The application of the wavelet transform in image processing is most frequently based on a separable transform. Lines and columns in an image are treated independently and the bas...
Pier Luigi Dragotti, Vladan Velisavljevic, Martin ...
Abstract. The wavelet transform is a widely used pre-filtering step for subsequent R spike detection by thresholding of the coefficients. The time-frequency decomposition is indeed...
Gael de Lannoy, Arnaud de Decker, Michel Verleysen
It is now widely acknowledged that analyzing the intrinsic geometrical features of the underlying image is essential in many applications including image processing. In order to a...
Three-directional box-splines are particularly well-suited to interpolate and approximate hexagonally sampled data. In this paper, we propose a computationally efficient end-toend...
Laurent Condat, Dimitri Van De Ville, Michael Unse...
Preprocessing, a major component of Character Recognition System, has direct effect on the recognition system by its performance. Using wavelet transform, this paper mainly focuse...