Real-time video denoising for 2D ultrasound streaming video on GPUs
Department of Computing, Faculty of Science, Silpakorn University, Nakhon-Pathom, Thailand
International Computer Science and Engineering Conference (ICSEC), 2013
@inproceedings{dolwithayakul2013real,
title={Real-time video denoising for 2D ultrasound streaming video on GPUs},
author={Dolwithayakul, B and Chantrapornchai, C and Chumchob, N},
booktitle={Computer Science and Engineering Conference (ICSEC), 2013 International},
pages={233–238},
year={2013},
organization={IEEE}
}
The ultrasound videos are mainly contaminated by multiplicative noises but also contaminated with additive noises. As the past few decades, there are some studies to remove the noises from ultrasound images as in the JY model [1] and the variational model which removes both types of noises. However, denoising these noises from the ultrasound video is the time-consuming process. With the advancement of multi-core and many-core processors, it makes the denoising process much faster and it is possible to render while doing the real-time denoising. In this study, we propose the modified strategy from [2] to denoise the streaming ultrasound video in real-time. Our proposed model can retain the frame order, and get the satisfactory frame rate (about 14.98 fps). The proposed strategy boosts the speedup of the frame denoising to 3.79 times compared to the sequential computation.
March 9, 2014 by hgpu
