Edge detection in multispectral images
CVGIP: Graphical Models and Image Processing
Images as Embedded Maps and Minimal Surfaces: Movies, Color, Texture, and Volumetric Medical Images
International Journal of Computer Vision - Special issue on computer vision research at the Technion
Diffusions and Confusions in Signal and Image Processing
Journal of Mathematical Imaging and Vision
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A general framework for low level vision
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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This paper addresses the problem of feature enhancement in noisy images when the feature is known to be constrained to a manifold. As an example, we study the problem of direction denoising. This problem was treated recently and several solutions were proposed. The various solutions share the same structure. They are composed of two terms: A diffusion term and a projection term. Analytically, the solutions differ in the diffusion part. The projection part is equivalent in all works. Yet, as it is often the case, the analytically equivalent projection terms differ from a numerical viewpoint. We present in this work a new parameterization of the problem that enables us to work always in a numerically stable way.