Accession Number : ADA293416
Title : Image Representation Using Fast Algorithms Based on the Zak Transform.
Descriptive Note : Final technical paper Oct 90-Mar 94,
Corporate Author : DAYTON UNIV OH RESEARCH INST
Personal Author(s) : Geri, George A. ; Gertner, Izidor C.
PDF Url : ADA293416
Report Date : DEC 1994
Pagination or Media Count : 124
Abstract : Flight simulator imagery is often made up of natural scenes whose characteristics are not constant across the image. This property suggests that such imagery can be most efficiently represented by spectral techniques that use spatially localized basis functions. This report describes techniques for decomposing full gray-scale images into a joint position/spatial-frequency domain using bases derived from various window functions. The first set of window functions consists of the hermite functions which are related to gaussian derivatives. The second set is based on a new window function that is obtained from a weighted ZAK transform and that provides good localization properties and stable computation. The third set is based on a localized cosine function and allows images to be decomposed using real numbers only. All of the techniques described provide a framework for filtering images in a position-varying manner. For all the basis functions described here, image generation from combined position and spatial-frequency information involves a computationally intensive four-dimensional summation. By an application of the Zak Transform, we are able to replace this summation with a fast Fourier transform, this significantly reducing the complexity of the computation. (AN)
Descriptors : *ALGORITHMS, *IMAGE PROCESSING, COMPUTER PROGRAM DOCUMENTATION, SIGNAL PROCESSING, SPATIAL DISTRIBUTION, STABILITY, COMPUTATIONS, TWO DIMENSIONAL, FAST FOURIER TRANSFORMS, COMPUTER VISION, VISUAL PERCEPTION, DATA COMPRESSION, FLIGHT SIMULATORS, SPECIAL FUNCTIONS(MATHEMATICS), TIME DOMAIN, IMAGE REGISTRATION, GRAY SCALE, IMAGE RESTORATION, REAL NUMBERS, FOUR DIMENSIONAL.
Subject Categories : Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE