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A Localized Hybrid Penalization Method for Simultaneous Data Reconstruction and Biase Field Correction

Authors:
Linghai Kong

Keywords: Localized Regularization Method; Mixed Laplace-Gaussian Noise; ALM; EM; Data Reconstruction; Bias correction

Abstract:
A new variational model is dedicated to simultaneous image reconstruction and bias field rectification, where the image is corrupted by mixed Laplace-Gaussian noise. To solve the model numerically, an adaptive augmented Lagrangian mehod is combined with the expectation maximi- zation strategy. Some numerical results are also presented to validate the proposed model and algorithm.

Pages: 8 to 11

Copyright: Copyright (c) IARIA, 2019

Publication date: September 22, 2019

Published in: conference

ISSN: 2308-4499

ISBN: 978-1-61208-737-5

Location: Porto, Portugal

Dates: from September 22, 2019 to September 26, 2019