Abstract
In this chapter we generalize the ideas of previous chapters in order to construct variable-conductance diffusion processes that are sensitive to higher-order image structure. To do this we consider anisotropic diffusion as one instance of a whole class of processes that blur images while preserving certain kinds of interesting structure.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1994 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Whitaker, R., Gerig, G. (1994). Vector-Valued Diffusion. In: ter Haar Romeny, B.M. (eds) Geometry-Driven Diffusion in Computer Vision. Computational Imaging and Vision, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1699-4_4
Download citation
DOI: https://doi.org/10.1007/978-94-017-1699-4_4
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4461-7
Online ISBN: 978-94-017-1699-4
eBook Packages: Springer Book Archive