A fast fixed point algorithm for total variation deblurring and segmentation

DOI10.1007/s10851-011-0298-7zbMath1255.68219OpenAlexW1975817866MaRDI QIDQ1932946

Hui Zhang, Li-Zhi Cheng, Dai-Qiang Chen

Publication date: 22 January 2013

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-011-0298-7

zbMATH Keywords

fixed pointimage segmentationimage deblurringproximity operator

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (9)

Fixed point algorithm based on adapted metric method for convex minimization problem with application to image deblurring ⋮ Primal-dual fixed point algorithm based on adapted metric method for solving convex minimization problem with application ⋮ Fixed-Point-like method for a new Total variation-based image restoration model ⋮ An algorithm for the split feasible problem and image restoration ⋮ Multiplicative denoising based on linearized alternating direction method using discrepancy function constraint ⋮ Primal-dual algorithm based on Gauss-Seidel scheme with application to multiplicative noise removal ⋮ An adaptive fixed-point proximity algorithm for solving total variation denoising models ⋮ A fixed-point algorithm for second-order total variation models in image denoising ⋮ Fixed-point algorithms for a TVL1 image restoration model

Uses Software

• RecPF

Cites Work

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