A comparative analysis of various speckle reduction techniques for ultrasound images

被引：0

作者：

Randhawa, Simarjot Kaur ^{[1
]}

Sunkaria, Ramesh Kumar ^{[1
]}

机构：

[1] Dr BR Ambedkar Natl Inst Technol, Dept Elect & Commun Engn, Jalandhar, Punjab, India

来源：

PROCEEDINGS OF 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTING AND CONTROL (ISPCC 2K17) | 2017年

关键词：

speckle noise; ultrasound; wavelet; filters; denoising; NOISE-REDUCTION; MULTISCALE METHOD; RADAR IMAGES; DOMAIN; RESTORATION; DIFFUSION; SCANS; MODEL;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this work, a comparison of existing speckle reduction techniques have been done. Median and wiener filters, wavelet based methods and SRAD methods have been compared. The methods are first tested on synthetic images for comparison of the results and then applied on real ultrasound images. It is observed that SRAD method outperforms the other techniques for low noise variance. For higher noise variance, exponential thresholding outperforms the remaining techniques. Also, it is observed that wiener filter have a comparable performance and hence performs well over range of noise variance. Wavelet denoising based on the soft thresholding is reported to be least performing.

引用

页码：106 / 110

页数：5

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