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Geodesic paths approach to color image enhancement

  • Silesian University of Technology
  • University of Toronto

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

New filter class for multichannel image processing is introduced and analyzed. The new technique of image enhancement is capable of reducing impulsive and Gaussian noise and it significantly outperforms the standard methods of noise reduction. In the paper a smoothing operator, based on a random walk model and a fuzzy similarity measure between pixels connected by a digital geodesic path is introduced. The efficiency of the proposed method was tested on the standard color images using the objective image quality measures. Obtained results show that the new method not only outperforms standard noise reduction algorithms, but has some interesting features useful for segmentation of noisy color images.

Original languageEnglish
Pages (from-to)146-160
Number of pages15
JournalElectronic Notes in Theoretical Computer Science
Volume46
DOIs
Publication statusPublished - Aug 2001
EventIWCIA 2001, 8th International workshop on Combinatorial Image Analysis - Philadelphia, United States
Duration: 23 Aug 200124 Aug 2001

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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