Detail publikace

A Stochastic Method For Ultrasound Despeckling In Images Via Dynamic Weight Allocation

MANGIPUDI, P. BANNERJEE, P. DUTTA, M. ŘÍHA, K. DORAZIL, J.

Originální název

A Stochastic Method For Ultrasound Despeckling In Images Via Dynamic Weight Allocation

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Medical and biological imaging modalities like ultrasound often contain noise that is non-linear in nature. Noise reduction via linear filtering algorithms often produce unimpressive results. Multiplicative noise like speckle noise is inherently present in medical ultrasound images, and it usually reduces the contrast between region of interest and the background. Recent algorithms like Bayesian methods have been used with some degree of success but they are computationally intensive. This paper presents an iterative algorithm for noise reduction in ultrasound images via dynamic weight allocation. Proposed method is fast and performs better in comparison to state-of-art techniques.

Klíčová slova

Ultrasound; speckle noise; denoising

Autoři

MANGIPUDI, P.; BANNERJEE, P.; DUTTA, M.; ŘÍHA, K.; DORAZIL, J.

Vydáno

4. 7. 2018

Nakladatel

Faculty of Electrical Engineering and Communacation, Brno University of Technology

Místo

Technická 3058/10, 616 00 Brno, Czech Republic

ISBN

978-1-5386-4695-3

Kniha

Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing

Strany od

228

Strany do

231

Strany počet

4

URL

http://tsp.vutbr.cz/datas/tsp2018_proc/TSP2018.pdf

BibTex

@inproceedings{BUT148933,
  author="Parthasarathi {Mangipudi} and Parameswar {Bannerjee} and Malay Kishore {Dutta} and Kamil {Říha} and Jan {Dorazil}",
  title="A Stochastic Method For Ultrasound Despeckling In Images Via Dynamic Weight Allocation",
  booktitle="Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing",
  year="2018",
  pages="228--231",
  publisher="Faculty of Electrical Engineering and Communacation, Brno University of Technology",
  address="Technická 3058/10, 616 00 Brno, Czech Republic",
  isbn="978-1-5386-4695-3",
  url="http://tsp.vutbr.cz/datas/tsp2018_proc/TSP2018.pdf"
}