scholarly journals Motion-Compensated Frame Rate Up-Conversion in Carotid Ultrasound Images using Optical Flow and Manifold Learning

2019 ◽  
Author(s):  
Fereshteh Yousefi Rizi
Keyword(s):  
Optical Flow ◽  
Manifold Learning ◽  
Frame Rate ◽  
Ultrasound Images ◽  
Carotid Ultrasound ◽  
Frame Rate Up Conversion

A Motion Adaptive Wavelet-Denoising for Frame-Rate Up-Conversion

2016 ◽  
Vol 850 ◽  
pp. 121-128
Author(s):  
Şükrü Görgülü ◽  
Ömer Nezih Gerek
Keyword(s):  
Optical Flow ◽  
Frame Rate ◽  
Motion Path ◽  
Adaptive Wavelet ◽  
Flow Estimation ◽  
Optical Flow Estimation ◽  
Pixel Location ◽  
Frame Rate Up Conversion ◽  
Temporal Flow ◽  
Zero Tree

This study introduces a frame-rate up-conversion method that uses a temporal wavelet zerotree-based shrinkage algorithm over motion trajectory of a video obtained by optical flow. The method starts by optical flow estimation for predicting initial estimates of inserted frame pixels. Then, the predicted frame pixels are denoised using a specific wavelet-based algorithm, where each pixel location is examined independently through its own temporal motion path. The denoising was performed by shrinking zero-tree footprints to remove temporal oddities. The resulting video was observed to have more fluent temporal flow as compared to optical flow - only interpolation.

scholarly journals Should clinicians be given hard copies of duplex carotid ultrasound images?

1991 ◽  
Vol 54 (10) ◽  
pp. 936-937
Author(s):  
S Gunatilake ◽  
P Sandercock ◽  
J Slattery
Keyword(s):  
Ultrasound Images ◽  
Carotid Ultrasound
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