The cookie-related information is fully under our control. These cookies are not used for any purpose other than those described here. Unibo policy
We present the problem of simultaneously increasing the spatial resolution and deconvolving channels of hyperspectral images where the blurring kernels are unknown. A high resolution image is incorporated into a directional total variation prior for the corresponding variational model. The non-smoothness and non-convexity of the objective function is treated using the PALM-algorithm. Numerical results on remote sensing data show the potential of the proposed method and suggest that it is robust with respect to mis-registration.
This presentation is part of Minisymposium “MS55 - Advances of regularization techniques in iterative reconstruction (2 parts)”
organized by: Zichao (Wendy) Di (Argonne National Lab) , Marc Aurèle Gilles (Cornell University) .