Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (9): 221-227.DOI: 10.3778/j.issn.1002-8331.1902-0192

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Joint Bilateral Filtering Method for Ultrasound Image by Fisher-Tippett Distribution Fitting

LI Mengmeng, SHAO Liangzhi, CUI Wenchao, SUN Shuifa   

  1. College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei 443002, China
  • Online:2020-05-01 Published:2020-04-29



  1. 三峡大学 计算机与信息学院,湖北 宜昌 443002


The SRBF method often gets poor performance on speckle reduction due to the inherent defect of bilateral filtering and the large bias from fitting speck lewith Rayleigh distribution. Aiming at the problem, two modifications namely joint bilateral filtering and Fisher-Tippet distribution fitting are used to improve the SRBF method effectively. Joint bilateral filtering leads to smaller bias on weights than that of traditional bilateral filtering. The Fisher-Tippet distribution that derives from the Rayleigh distribution of speckle envelope describes the statistical character of speckle image better than the Rayleigh distribution. It can be verified by quantitative evaluation on synthetic images and real images that the proposed algorithm enhances the despeckling performance based on either of these two modifications of the SRBF method.

Key words: ultrasound image, Speakle Reduction Bilateral Filtering(SRBF), joint bilateral filtering, Fisher-Tippet distribution



关键词: 超声图像, 散斑消减双边滤波(SRBF), 联合双边滤波, Fisher-Tippet分布