Title
Adaptive Multi-Scale Total Variation Minimization Filter For Low Dose Ct Imaging
Keywords
Compressive sensing; Image denoising; Mutliresolution; Total Variation minimization
Abstract
In this work we revisit TV filter and propose an improved version that is tailored to diagnostic CT purposes. We revise TV cost function, which results in symmetric gradient function that leads to more natural noise texture. We apply a multi-scale approach to resolve noise grain issue in CT images. We examine noise texture, granularity, and loss of low contrast in the test images. We also discuss potential acceleration by Nesterov and Conjugate Gradient methods. © 2014 SPIE.
Publication Date
1-1-2014
Publication Title
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume
9034
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1117/12.2043841
Copyright Status
Unknown
Socpus ID
84902089782 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84902089782
STARS Citation
Zamyatin, Alexander; Katsevich, Gene; Krylov, Roman; Shi, Bibo; and Yang, Zhi, "Adaptive Multi-Scale Total Variation Minimization Filter For Low Dose Ct Imaging" (2014). Scopus Export 2010-2014. 9309.
https://stars.library.ucf.edu/scopus2010/9309