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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Journal of mathematical imaging and vision 1 (1992), S. 201-213 
    ISSN: 1573-7683
    Keywords: matrix algebra ; image algebra ; Hadamard Transform ; image processing
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract In this paper we develop the notion of a generalized matrix product that includes in its formulation the common matrix and vector products of linear algebra. After defining the generalized matrix product and investigating some of its properties, we provide some specific examples of its use in image processing.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of mathematical imaging and vision 12 (2000), S. 183-197 
    ISSN: 1573-7683
    Keywords: hexagonal aggregates ; fast Fourier transforms ; generalized balanced ternary ; p-product ; algorithm
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Hexagonal aggregates are hierarchical arrangements of hexagonal cells. These hexagonal cells may be efficiently addressed using a scheme known as generalized balanced ternary for dimension 2, or GBT2. The objects of interest in this paper are digital images whose domains are hexagonal aggregates. We define a discrete Fourier transform (DFT) for such images. The main result of this paper is a radix-7, decimation-in-space fast Fourier transform (FFT) for images defined on hexagonal aggregates. The algorithm has complexity N log7 N. It is expressed in terms of the p-product, a generalization of matrix multiplication. Data reordering (also known as shuffle permutations) is generally associated with FFT algorithms. However, use of the p-product makes data reordering unnecessary.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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