A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

DOI10.1137/080716542zbMath1175.94009OpenAlexW2100556411MaRDI QIDQ150994

Amir Beck, Marc Teboulle, Amir Beck, Marc Teboulle

Publication date: January 2009

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/bcf48b5e76c7e22335c6820f0de0abe8c5f708b5

zbMATH Keywords

deconvolutionlinear inverse problemimage deblurringglobal rate of convergenceoptimal gradient methoditerative shrinkage-thresholding algorithmleast squares and \(l_1\) regularization problemstwo-step iterative algorithms

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• Regularization tools