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IEE Proceedings - Vision, Image and Signal Processing

Issue 3 • Date June 2000

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Displaying Results 1 - 13 of 13
  • High capacity image steganographic model

    Publication Year: 2000, Page(s):288 - 294
    Cited by:  Papers (76)  |  Patents (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (805 KB)

    Steganography is an ancient art of conveying messages in a secret way that only the receiver knows the existence of a message. So a fundamental requirement for a steganographic method is imperceptibility; this means that the embedded messages should not be discernible to the human eye. There are two other requirements, one is to maximise the embedding capacity, and the other is security. The least... View full abstract»

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  • Convergence performance of adaptive lattice filters with nonlinear parameter updates

    Publication Year: 2000, Page(s):238 - 246
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (364 KB)

    The convergence properties of adaptive lattice filters with nonlinear parameter updates have been analysed. The theoretical expressions for the convergence rate and the asymptotic error variance of the PARCOR coefficient are derived. Using these expressions, the convergence performance in the absence of impulsive noise is investigated and compared with those of the linear-type and sign-type adapti... View full abstract»

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  • Second-order H optimal LMS and NLMS algorithms based on a second-order Markov model

    Publication Year: 2000, Page(s):231 - 237
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (344 KB)

    It is shown that two algorithms obtained by simplifying a Kalman filter considered for a second-order Markov model are H suboptimal. Similar to least mean squares (LMS) and normalised LMS (NLMS) algorithms, these second order algorithms can be thought of as approximate solutions to stochastic or deterministic least squares minimisation. It is proved that second-order LMS and NLMS... View full abstract»

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  • Recursive total least squares algorithm for single-user blind channel equalisation

    Publication Year: 2000, Page(s):220 - 230
    Cited by:  Patents (18)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (556 KB)

    The problem of blind channel identification/equalisation using second-order statistics or equivalent deterministic properties of the oversampled channel output has attracted considerable attention. Deterministic blind subspace algorithms are particularly attractive because of their finite sample convergence property and because their solution can be obtained in closed form. Most subspace algorithm... View full abstract»

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  • Optimised feature map finite-state vector quantisation for image coding

    Publication Year: 2000, Page(s):266 - 270
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (324 KB)

    An optimised feature map finite-state vector quantisation (referred to as optimised FMFSVQ) is presented for image coding. Based on the block-based gradient descent search algorithm used for motion estimation in video coding, the optimised FMFSVQ system finds a neighbourhood-based optimal codevector for each input vector by extending the associated state codebook stage by stage, thus rendering eac... View full abstract»

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  • Genetic algorithms for feature selection in machine condition monitoring with vibration signals

    Publication Year: 2000, Page(s):205 - 212
    Cited by:  Papers (21)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (508 KB)

    Artificial neural networks (ANNs) can be used successfully to detect faults in rotating machinery. Using statistical estimates of the vibration signal as input features. In any given scenario, there are many different possible features that may be used as inputs for the ANN. One of the main problems facing the use of ANNs is the selection of the best inputs to the ANN, allowing the creation of com... View full abstract»

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  • Low distortion speech enhancement

    Publication Year: 2000, Page(s):247 - 253
    Cited by:  Papers (18)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (328 KB)

    An innovative approach to speech enhancement is illustrated which minimises distortion to the underlying speech during the noise-reduction process. The key to this approach lies in the identification of whether the additive noise for a particular frequency component is constructive or destructive. Once this can be identified both multiplicative and subtractive filters can be derived using the mini... View full abstract»

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  • Locally adaptive conductance in geometry-driven-diffusion filtering of magnetic resonance tomograms

    Publication Year: 2000, Page(s):271 - 282
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (844 KB)

    A novel methodology for locally adapting the exponential conductance in geometry-driven diffusion (GDD) is proposed which employs pixel dissimilarity measures. Two alternative approaches are developed; both are based on a transient interval, within which the relaxation parameter K is selected. In the first case, the limits of the interval are derived from global quantiles of the intensity gradient... View full abstract»

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  • Decision feedback equaliser design using support vector machines

    Publication Year: 2000, Page(s):213 - 219
    Cited by:  Papers (17)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (356 KB)

    The conventional decision feedback equaliser (DFE) that employs a linear combination of channel observations and past decisions is considered. The design of this class of DFE is to construct a hyperplane that separates the different signal classes. It is well known that the popular minimum mean square error (MMSE) design is generally not the optimal minimum bit error rate (MBER) solution. A strate... View full abstract»

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  • Proposal of standards for intelligibility tests of Chinese speech

    Publication Year: 2000, Page(s):254 - 260
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (348 KB)

    The authors propose standards for evaluating the intelligibility of coded, synthesised or distorted Chinese speech over a wired or wireless voice channel in a communication system. The standards are based on the English equivalent diagnostic rhyme test (DRT) and modified rhyme test (MRT). The relative features of Chinese phonetics are outlined and the underlying principles of choosing phonetic uni... View full abstract»

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  • Signal-dependent film grain noise generation using homomorphic adaptive filtering

    Publication Year: 2000, Page(s):283 - 287
    Cited by:  Papers (1)  |  Patents (40)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (408 KB)

    A technique for the generation of signal-dependent film grain noise is presented. It finds applications in television and motion picture productions where artificial film grain noise is added to computer-generated synthetic images to give them a realistic appearance. After decoupling the signal from the noise, using the generalised homomorphic transformation, the noise is removed from the noisy im... View full abstract»

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  • Universal perceptual weighted zerotree coding for image and video compression

    Publication Year: 2000, Page(s):261 - 265
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (340 KB)

    A universal representation for the perceptual weighted zerotree coding algorithm is developed, in which the perceptual weighted zerotree coding is decomposed into two separate parts, i.e. visual weighting and zerotree representation, which can be realised independently. Prior to zerotree processing, the extracted full-tree is weighted by using a visual weighting matrix. Any zerotree algorithm like... View full abstract»

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  • Restricted-structure linear estimators for multiple-model systems

    Publication Year: 2000, Page(s):193 - 204
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (612 KB)

    A new class of discrete-time optimal linear estimators is introduced for multiple-model systems that minimises a minimum-variance criterion but where the structure is prespecified to have a simple low-order form. The restricted-structure estimator can be of much lower order than a Kalman (1961) or Wiener (1949) estimator and it minimises the estimation-error variance, subject to the constraint ref... View full abstract»

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