A decision-tree-based denoising approach for efficient removal of impulse noise

Chien Chuan Huang, Chih Yuan Lien, Pei-Yin Chen

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

2 Citations (Scopus)

Abstract

Images are often corrupted by impulse noise in the procedures of image acquisition and transmission. In this paper, we propose a novel denoising method, which is based on the decision-tree and edge-preserving techniques, for the removal of random-valued impulse noise. Extensive experimental results show that the proposed technique not only preserves the edge features, but also obtains excellent performances in terms of quantitative evaluation and visual quality. Furthermore, the design requires only low computational compleXIty. It is very suitable for real-time embedded systems.

Original languageEnglish
Title of host publication2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide
Pages74-79
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 2nd International Symposium on Aware Computing, ISAC 2010 - Sapporo, Japan
Duration: 2010 Nov 12010 Nov 4

Publication series

Name2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide

Other

Other2010 2nd International Symposium on Aware Computing, ISAC 2010
Country/TerritoryJapan
CitySapporo
Period10-11-0110-11-04

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications

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