Multivalue image curvatures: application to color image denoising and feature detecting

In the present work we modelize multi-values 2D images as surfaces embbeded in space-features space. Using the differential geometric framework we then introduce an original definition of multi-values image curvatures. First we use these curvatures to detect valleys and ridges in color images. Then we generate a new non-linear color scale space based on a mean curvature flow. It leads to a powerful tool for denoising color images.

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