A rapid medical image noise variance estimation method

F. F. Ting, K. S. Sim, E. K. Wong

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)

Abstract

Noise in medical images may affect the result of clinical diagnosis. We propose a rapid noise variances estimation method named Gabor Wavelet Laplacian convolution (GWLC). This method allows rapid estimation of image noise variance without complex calculation. We exclude unwanted image edge lines through Gabor wavelet transform edge detection. Henceforth, we can estimate the noise variance of the image through GWLC. A performance comparison between our proposed method and referred method are carried out. GWLC outperforms other related methods.

Original languageEnglish
Title of host publicationProceedings of 2016 International Conference on Robotics, Automation and Sciences, ICORAS 2016
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9781509062058
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventInternational Conference on Robotics, Automation and Sciences 2016 - Melaka, Malaysia
Duration: 5 Nov 20166 Nov 2016
https://ieeexplore.ieee.org/xpl/conhome/7864798/proceeding (Proceedings)

Conference

ConferenceInternational Conference on Robotics, Automation and Sciences 2016
Abbreviated titleICORAS 2016
CountryMalaysia
CityMelaka
Period5/11/166/11/16
Internet address

Keywords

  • Biomedical Imaging
  • Computed Tomography
  • Image Processing
  • Medical Imaging
  • Noise Estimation

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