INTERNATIONAL JOURNAL OF ENGINEERING, SCIENCE AND - Volume 8, Issue 5, May 2019

Pages: 01-07
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New adaptive weighted filter approach for reducing the speckle noise inultrasound images

Author: Evelin .D Blessy Anuba R.L

Category: Engineering, Science and Mathematics

Abstract:

Ultrasound images are affected by the speckle phenomenon, a multiplicative noise that degrades image quality. A new adaptive weighted filter approach for reducing the speckle noise in ultrasound images is introduced in the proposed method. In existing method high level impulse noise is not removed and PSNR, SSIM is very low. These problems can be overcomed by using adaptive weighted filter approach. Peak signal-to-noise ratio (PSNR) is the ratio between the power of a signal and the power of the disturbing noise. The structural similarity index (SSIM) is a method for measuring the similarity between two images. The new filter achieves good results in reducing the noise without affecting the image content. The performance of the proposed filter has been compared with some of the commonly used denoising filters. We deduce new stochastic distances for a Fisher-Tippett distribution, based on well-known statistical divergences, and use them as distance measures in a modified version of the BM3D algorithm for filtering log-compressed ultrasound images. The proposed filter outperforms the existing filters in terms of quantitative analysis and in edge preservation. The experimental analysis is done using various ultrasound images and obtains high PSNR and SSIM.

Keywords: SSIM Peak signal to noise ratio Ultrasound BM3D Fisher-Tippett