Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Anisotropic diffusion of surfaces and functions on surfaces
ACM Transactions on Graphics (TOG)
Mesh Smoothing via Mean and Median Filtering Applied to Face Normals
GMP '02 Proceedings of the Geometric Modeling and Processing — Theory and Applications (GMP'02)
Non-iterative, feature-preserving mesh smoothing
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2003 Papers
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Deringing cartoons by image analogies
ACM Transactions on Graphics (TOG)
Real-time edge-aware image processing with the bilateral grid
ACM SIGGRAPH 2007 papers
Edge-preserving decompositions for multi-scale tone and detail manipulation
ACM SIGGRAPH 2008 papers
Edge-preserving multiscale image decomposition based on local extrema
ACM SIGGRAPH Asia 2009 papers
Smoothed local histogram filters
ACM SIGGRAPH 2010 papers
Image smoothing via L0 gradient minimization
Proceedings of the 2011 SIGGRAPH Asia Conference
Bilateral Normal Filtering for Mesh Denoising
IEEE Transactions on Visualization and Computer Graphics
A fast approximation of the bilateral filter using a signal processing approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Fast and Effective Feature-Preserving Mesh Denoising
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Information Theory
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Structure extraction from texture via relative total variation
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Mesh denoising via L0 minimization
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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Feature-preserving filtering is a fundamental tool in computer vision and graphics, which can smooth input signal while preserving its sharp features. Recently, a piecewise smooth model called L"0 gradient minimization, has been proposed for feature-preserving filtering. Through optimizing an energy function involving gradient sparsity prior, L"0 gradient minimization model has strong ability to keep sharp features. Meanwhile, due to the non-convex property of L"0 term, it is a challenge to solve the L"0 gradient minimization problem. The main contribution of this paper is a novel and efficient approximation algorithm for it. The energy function is optimized in a fused coordinate descent framework, where only one variable is optimized at a time, and the neighboring variables are fused together once their values are equal. We apply the L"0 gradient minimization in two applications: (i) edge-preserving image smoothing (ii) feature-preserving surface smoothing, and demonstrate its good performance.