An L 1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition

DOI10.1145/2766946zbMath1334.68278OpenAlexW2080794127MaRDI QIDQ2802310

Sai Bi, Yizhou Yu, Xiao-Guang Han

Publication date: 25 April 2016

Published in: ACM Transactions on Graphics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1145/2766946

zbMATH Keywords

sparse signal recoveryprobabilistic clusteringintrinsic imagespiecewise image flatteningsalient structures

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (2)

Combined window filtering and its applications ⋮ Convergence in variation for the multidimensional generalized sampling series and applications to smoothing for digital image processing

Cites Work

• Nonlinear total variation based noise removal algorithms
• A Bayesian analysis of some nonparametric problems
• Uncertainty Principles and Signal Recovery
• The Split Bregman Method for L1-Regularized Problems
• Signal Recovery and the Large Sieve
• Fast Global Image Smoothing Based on Weighted Least Squares
• Tree Filtering: Efficient Structure-Preserving Smoothing With a Minimum Spanning Tree
• Automatic Scene Inference for 3D Object Compositing
• Variational inference for Dirichlet process mixtures

This page was built for publication: An L ₁ image transform for edge-preserving smoothing and scene-level intrinsic decomposition