Homomorphic wavelet shrinkage and feature emphasis for speckle reduction and enhancement of echocardiographic images | Zendy

Xuli Zong | Zendy; Edward A. Geiser | Zendy; Andrew F. Laine | Zendy; David C. Wilson | Zendy

Open Access

<title>Homomorphic wavelet shrinkage and feature emphasis for speckle reduction and enhancement of echocardiographic images</title>

Author(s) -

Xuli Zong,

Edward A. Geiser,

Andrew F. Laine,

David C. Wilson

Publication year - 1996

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.237969

Subject(s) - speckle noise , speckle pattern , wavelet , artificial intelligence , thresholding , feature (linguistics) , computer science , multiplicative noise , wavelet transform , pattern recognition (psychology) , noise (video) , computer vision , noise reduction , algorithm , mathematics , image (mathematics) , telecommunications , linguistics , philosophy , signal transfer function , analog signal , transmission (telecommunications)

An approach for speckle reduction and feature enhancement under a framework of multiscale wavelet analysis ispresented. The advantages of both soft thresholding and hard thresholding wavelet shrinkage techniques are utilizedto eliminate noise and preserve the sharpness of salient features. We integrate a method of wavelet shrinkage withnonlinear processing to enhance contrast within structures and along object boundaries. Feature restoration andenhancement are accomplished by modifying the...

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