Adaptive multi-scale total variation minimization filter for low dose CT imaging

Autor:	Roman Krylov, Bibo Shi, Zhi Yang, Gene Katsevich, Alexander A. Zamyatin
Rok vydání:	2014
Předmět:	Acceleration Noise Compressed sensing Scale (ratio) Computer science business.industry Conjugate gradient method ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer vision Function (mathematics) Filter (signal processing) Artificial intelligence business
Zdroj:	Medical Imaging: Image Processing
ISSN:	0277-786X
DOI:	10.1117/12.2043841
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4cff1733131eaa5aa3ed39a199004cb0 https://doi.org/10.1117/12.2043841 Zobrazit plný text záznamu