Abstract
A challenge for the researchers in medical ultrasound images is speckle noise reduction. In our work, we introduced a new method which reduces speckle noise in ultrasound images. Our method is based on TV regularization and modified bayes shrink. First, TV regularization is performed on the ultrasound image. Then, we perform a discrete wavelet transform on the coefficients obtained from total variation. Some subbands involving an approximation subband and detail subbands are revealed in output. Afterward, modified bayes shrink and soft thresholding are performed on the coefficients of the detail subbands whereas keeping the coefficients of the approximation fixed. Finally, invert the wavelet transform to retrieve the image. The performance of the algorithm has been tested using quantitative measures on synthetic and real ultrasound images. Experiments show that the proposed method does remove speckle noise significantly.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Optik - International Journal for Light and Electron Optics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
