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Home / programming language / Online Matlab Projects / Ultrasound Image Denoising using a Combination of Bilateral Filtering and Stationary Wavelet
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Ultrasound Image Denoising using a Combination of Bilateral Filtering and Stationary Wavelet

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SKU: PROJ7864 Categories: 2017 Projects, Digital Image Processing Projects, Online Matlab Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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Ultrasound Image Denoising using a Combination of Bilateral Filtering and Stationary Wavelet Transform

Abstract—Abstract Medical image degradation has a significant impact on image quality, and thus affects human interpretation and the accuracy of computer-assisted diagnostic techniques.Unfortunately, Ultrasound images are mainly degraded by an intrinsic noise called speckle. Therefore, despekle filtering is a critical preprocessing step in medical ultrasound images. In this paper we propose a new image denoising technique based on the combination of bilateral filter and stationary wavelet transform.The main contribution of this paper is in the use of a new neighborhood relationship to develop a new multiscale bilateral filter. Experimental results validated the effectiveness and the accuracy of the proposed filter in speckle noise reduction and edge preservation for medical ultrasound images.

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