SIGNAL-DEPENDENT NOISE CHARACTERIZATION FOR MAMMOGRAPHIC IMAGES DENOISING |
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| Marcello Salmeri, Arianna Mencattini, Giulia Rabottino, Roberto Lojacono |
- 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:
- -
- 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