SIGNAL-DEPENDENT NOISE CHARACTERIZATION FOR MAMMOGRAPHIC IMAGES DENOISING

• Abstract:

  The paper deals with the noise characterization under the assumption of a heteroscedastic signal–dependent noise model in the context of medical imaging. In particular, in this kind of application, a sophisticated noise variance estimation algorithm is applied using robust estimators and nonlinear regressions. A direct relation between noise variance and pixel intensity values is obtained and used within a multiresolution denoising algorithm, performed by Wavelet Thresholding (WT). We will provide results of the noise estimation, by applying the proposed method to mammographic images.
• Download:

  IMEKO-TC4-2008-072.pdf
• DOI:

  _unreg_tc4-2008.072

Event details:

• IMEKO TC:

  TC4
• Event name:

  Exploring New Frontiers of Instrumentation and Methods for Electrical and Electronic Measurements
• Title:

  XVIth IMEKO TC4 International Symposium on Electrical Measurements and Instrumentation (together with 13th IMEKO TC4 Workshop on ADC Modelling and Testing)
• Place:

  Florence, ITALY
• Time:

  22 September 2008 - 24 September 2008