Abstract
This paper focuses on the issue of speckle noise and its suppression. Firstly, the multiplicative speckle noise model and its mathematical formulation are introduced. Then, certain de-noising methods are described together with possible improvements. On their basis, an improvement of Kuan method (KuanS) is proposed. Performance of proposed KuanS method is tested on real ultrasound images and synthetic images corrupted with speckle noise. PSNR, edge preservation, standard deviation of homogenous regions and SIR are used for the evaluation of quality of noise suppression. Performance of the KuanS is compared with other methods. The KuanS method achieves satisfactory results even in comparison with more complex methods (SRAD, wavelet based noise suppression).
Highlights
Ultrasound is widely used in medicine for imaging internal organs such as liver, kidney, spleen, uterus, heart and artery
The variance of speckle noise was chosen in range from 0,01 to 0,1 (see Fig. 2 (b)–(d))
All measured parameters have to be considered during the final evaluation of proposed method
Summary
Ultrasound is widely used in medicine for imaging internal organs such as liver, kidney, spleen, uterus, heart and artery. Ultrasound medical imaging is popular thanks its speed, scanner portability, non-invasive principle, cheapness, etc. Ultrasound images are often low-contrast and they contain artifacts and noise. Since the speckle noise is very specific, many denoising methods were tailored just for this purpose. The most common methods are briefly described in related work section. Section two introduces the speckle noise issue and its mathematical description. Section three contains an overview of speckle de-noising methods. The rest of this paper focuses on the evaluation of described methods and on the discussion of their suitability for usage in real images
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