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IEE Colloquium on Applications of Wavelet Transforms in Image Processing

20 Jan 1993

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  • IEE Colloquium on `Applications of Wavelet Transforms in Image Processing' (Digest No.009)

    Publication Year: 1993
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (124 KB)

    The following topics were dealt with: motion-compensated wavelet coding; multidimensional wavelet design; signal decomposition by scale; nonuniform nonstationary wavelets; higher-order wavelets; wavelet filter design and applications View full abstract»

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  • Wavelets?

    Publication Year: 1993, Page(s):1/1 - 1/6
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (380 KB)

    This introductory paper explains the principles of representation of one-dimensional functions, comparing the wavelet and Fourier transforms, and discussing the progression to two-dimensional image processing by quadrature mirror filters View full abstract»

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  • Motion-compensated wavelet coding using adaptive vector quantisation

    Publication Year: 1993, Page(s):2/1 - 2/4
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (212 KB)

    This paper, proposes an image sequence coding scheme which combines wavelet decomposition and multiscale motion detection and compensation. The wavelet transform decomposes a image onto a set of orthogonal bases and results in a group of subimages with varying resolutions corresponding to the different frequency characteristics. The redundancy between successive frames of a image sequence can be r... View full abstract»

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  • Non-uniform non-stationary wavelets

    Publication Year: 1993
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (36 KB)

    Summary form only given. This presentation develops a framework suitable for performing a multiresolution analysis using univariate spline spaces of arbitrary degree and non-uniform node sequences. Using the basic properties of B-splines defined on an arbitrary grid, it is possible to generalize the construction of spline wavelets to arbitrary nodes (simple or even multiple). In some particular in... View full abstract»

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  • Multidimensional wavelet design using generalised transformations

    Publication Year: 1993, Page(s):3/1 - 3/6
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (860 KB)

    A method of designing wavelets in multiple dimensions, which is flexible enough to yield good filters while not requiring any sophisticated numerical optimisation processes, is based on designing a set of 1-D polynomials which guarantee perfect reconstruction, and then transforming these into the desired multi-D z domain via a transformation which satisfies a few simple constraints. The a... View full abstract»

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  • Wavelants-an introduction to higher order wavelets

    Publication Year: 1993, Page(s):7/1 - 7/4
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (212 KB)

    Wavelants combine the work of high order statistics, and wavelet theory to produce new tools for analysis of signals in nonGaussian corrupted environments or Gaussian correlated scenarios. However, the extra degree of freedom of the scaling parameter gives the ability to handle additional multi-dimensional problems. This will is discussed and illustrated by examples View full abstract»

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  • Decomposition of signals by scale using nonlinear filters

    Publication Year: 1993, Page(s):4/1 - 4/4
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (596 KB)

    This paper is concerned with a general purpose, multiscale decomposition, namely the datasieve. It is designed specifically to yield multiscale primitives suitable for pattern recognition. The datasieve is appropriate for isolating and locating the position of objects with sharp edges arising from nonlinear events. A typical example is the image due to one object partially occluding another. It ca... View full abstract»

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  • Wavelet transforms in a digital video tape recorder (DVTR)

    Publication Year: 1993, Page(s):10/1 - 10/7
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (420 KB)

    The primary aim of the project is to record CCIR 601 digital video data compressed by factors in the range of 4:1 to 8:1 onto a video tape recorder. The starting point was the JPEG still picture transmission specification using the 3 basic compression element pairs: a decorrelator/correlator (in JPEG this is the DCT/IDCT combination), a linear quantiser/dequantiser which removes less visible pictu... View full abstract»

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  • The design and application of four-tap wavelet filters

    Publication Year: 1993, Page(s):9/1 - 9/4
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (140 KB)

    The design of a simple four-tap filter is considered. The simplest four-tap low-pass filter, the four term averager, has the coefficients 1/2, 1/2, 1/2, 1/2. Chosen for their simplicity and also because the low-pass filter is then orthogonal to its complementary highpass filter. This general design allows the properties of the magnitude and phase responses to be readily determined View full abstract»

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  • Image analysis using a generalised wavelet transform

    Publication Year: 1993, Page(s):8/1 - 8/4
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (264 KB)

    In a novel form of wavelet transform (WT) the link between scale and frequency is removed, which provides a degree of shift invariance. Known as the multiresolution Fourier transform (MFT), this resembles a stack of windowed Fourier transforms (WET) in which the window size is varied systematically to give a multiresolution representation of the space-frequency plane. As such, it constitutes a sup... View full abstract»

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