Sparsity promoting regularization for effective noise suppression in SPECT image reconstruction

DOI10.1088/1361-6420/ab23dazbMath1447.92215OpenAlexW2944887911WikidataQ127844939 ScholiaQ127844939MaRDI QIDQ4973544

Andrzej Król, Xueying Zeng, Wei Zheng, C. Ross Schmidtlein, Yuesheng Xu, Si Li

Publication date: 28 November 2019

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://digitalcommons.odu.edu/mathstat_fac_pubs/161

zbMATH Keywords

denoisingnonconvex nonsmooth optimizationapproximate sparsitySPECT image reconstructionstaircase artifact

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (5)

Inverting incomplete Fourier transforms by a sparse regularization model and applications in seismic wavefield modeling ⋮ Convergence rate analysis for fixed-point iterations of generalized averaged nonexpansive operators ⋮ Sparse regularization with the ℓ0 norm ⋮ Unnamed Item ⋮ An accelerated majorization-minimization algorithm with convergence guarantee for non-Lipschitz wavelet synthesis model ^*

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