A fast and efficient noise reduction method suitable for low noise density

Chin Chen Chang, Chih Ping Hsieh, Ju Yuan Hsiao

研究成果: Conference contribution

摘要

A fast and efficient noise reduction method is proposed in this paper. The main idea of the method is to reduce the running time of the standard median filter. The major difference between our method and the standard median filter is the preprocessing work before filtering. We use a simple noise detection scheme to decide which pixel should be processed with the standard median filter. Our noise detection scheme is based on image hiding technology. The experimental results show that our method uses only about a quarter of the running time consumed by the standard median filter. By the experimental results, we shall also show that our method is more suitable for low noise density than other famous median filters like the standard median filter and the center weighted median filter.

原文English
主出版物標題Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings
編輯Yung-Chang Chen, Long-Wen Chang, Chiou-Ting Hsu
發行者Springer Verlag
頁面386-392
頁數7
ISBN(列印)3540002626, 9783540002628
出版狀態Published - 2002 一月 1
事件3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 - Hsinchu, Taiwan
持續時間: 2002 十二月 162002 十二月 18

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2532
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002
國家Taiwan
城市Hsinchu
期間02-12-1602-12-18

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • 引用此

    Chang, C. C., Hsieh, C. P., & Hsiao, J. Y. (2002). A fast and efficient noise reduction method suitable for low noise density. 於 Y-C. Chen, L-W. Chang, & C-T. Hsu (編輯), Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings (頁 386-392). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 2532). Springer Verlag.