Abstract
We propose a simple but flexible method for solving the generalized vector-valued TV (VTV) functional with a nonnegativity constraint. One of the main features of this recursive algorithm is that it is based on multiplicative updates only and can be used to solve the denoising and deconvolution problems for vector-valued (color) images. This algorithm is the vectorial extension of the IRN-NQP (Iteratively Reweighted Norm Non-negative Quadratic Programming) algorithm [1] originally developed for scalar (grayscale) images, and to the best of our knowledge, it is the only algorithm that explicitly includes a non-negativity constraint for color images within the TV framework.
| Original language | English |
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| Pages (from-to) | 314-318 |
| Number of pages | 5 |
| Journal | European Signal Processing Conference |
| State | Published - 2010 |
| Event | 18th European Signal Processing Conference, EUSIPCO 2010 - Aalborg, Denmark Duration: 23 Aug 2010 → 27 Aug 2010 |