Speckle Reduction on Ultrasound Liver Images Based on a Sparse Representation over a Learned Dictionary

Speckle Reduction on Ultrasound Liver Images Based on a Sparse Representation over a Learned Dictionary

Ultrasound images are corrupted with multiplicative noise known as speckle, which reduces the effectiveness of image processing and hampers interpretation. This paper proposes a multiplicative speckle suppression technique for ultrasound liver images, based on a new signal reconstruction model known...

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Bibliographic Details
Main Authors: Mohamed Yaseen Jabarulla, Heung-No Lee
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Applied Sciences
Subjects:
ultrasound
speckle reduction
medical image processing
sparse representation
K-singular value decomposition
dictionary learning
B-mode imaging
Online Access:http://www.mdpi.com/2076-3417/8/6/903

Internet

http://www.mdpi.com/2076-3417/8/6/903

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