A novel adaptive probabilistic nonlinear denoising approach for enhancing PET data sinogram

DOI10.1155/2013/732178zbMath1271.94004DBLPjournals/jam/AlrefayaS13OpenAlexW2115259518WikidataQ59004097 ScholiaQ59004097MaRDI QIDQ364499

Hichem Sahli, Musa Alrefaya

Publication date: 9 September 2013

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/732178

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Scale selection for compact scale-space representation of vector-valued images
• Attracting basins for automorphisms of \(\mathbb{C}^2\)
• Filling-in by joint interpolation of vector fields and gray levels
• The Frequency Distribution of the Difference Between Two Poisson Variates Belonging to Different Populations

This page was built for publication: A novel adaptive probabilistic nonlinear denoising approach for enhancing PET data sinogram