Literature DB >> 26235517

Adaptive noise Wiener filter for scanning electron microscope imaging system.

K S Sim1, V Teh1, M E Nia1.   

Abstract

Noise on scanning electron microscope (SEM) images is studied. Gaussian noise is the most common type of noise in SEM image. We developed a new noise reduction filter based on the Wiener filter. We compared the performance of this new filter namely adaptive noise Wiener (ANW) filter, with four common existing filters as well as average filter, median filter, Gaussian smoothing filter and the Wiener filter. Based on the experiments results the proposed new filter has better performance on different noise variance comparing to the other existing noise removal filters in the experiments. © Wiley Periodicals, Inc.

Keywords:  Wiener filter; electron microscope; noise; signal-to-noise ratio

Year:  2015        PMID: 26235517     DOI: 10.1002/sca.21250

Source DB:  PubMed          Journal:  Scanning        ISSN: 0161-0457            Impact factor:   1.932


  1 in total

1.  A novel generic dictionary-based denoising method for improving noisy and densely packed nuclei segmentation in 3D time-lapse fluorescence microscopy images.

Authors:  Lamees Nasser; Thomas Boudier
Journal:  Sci Rep       Date:  2019-04-04       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.