一种用于超声图像的实时斑点噪声清除滤波器

Bodhisatwa Mazumdar, Aman Mediratta, J. Bhattacharyya, S. Banerjee
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引用次数: 10

摘要

超声图像被相干后向散射波之间的随机干扰所引起的倍增散斑噪声所掩盖。本文提出了一种高效的超声图像实时斑点清除滤波算法及其在FPGA上的VLSI实现。本文提出的算法实现了一个规则的、可调的滤波器,并优化了具有适当并行性和流水线的架构,以实现高速。将该滤波器的性能与野蛮区域生长滤波器(ARGF)进行了比较。该滤波器处理后的图像能够有效地去除斑点,并恢复边缘细节。此外,PSNR性能优于ARGF滤波器,同时噪声方差更低,表明图像更干净,因为更多的散斑减少了
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Real Time Speckle Noise Cleaning Filter for Ultrasound Images
Ultrasound images are masked by multiplicative speckle noise caused by random interference between coherent backscattered waves. This paper presents an efficient algorithm for real-time speckle cleaning filter of ultrasound images and its VLSI implementation in FPGA. The algorithm presented here implements a regular, tunable filter with an optimized architecture having proper parallelism and pipelining to achieve high speed. The performance of the proposed filter is compared to that of the aggressive region growing filter (ARGF). The processed images obtained from the proposed filter are speckle removed and the edge details are also restored effectively. Also, the PSNR performance is better than the ARGF filter while noise variance is lower indicating a cleaner image as more speckle is reduced
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