Abstract
Medical ultrasonography offers important information about patients health thus physicians are able to recognize different diseases. During acquisition, ultrasound images may be affected by a multiplicative noise called speckle which significantly degrades the image quality. Removing speckle noise (despeckling) plays a key role in medical ultrasonography. In this paper, we propose a denoising algorithm in the wavelets domain which associates the Hyperanalytic Wavelet Transform (HWT) with a Maximum a Posteriori (MAP) filter named bishrink for medical ultrasound images. Several common spatial speckle reduction techniques are also used and their performances are compared in terms of three evaluation parameters: the Mean Square Error (MSE), the Peak Signal to Noise Ratio (PSNR), and the Structural SIMilarity (SSIM) index.
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Stolojescu-Crisan, C. (2015). A Hyperanalytic Wavelet Based Denoising Technique for Ultrasound Images. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2015. Lecture Notes in Computer Science(), vol 9043. Springer, Cham. https://doi.org/10.1007/978-3-319-16483-0_19
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DOI: https://doi.org/10.1007/978-3-319-16483-0_19
Publisher Name: Springer, Cham
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