Abstract: A method for supervised classification of cells contained in first and second different microscopy image formats preprocessing carried out on the basis of the first and second different image formats aiming to characterize their cell-related visual content and to transform the content into digital data; and executing a UNN algorithm-related code with the aim of processing the digital data.

Abstract: Method for measuring the dissimilarity between a first and a second images, including the following steps: a) multiresolution decomposition of the first and the second images to obtain coefficients of the first and of the second images, each coefficient being function of a scale and a location in space; b) constitution of the patches for the first and the second images; c) evaluation of the dissimilarity between the probability density functions of patches having a given scale and belonging to the first image and of patches having the same scale and belonging to the second image, the dissimilarity being a partial measure of the dissimilarity between the first and the second images; and a method for measuring the dissimilarity between a first and second video sequences, the method following a similar multi-scale approach based on sparse intrascale/interscale/interchannel patches and additionally taking motion into account.

Abstract: Method for measuring the dissimilarity between a first and a second images, including the following steps: a) multiresolution decomposition of the first and the second images to obtain coefficients of the first and of the second images, each coefficient being function of a scale and a location in space; b) constitution of the patches for the first and the second images; c) evaluation of the dissimilarity between the probability density functions of patches having a given scale and belonging to the first image and of patches having the same scale and belonging to the second image, the dissimilarity being a partial measure of the dissimilarity between the first and the second images; and a method for measuring the dissimilarity between a first and second video sequences, the method following a similar multi-scale approach based on sparse intrascale/interscale/interchannel patches and additionally taking motion into account.

Abstract: The invention concerns a process for decompression of compressed animated images with a method including treatment of images in blocks and containing a digital data recomposition phase defining predefined forms, a phase modeling the movement of these forms using a process of prediction, interpolation and temporal compensation, an image composition phase from reconstructed elements of JPEG or MPEG type motion, characterized by the fact that the form recomposition phase includes a process for separating fixed forms from mobile forms, a process for recording digital data corresponding to the fixed forms treated by a filter not separable from the processes implemented in the recomposition phase in a first specific memory unit and digital data corresponding to mobile forms in a second specific memory unit.