We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores. Combining approximate Bayesian inference and natural ima...
Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann,...
Latent fingerprint identification is of critical importance in forensics. While tremendous progress has been made in the field of automatic fingerprint identification, latent...
Abstract. The scale invariant property of an ensemble of natural images is examined which motivates a new early visual representation termed the higher order pyramid. The represent...
Modelling textured images as AM-FM functions has been applied during the last years to texture analysis and segmentation tasks. In this paper we present some advances in two direc...
Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....