Despeckling of Ultrasound Images Using Block Matching and SVD in Sparse Representation

Despeckling of Ultrasound Images Using Block Matching and SVD in Sparse Representation

This work proposes a novel scheme for speckle suppression on medical images acquired by ultrasound sensors. The proposed method is based on the block matching procedure by using mutual information as a similarity measure in grouping patches in a clustered area, originating a new despeckling method t...

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Bibliographic Details
Main Authors: Aranda-Bojorges, G.H (Author), Cruz-Ramos, C. (Author), Garcia-Salgado, B.P (Author), Ponomaryov, V. (Author), Reyes-Reyes, R. (Author), Sadovnychiy, S. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
block matching
Block Matching
denoising
De-noising
De-speckling
Image denoising
Image enhancement
Image segmentation
Local binary pattern
Medical imaging
Motion compensation
mutual information
Mutual informations
Performance
singular value decomposition
Singular value decomposition
Sparse representation
speckle
Speckle
Speckle suppression
superpixel segmentation
Superpixel segmentations
Superpixels
Textures
Ultrasonics
ultrasound image
Ultrasound images
ultrasound sensors
Ultrasound sensors
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