Convolutional Dictionary Learning for Tomographic Reconstruction (Cristina Garcia-Cardona, LANL)
Convolutional Dictionary Learning for Tomographic Reconstruction (Cristina Garcia-Cardona, LANL)
Convolutional sparse representation is an efficient tool for computing sparse representations for entire signals in terms of sums of a set of convolutions with dictionary filters. Unlike representations that are based on overlapping image patches, the convolutional representation optimizes over the entire image, yielding representations that are very sparse both spatially and across the filters. […]