3 accepted papers
Multiband fusion involves combining an image having high spatial and low spectral resolution with another image having low spatial and high spectral resolution—resulting in a single multiband image with high spatial and spectral resolutions. In classical variational techniques, this problem is formu…
We consider the problem of signal reconstruction from linearly corrupted data using plug-and-play (PnP) regularization. As opposed to traditional sparsity-promoting regularizers, PnP uses an off-the-shelf denoiser within a proximal algorithm such as ISTA or ADMM for image reconstruction. Although Pn…
We propose a fast algorithm for an adaptive variant of the classical bilateral filter, where the range kernel is allowed to vary from pixel to pixel. Several fast and accurate algorithms have been proposed for bilateral filtering, but they assume that the same range kernel is used at each pixel and…