Guided trilateral filter and its application to ultrasound image despeckling. (January 2020)
- Record Type:
- Journal Article
- Title:
- Guided trilateral filter and its application to ultrasound image despeckling. (January 2020)
- Main Title:
- Guided trilateral filter and its application to ultrasound image despeckling
- Authors:
- Cui, Wenchao
Li, Mengmeng
Gong, Guoqiang
Lu, Ke
Sun, Shuifa
Dong, Fangmin - Abstract:
- Highlights: A general guided trilateral filtering framework for image restoration. A guided trilateral despeckling filter for ultrasonic speckle reduction. Exploiting spatial distance, range discrepancy and statistical distribution to implement local weighted filtering. Superior despeckling performance, robust convergence property as well as insensitiveness to parameters setting. Great potential applications to other medical imaging modes. Abstract: Speckle reduction has been a hot research topic in ultrasound imaging community. However, designing a method with better despeckling performance and lower algorithm complexity is still an active pursuit. In this paper, we propose a novel local spatial filtering framework named as the guided trilateral filter (GTF) to implement restoration of a noisy image with a well-fitting statistical distribution model. The GTF is derived as the local maximum likelihood estimation from the probabilities of the residuals between the filtered/guided image and the noisy image. The resulting iteration algorithm is essentially a local weighted filtering whose weights come from the guided image, including spatial distance, range discrepancy and statistical distribution. Choosing specific functions for these trilateral weights can direct to some classical local spatial filters, such as classical bilateral filter, robust bilateral filter, joint/cross bilateral filter, speckle reduction bilateral filter, etc. As a despeckling application of the GTF, weHighlights: A general guided trilateral filtering framework for image restoration. A guided trilateral despeckling filter for ultrasonic speckle reduction. Exploiting spatial distance, range discrepancy and statistical distribution to implement local weighted filtering. Superior despeckling performance, robust convergence property as well as insensitiveness to parameters setting. Great potential applications to other medical imaging modes. Abstract: Speckle reduction has been a hot research topic in ultrasound imaging community. However, designing a method with better despeckling performance and lower algorithm complexity is still an active pursuit. In this paper, we propose a novel local spatial filtering framework named as the guided trilateral filter (GTF) to implement restoration of a noisy image with a well-fitting statistical distribution model. The GTF is derived as the local maximum likelihood estimation from the probabilities of the residuals between the filtered/guided image and the noisy image. The resulting iteration algorithm is essentially a local weighted filtering whose weights come from the guided image, including spatial distance, range discrepancy and statistical distribution. Choosing specific functions for these trilateral weights can direct to some classical local spatial filters, such as classical bilateral filter, robust bilateral filter, joint/cross bilateral filter, speckle reduction bilateral filter, etc. As a despeckling application of the GTF, we embed the Fisher-Tippett distribution model of ultrasound image into the GTF and thereby present the guided trilateral despeckling filter (GTDF). Experimental results on synthetic and real ultrasound images have demonstrated that the GTDF not only can achieve superior performance against state of the art methods, but also has fast and robust convergence and parameter setting insensitivity. … (more)
- Is Part Of:
- Biomedical signal processing and control. Volume 55(2020)
- Journal:
- Biomedical signal processing and control
- Issue:
- Volume 55(2020)
- Issue Display:
- Volume 55, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 55
- Issue:
- 2020
- Issue Sort Value:
- 2020-0055-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01
- Subjects:
- Speckle reduction -- Ultrasound image -- Bilateral filter -- Guided filter -- Fisher-Tippett distribution
Signal processing -- Periodicals
Biomedical engineering -- Periodicals
Signal Processing, Computer-Assisted -- Periodicals
Image Processing, Computer-Assisted -- Periodicals
Biomedical Engineering -- Periodicals
610.28 - Journal URLs:
- http://www.sciencedirect.com/science/journal/17468094 ↗
http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2329675%232006%23999989998%23626449%23FLA%23&_cdi=29675&_pubType=J&_auth=y&_acct=C000045259&_version=1&_urlVersion=0&_userid=836873&md5=664b5cf9a57fc91971a17faf20c32ec1 ↗ - DOI:
- 10.1016/j.bspc.2019.101625 ↗
- Languages:
- English
- ISSNs:
- 1746-8094
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2087.880400
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12110.xml