Abstract:
A signal processing system adapted for sparse representation of signals is provided, comprising: (i)one or more training signals; (ii) a dictionary containing signal-atoms; (iii) a representation of each training signal using a linear combination of said dictionary's signal-atoms; (iv) means for updating the representation of the training signal; (v) means for updating the dictionary one group of atoms at a time, wherein each atom update may include all representations referring to said updated atom; and (vi) means for iterating (iv) and (v) until a stopping rule is fulfilled. The system uses the K-SVD algorithm for designing dictionaries for sparse representation of signals.
Abstract:
An interactive system for obtaining data for diagnostic purposes from a server having access to stores of said data wherein the server supplies the data and software to a data requesting user that enables the user to receive the data progressively so as to decide during the receipt of the data what portions of the data are to be received thereby decreasing the time required to receive the data and that enables the user to load the software to process the supplied data.
Abstract:
A signal processing system adapted for sparse representation of signals is provided, comprising: (i)one or more training signals; (ii) a dictionary containing signal-atoms; (iii) a representation of each training signal using a linear combination of said dictionary's signal-atoms; (iv) means for updating the representation of the training signal; (v) means for updating the dictionary one group of atoms at a time, wherein each atom update may include all representations referring to said updated atom; and (vi) means for iterating (iv) and (v) until a stopping rule is fulfilled. The system uses the K-SVD algorithm for designing dictionaries for sparse representation of signals.
Abstract:
The subject matter discloses a method and apparatus for re-sampling a sequence of images in order to improve its resolution, fill-in missing pixels, or de-interlace it. The method operates locally in the images to be processed, comparing pixel values of pixels surrounding the target pixel to pixel values of substantially the same locations in neighboring images. The comparison results in assigning a weight value for each area compared with the area containing the reviewed pixel. The pixel value of the reviewed pixel is updated as a function of multiplying pixel values of the areas by the weight assigned to each area. In another embodiment, areas within the same image are compared to areas containing the reviewed pixel. The subject matter also discloses two possible penalty functions for improving the resolution of images.
Abstract:
The subject matter discloses a method and apparatus for re-sampling a sequence of images in order to improve its resolution, fill-in missing pixels, or de-interlace it. The method operates locally in the images to be processed, comparing pixel values of pixels surrounding the target pixel to pixel values of substantially the same locations in neighboring images. The comparison results in assigning a weight value for each area compared with the area containing the reviewed pixel. The pixel value of the reviewed pixel is updated as a function of multiplying pixel values of the areas by the weight assigned to each area. In another embodiment, areas within the same image are compared to areas containing the reviewed pixel. The subject matter also discloses two possible penalty functions for improving the resolution of images.
Abstract:
A method is provided for identifying printed objects associated with media objects. The method comprising: receiving a first plurality of images associated with a printed object; selecting a first image from the first plurality of images and comparing the image with a second plurality of stored images; identifying images included in the second plurality of images that could match the selected image; selecting a third plurality of images from the first plurality of images and estimating the movement that undergone by the camera prior to taking each of the third plurality of images; determining the degree of matching between images included in the third plurality of images, and images included in the second plurality of images; determining which of the second plurality of images, is the one that is most likely to comprise the printed object; and identifying the printed object to enable retrieving media objects associated therewith.
Abstract:
A method is provided for enabling identification of portions of a printed document from among a plurality of other portions which comprises the steps of: (i) providing a plurality of portions comprised in the printed document; (ii) selecting a first portion associated with the printed document; (iii) carrying out a comparative analysis between the first portion and at least one other portion selected from among the plurality of portions; (iv) based on the analysis results, determining a similarity factor for the selected first portion; and (v) if the similarity factor of the first portion is lower than a pre-defined value, allowing the association of one or more identification marks within that first portion.