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Adaptive noise Wiener filter for scanning electron microscope imaging system.

K S Sim1, V Teh1, M E Nia1

  • 1Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia.

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Summary

A new adaptive noise Wiener (ANW) filter effectively reduces Gaussian noise in scanning electron microscope (SEM) images. This novel filter outperforms existing methods across various noise levels, enhancing image quality for scientific analysis.

Keywords:
Wiener filterelectron microscopenoisesignal-to-noise ratio

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Area of Science:

  • Materials Science
  • Image Processing
  • Microscopy

Background:

  • Scanning electron microscopy (SEM) is crucial for high-resolution imaging.
  • SEM images often suffer from noise, primarily Gaussian noise, hindering analysis.
  • Effective noise reduction is vital for accurate interpretation of SEM data.

Purpose of the Study:

  • To develop and evaluate a novel noise reduction filter for SEM images.
  • To compare the performance of the proposed adaptive noise Wiener (ANW) filter against established filters.
  • To assess the filter's efficacy under varying noise conditions.

Main Methods:

  • Development of a new adaptive noise Wiener (ANW) filter based on the Wiener filter principle.
  • Comparative analysis using standard noise reduction filters: average, median, Gaussian smoothing, and the conventional Wiener filter.
  • Experimental evaluation of filter performance on SEM images with varying levels of Gaussian noise.

Main Results:

  • The proposed adaptive noise Wiener (ANW) filter demonstrated superior noise reduction capabilities compared to all tested filters.
  • ANW filter performance was consistently better across different noise variance levels.
  • Quantitative and qualitative assessments confirmed the enhanced image quality achieved by the ANW filter.

Conclusions:

  • The adaptive noise Wiener (ANW) filter is a highly effective tool for reducing Gaussian noise in SEM images.
  • This new filter offers significant advantages over existing methods for SEM image denoising.
  • The ANW filter contributes to improved accuracy and reliability in SEM-based research.