Literature DB >> 24110459

Comparison of a discrete wavelet transform method and a modified undecimated discrete wavelet transform method for denoising of mammograms.

Eri Matsuyama, Du-Yih Tsai, Yongbum Lee, Noriyuki Takahashi.   

Abstract

The purpose of this study was to evaluate the performance of a conventional discrete wavelet transform (DWT) method and a modified undecimated discrete wavelet transform (M-UDWT) method applied to mammographic image denoising. Mutual information, mean square error, and signal to noise ratio were used as image quality measures of images processed by the two methods. We examined the performance of the two methods with visual perceptual evaluation. A two-tailed F test was used to measure statistical significance. The difference between the M-UDWT processed images and the conventional DWT-method processed images was statistically significant (P<0.01). The authors confirmed the superiority and effectiveness of the M-UDWT method. The results of this study suggest the M-UDWT method may provide better image quality as compared to the conventional DWT.

Mesh:

Year:  2013        PMID: 24110459     DOI: 10.1109/EMBC.2013.6610272

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  A Contactless Glucose Solution Concentration Measurement System Based on Improved High Accurate FMCW Radar Algorithm.

Authors:  Chengjie Liu; Yuan Du; Li Du
Journal:  Sensors (Basel)       Date:  2022-05-29       Impact factor: 3.847

2.  Improving image quality in medical images using a combined method of undecimated wavelet transform and wavelet coefficient mapping.

Authors:  Du-Yih Tsai; Eri Matsuyama; Hsian-Min Chen
Journal:  Int J Biomed Imaging       Date:  2013-12-07

3.  Integration of stationary wavelet transform on a dynamic partial reconfiguration for recognition of pre-ictal gamma oscillations.

Authors:  N Jmail; M Zaghdoud; A Hadriche; T Frikha; C Ben Amar; C Bénar
Journal:  Heliyon       Date:  2018-03-01
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.