Biased anisotropic diffusion: a unified regularization and diffusion approach to edge detection
Image and Vision Computing - Special issue on the first ECCV 1990
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
Digital Image Processing
A Variational Approach to Semiautomatic Generation of Digital Terrain Models
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Adaptive coupled diffusion model for vessel image enhancement
International Journal of Computational Science and Engineering
Geometry of total variation regularized Lp-model
Journal of Computational and Applied Mathematics
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Several variational based diffusion filters are applied to measured magnetic resonance images, and on this basis are evaluated for their suitability to medical imaging. In particular, a specific total variation based filter with a convex variational penalty function is introduced here for the enhancement of edge, flat, and grey image scales. In general, results reveal that convex total variation based filters can be implemented to perform very well to enhance the visual clarity of medical images. As a result, further support is provided to establish such methods for medical applications.