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IEE Proceedings - Vision, Image and Signal Processing

Issue 4 • Aug 1995

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Displaying Results 1 - 10 of 10
  • Skew-circular/circular correlation decomposition of prime-factor DCT

    Publication Year: 1995, Page(s):241 - 246
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (344 KB)

    An algorithm to decompose the prime-factor DCT into skew-circular/circular correlation (SCC/CC) by coset decomposition is proposed. The simplest case is when the two factors are odd and relatively prime. In this case, the DCT output components are split into six subgroups. Each subgroup contains three short-length CC or SCC matrix-vector products, and the three products can further be merged into ... View full abstract»

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  • Design of FIR filters with extra constraints using modified LMS algorithm

    Publication Year: 1995, Page(s):237 - 240
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (276 KB)

    An adaptive approach to the design of linear phase low-pass FIR filters with extra constraints on filter coefficients is presented. In this approach, the procedures using the LMS adaptive algorithm are modified to include the constraints on the filter coefficients. Numerical examples are presented and compared to the results obtained using least-square design in the frequency domain in which the f... View full abstract»

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  • Why illuminant direction is fundamental to texture analysis

    Publication Year: 1995, Page(s):199 - 206
    Cited by:  Papers (11)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (716 KB)

    The author shows that directed illumination used in the image acquisition process can act as a directional filter of three-dimensional texture. An image model of texture is presented which, given the illuminant vector, may be used to predict the directional characteristics of image texture. Simulations and the results of laboratory experiments are presented that confirm the predicted directional f... View full abstract»

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  • Fractional central moment method for movement-invariant object classification

    Publication Year: 1995, Page(s):213 - 219
    Cited by:  Papers (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (556 KB)

    Within the context of moment methods for movement-invariant feature vectors the authors derive a new `low-level' moment method capable of retaining scale and translation properties demonstrated by the alternative central moment low-level moment method. The new low-level moment method, denoted fractional central moments (FCM), provides a path for expressing the high-level moment method of pseudo-Ze... View full abstract»

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  • Approximating multirate estimation

    Publication Year: 1995, Page(s):232 - 236
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (256 KB)

    A scheme of approximating high rate estimates by low rate estimates using a filter bank is derived. The dimensions of the low rate measurement models are the same as the high rate measurement model and, due to the lowpass filtering effect of the filter bank, better approximated estimates are obtained View full abstract»

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  • Bias and variance calculation of a principal component based frequency estimator

    Publication Year: 1995, Page(s):247 - 251
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (304 KB)

    The authors address the performance evaluation of the state variable algorithm based on singular value decomposition in frequency estimation. The bias and the variance expressions of the estimated frequency are obtained analytically to study the characteristics and the performance of the algorithm with respect to the free parameters. The calculations are based on the second-order Taylor series app... View full abstract»

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  • Peano scanning based fast encoding algorithm for vector quantisation

    Publication Year: 1995, Page(s):193 - 198
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (404 KB)

    An effective method for encoding image-input blocks in vector quantisation (VQ) is proposed. For each codeword in the codebook, a group of Peano scannings of selected feature vectors is computed. Each Peano scanning acts as a transform from a higher dimension to one dimension, while preserving neighbourhood adjacency. An ordered list of the Peano scannings and their link to the codebook is stored.... View full abstract»

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  • Parallelising grey-scale coordinate transforms

    Publication Year: 1995, Page(s):207 - 212
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (480 KB)

    Methods of parallelising grey-scale coordinate transforms for medium-grained asynchronous parallel processors are considered. The thrice-skew rotation transform, polar and log-polar transforms can all be parallelised by an image-strip method. Where communication bandwidth is limited or some form of shared memory is available, an alternative method of parallelisation is presented. Details of comput... View full abstract»

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  • Minimax design of two-dimensional parallelogram filter banks

    Publication Year: 1995, Page(s):220 - 227
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (496 KB)

    The authors present a technique for the minimax design of two-dimensional (2-D) parallelogram filter bank (PFB) systems with linear-phase analysis/synthesis filters. To achieve perfect reconstruction, the required analysis filters must have parallelogram-shaped frequency responses. In general, the original design problem is found to be an optimisation problem with nonlinear constraints. The author... View full abstract»

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  • Separable 2-D filters for the detection of ramp edges

    Publication Year: 1995, Page(s):228 - 231
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (276 KB)

    The author examines the use of 1-D optimal convolution filters for the detection of ramp edges. The idea is to replace one 2-D convolution by two 1-D ones performed in sequence. The way the parameters of the 1-D filters have to be chosen so that the performance of the operation is not compromised is investigated. The author presents theoretical results and applies them to some real images to show ... View full abstract»

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