A flexible multiscale and directional representation for images is proposed. The scheme combines directional filter banks with the Laplacian pyramid to provides a sparse represent...
This paper presents a new use of the Curvelet transform as a multiscale method for indexing linear singularities and curved handwritten shapes in documents images. As it belongs t...
Limited depth of eld is an important problem in microscopy imaging. 3D objects are often thicker than the depth of eld of the microscope, which means that it is optically impossib...
Linda Tessens, Alessandro Ledda, Aleksandra Pizuri...
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective...
This paper describes newly invented multiscale transforms known under the name of the ridgelet [6] and the curvelet transforms [9, 8]. These systems combine ideas of multiscale an...