preserving bilateral filter and Gaussian filter. To separate edge and noise from image further, a flexible purpose-oriented trinary tree with recursively decomposition was built. Corresponding to multiscale analysis, we provide flexible synthesis method to address our trinary tree applied in many different problems. Our trinary tree filtering method offers better performance in contrast to bilateral filter and Gaussian filter. This has been proved by our edge-preserving image denoising experiments.

Original languageEnglish (US)
Title of host publication5th International Conference on Visual Information Engineering, VIE 2008
Pages318-322
Number of pages5
Edition543 CP
DOIs
StatePublished - Dec 1 2008
Event5th International Conference on Visual Information Engineering, VIE 2008 - Xi'an, China
Duration: Jul 29 2008Aug 1 2008

Publication series

NameIET Conference Publications
Number543 CP

Other

Other5th International Conference on Visual Information Engineering, VIE 2008
CountryChina
CityXi'an
Period7/29/088/1/08

Keywords

  • Bilateral filter
  • Edge-preserving image denoising
  • Gaussian filter
  • Trinary image tree

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