Other

International Business Machines Corporation

Intel Corporation

Medic Vision-imaging Solutions Ltd.

Medic Vision-brain Technologies Ltd.

Guy Rosman

Ron Kimmel

Michael Bronstein

Alexander Bronstein

Zvi Devir

Tal Kenig

Eliran Dahan

Ezer Bar-Aviv

Doron Tal

Asaf Tzadok

A method for multidimensional scaling (MDS) of a data set comprising a plurality of data elements is provided, wherein each data element is identified by its coordinates, the method comprising the steps of: (i) applying an iterative optimization technique, such as SMACOF, a predetermined amount of times on a coordinates vector, said coordinates vector representing the coordinates of a plurality of said data elements, and obtaining a modified coordinates vector; (ii) applying a vector extrapolation technique, such as Minimal Polynomial Extrapolation (MPE) or reduced Rank Extrapolation (RRE) on said modified coordinates vector obtaining a further modified coordinates vector; and (iii) repeating steps (i) and (ii) until one or more predefined conditions are met.

Acceleration of multidimensional scaling by vector extrapolation techniques

A method of producing a denoised medical image at a specified resolution, comprising: a) denoising an original medical image acquired at a resolution higher than the specified resolution; and b) reducing the resolution of the image, after denoising, to the specified resolution, using a nonlinear resolution reduction procedure that preserves more fine detail in the image than a linear resolution reduction procedure would.

Denoising medical images

A method of reducing noise in an image, comprising: a) for each pixel being examined in the image, selecting a set of search pixels; b) calculating a value of one or more features of a neighborhood of each search pixel, and a value of corresponding features of a neighborhood of the pixel being examined; and c) calculating a reduced noise grey value for each pixel being examined, based on raw or transformed grey values of its search pixels, with greater sensitivity to those with one or more feature values similar to those of the pixel being examined; wherein calculating the value of at least one feature comprises calculating a characteristic of a distribution of raw or transformed grey values of pixels in the neighborhood, other than a mean grey value of all pixels in the neighborhood.

Noise reduction of images

A novel and useful method of processing digital images to correct distortion caused by a sheet-fed scanner. The method of the present invention derives a model which estimates the distortion. Match points are detected in the digital image and compared to match points of pre-defined templates. Treating the relative locations of the detected match points as polar coordinates (as opposed to Cartesian coordinates) enables a model to be derived to correct the distortion. In the event that there are multiple distortions to the digital image the digital image is partitioned into segments, with a separate model derived for each segment.

Method of correcting digital image distortion caused by a sheet-fed scanner

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Haifa, Israel

Guy Rosman