Blind deconvolution algorithms for medical ultrasound imaging
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Date of Issue
2007School
School of Electrical and Electronic Engineering
Abstract
This thesis focuses on the development of novel blind deconvolution algorithms for medical ultrasound imaging. Three different algorithms were designed for restoration of the tissue image. These are the constrained least squares filter, the discrete nonorthogonal wavelet transform, and the symmetrical mirror wavelet solution.
Subject
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Type
Thesis
Rights
Nanyang Technological University
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