Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

1088 results about "Image representation" patented technology

Image-level representation is a (numerical) way to represent an image without a direct pixel representation. For example, one could represent an image by its histograms of luminance and chroma values, or by its Fourier transform, or by any other statistical measure. Such a representation helps compare images or detect specific features.

Progressive image transmission using discrete wavelet transforms

Disclosed herein is a method of storing and of progressively transferring a still image so that it can be conveniently previewed during the transfer and so that a user can terminate the transfer at an early stage if the image turns out to be undesirable. The methods of the invention include transforming the image into a plurality of decomposition levels using a discrete wavelet transform. Each decomposition level comprises a plurality of subimages which allow reconstruction of an image representation of the still image. The decomposition levels are transmitted beginning with a base decomposition level providing a low level of image resolution and then proceeding with decomposition levels providing increasingly higher levels of image resolution. Within each decomposition level, rows of the various subimages are arranged or interlaced together in contiguous blocks, so that all data for a single row, at a single decomposition level, is transmitted together. At the receiving end of the transfer, the row blocks are reconstructed and displayed as they are received. The invention enables the initial display of a low resolution image which is gradually updated and sharpened, on a row-by-row basis, until a desired high resolution is achieved. The user may terminate the transfer at any point.
Owner:MICROSOFT TECH LICENSING LLC

Method for autostereoscopically producing three-dimensional image information from scanned sub-pixel extracts and device for carrying out said method

A method for autostereoscopically producing three-dimensional image information from scanned subpixel extracts uses a multiplex track method (MTV) having a separating raster (TR) obliquely extended with respect to a matrix screen (MB) and an electronic tracking (TS) of viewing areas ibased on two separated image views (L, R), that adjacently disposes two or three subpixels (SP) of each pixel (P) of the two image views (L, R) in the actual subpixel extraction (SPA), continuously and alternatingly preserving each subpixel address and disposes said subpixels (SP) in an overlapping manner on each other with an offset, whereby the resolution loss effects the subpixels (SP) only. The crosstalk resulting from the inclination of the separating raster (TR) is reduced by a special structure of the subpixel extraction (SPA), wherein the resolution homogenisation in two directions of the screen is simultaneously preserved. The formation of the actual subpixel extraction (SPA) is carried out according to multiplex schemes (MUXi) predetermined according to an observer actual position. One or several observers can be electronically tracked subject to the distance thereof from the matrix screen (MB), and the image representation can be adapted therefor.
Owner:FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG EV

Image Reconstruction Methods Based on Block Circulant System Matrices

An iterative image reconstruction method used with an imaging system that generates projection data, the method comprises: collecting the projection data; choosing a polar or cylindrical image definition comprising a polar or cylindrical grid representation and a number of basis functions positioned according to the polar or cylindrical grid so that the number of basis functions at different radius positions of the polar or cylindrical image grid is a factor of a number of in-plane symmetries between lines of response along which the projection data are measured by the imaging system; obtaining a system probability matrix that relates each of the projection data to each basis function of the polar or cylindrical image definition; restructuring the system probability matrix into a block circulant matrix and converting the system probability matrix in the Fourier domain; storing the projection data into a measurement data vector; providing an initial polar or cylindrical image estimate; for each iteration; recalculating the polar or cylindrical image estimate according to an iterative solver based on forward and back projection operations with the system probability matrix in the Fourier domain; and converting the polar or cylindrical image estimate into a Cartesian image representation to thereby obtain a reconstructed image.
Owner:SOCPRA SCI SANTE & HUMAINES S E C
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products