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» Rapid Anisotropic Diffusion Using Space-Variant Vision
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TIP
1998
103views more  TIP 1998»
13 years 6 months ago
Orientation diffusions
Abstract—Diffusions are useful for image processing and computer vision because they provide a convenient way of smoothing noisy data, analyzing images at multiple scales, and en...
Pietro Perona
CVPR
2005
IEEE
13 years 12 months ago
Speckle-Constrained Filtering of Ultrasound Images
Ultrasound images provide the clinician with noninvasive, low cost, and real-time images that can help them in diagnosis, plannnig and therapy. However, although the human eye is ...
Karl Krissian, Ron Kikinis, Carl-Fredrik Westin, K...
CVPR
2009
IEEE
15 years 1 months ago
Curvature and Singularity Driven Diffusion for Oriented Pattern Enhancement with Singular Points
Oriented patterns, e.g. fingerprints, consist of smoothly varying flow-like patterns, together with important singular points (i.e. cores and deltas) where the orientation change...
Qijun Zhao (The Hong Kong Polytechnic University),...
VLSM
2005
Springer
13 years 11 months ago
Towards PDE-Based Image Compression
While methods based on partial differential equations (PDEs) and variational techniques are powerful tools for denoising and inpainting digital images, their use for image compress...
Irena Galic, Joachim Weickert, Martin Welk, Andr&e...
GRAPHICSINTERFACE
2000
13 years 7 months ago
Anisotropic Feature-Preserving Denoising of Height Fields and Bivariate Data
In this paper, we present an efficient way to denoise bivariate data like height fields, color pictures or vector fields, while preserving edges and other features. Mixing surface...
Mathieu Desbrun, Mark Meyer, Peter Schröder, ...