Multistage bilateral noise filtering and edge detection for color image enhancement

Wen Chung Kao*, Ying Ju Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)


Removing noise while preserving and enhancing edges is one of the most fundamental operations of image/video processing. When taking pictures with digital cameras, it is frequently found that the color images are corrupted by miscellaneous noise and, hence, noise filtering is necessary. The difficulty is that usually the filtering will reduce the sharpness of the image. On the other hand, optical lens imperfections are usually equivalent to spatial low pass filters and tend to result in blurred images. It is customary to apply edge enhancement algorithm on the image in order to improve the sharpness, but this process usually increase the noise level as a by-product. In this paper, we present a new integrated approach to address these issues. The proposed approach combines color edge detection, bilateral noise filter, and edge enhancement based on suitable color spaces. The experimental results show that the proposed approach can effectively reduce the noise while preserving and enhancing edges.

Original languageEnglish
Pages (from-to)1346-1351
Number of pages6
JournalIEEE Transactions on Consumer Electronics
Issue number4
Publication statusPublished - 2005 Nov


  • Bilateral noise filtering
  • Domain filter
  • Edge enhancement
  • Range filter

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


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