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IET Image Processing

Issue 3 • Date June 2009

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Displaying Results 1 - 6 of 6
  • Image colourisation using graph-based semi-supervised learning

    Publication Year: 2009, Page(s):115 - 120
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (255 KB)

    A novel colourisation algorithm using graph-based semi-supervised learning (SSL) is presented. We show that the assumption of the colourisation problem is consistent with the fundamental of graph-based SSL methods. Satisfactory results are obtained in the experiments that validate the proposed algorithm. To reduce the time and memory requirements when dealing with large scale images, we further pr... View full abstract»

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  • Fast video shot boundary detection framework employing pre-processing techniques

    Publication Year: 2009, Page(s):121 - 134
    Cited by:  Papers (16)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (696 KB)

    Video shot boundary detection is the initial and fundamental step towards video indexing, browsing and retrieval. Great efforts have been paid on developing accurate shot boundary detection algorithms. However, the high computational cost in shot detection becomes a bottleneck for real-time applications. The problem of making a balance between detection accuracy and speed is addressed in this pape... View full abstract»

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  • Spectral sensitivity design for maximum colour separation in artificial colour systems

    Publication Year: 2009, Page(s):135 - 146
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1252 KB)

    Engineers have utilised spectral information and have steadily improved its applications in imaging systems for more than a century. The course of technological developments in colour imaging has been dictated by system improvements measured by their efficacy for direct human consumption. It seems reasonable to us to try to emulate nature and boost capabilities of machine vision systems by optimis... View full abstract»

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  • Spatially adaptive thresholding in wavelet domain for despeckling of ultrasound images

    Publication Year: 2009, Page(s):147 - 162
    Cited by:  Papers (11)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1264 KB)

    Ultrasound imaging is widely used for diagnostic purposes among the clinicians. A major problem concerning the ultrasound images is their inherent corruption by the multiplicative speckle noise that hampers the quality of the diagnosis, and reduces the efficiency of the algorithms for automatic image processing. In this paper, we propose a new spatially adaptive wavelet-based method in order to re... View full abstract»

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  • Image denoising using 2-D separable oversampled DFT modulated filter banks

    Publication Year: 2009, Page(s):163 - 173
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (486 KB)

    The direction-frequency selectivity of two-dimensional (2-D) separable oversampled discrete Fourier transform (DFT) modulated filter banks, showing that such 2-D filter banks can provide fine frequency tiling and efficient image representations with direction-frequency selectivity, is analysed. Moreover, the doubly local Wiener filtering is extended to the case using two 2-D separable oversampled ... View full abstract»

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  • Comments on 'new family of lapped biorthogonal transform via lifting steps'

    Publication Year: 2009, Page(s):174 - 175
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (118 KB)

    An unaddressed problem with Cheng's design is pointed out from the filter viewpoint: the first few basis functions do not decay smoothly to zero at the end, which may increase blocking artefacts, especially at low bit rates. View full abstract»

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Aims & Scope

The range of topics covered by IET Image Processing includes areas related to the generation, processing and communication of visual information.

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