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首页> 外文期刊>Journal of computer sciences >SPECKLE REDUCTION IN ULTRASOUND IMAGES USING NEIGHSHRINK AND BILATERAL FILTERING | Science Publications
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SPECKLE REDUCTION IN ULTRASOUND IMAGES USING NEIGHSHRINK AND BILATERAL FILTERING | Science Publications

机译：NEIGHSRINK和双边过滤技术在超声图像中减少斑点科学出版物

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摘要

> Speckle is a random multiplicative noise which obscures the perception and extraction of fine details in ultrasound images and speckle reduction is necessary to improve the visual quality of ultrasound images for better diagnosis. This study aims at introducing an algorithm by hybridizing bilateral filter with NeighShrink. The bilateral filter is applied before decomposition and after reconstruction of the image using discrete wavelet transform to improve the denoising efficiency and preserve the edge features effectively. The wavelet thresholding scheme NeighShrink is used for thresholding of wavelet coefficients. The algorithm is tested with synthetically speckled and real ultrasound images. Quality evaluation metrics such as Peak Signal to Noise Ratio (PSNR), Edge Preservation Index (EPI) and Correlation Coefficient (CoC) are used to assess the performance of the proposed method. Experimental results show that the proposed scheme improves the visual quality of ultrasound images by suppressing the speckle noise while retaining edges.
机译： >斑点是一种随机的乘法噪声，会掩盖超声图像中精细细节的感知和提取，而减少斑点对于提高超声图像的视觉质量以进行更好的诊断是必不可少的。本研究旨在介绍一种通过将双边滤波器与NeighShrink混合的算法。在图像的分解之前和之后使用离散小波变换应用双边滤波器，以提高去噪效率并有效保留边缘特征。小波阈值方案NeighShrink用于小波系数的阈值。该算法已通过合成斑点图像和真实超声图像进行了测试。使用诸如峰值信噪比（PSNR），边缘保留指数（EPI）和相关系数（CoC）的质量评估指标来评估该方法的性能。实验结果表明，该方案通过在保持边缘的同时抑制斑点噪声，提高了超声图像的视觉质量。

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