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IEE Proceedings - Vision, Image and Signal Processing

Issue 2 • 30 April 2004

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Displaying Results 1 - 7 of 7
  • Edge image description using angular radial partitioning

    Publication Year: 2004, Page(s):93 - 101
    Cited by:  Papers (20)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1559 KB)

    The authors present a novel approach for image representation based on geometric distribution of edge pixels. Object segmentation is not needed, therefore the input image may consist of several complex objects. For an efficient description of an arbitrary edge image, the edge map is divided into M×N angular radial partitions and local features are extracted for these partitions. The entire i... View full abstract»

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  • Video scene characteristic detection to improve digital watermarking transparency

    Publication Year: 2004, Page(s):146 - 152
    Cited by:  Papers (6)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (585 KB)

    A new method of video scene content characteristic detection is proposed. This method can be applied in conjunction with digital watermarking schemes in order to improve the transparency. In addition, new methods of video watermarking are also proposed. Three related original aspects are reported. First, the authors' previous robust image watermarking methods, which consider the block texture are ... View full abstract»

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  • Hiding data in multitone images for data communications

    Publication Year: 2004, Page(s):137 - 145
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (577 KB)

    Two novel data-hiding schemes for secure data communications are presented. These two schemes perform on the pixel differences between the original (host) image and the decompressed image, which is inspired from Wu's and Chao's methods. The first scheme, referred to as 'scheme-1', utilises the differences between two similar images and then embeds the secret data into the different parts. In the e... View full abstract»

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  • Image focus measure based on Chebyshev moments

    Publication Year: 2004, Page(s):128 - 136
    Cited by:  Papers (16)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (694 KB)

    A new measure of image focus based on the discrete orthogonal Chebyshev moments is introduced. The low- and high-spatial-frequency components of an image can be represented as the low- and high-order Chebyshev moments, respectively. The focus measure is defined as the ratio of the norm of the high-order moments to that of low-order moments. It is shown that the focus measure is monotonic and unimo... View full abstract»

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  • POCS-based algorithm for restoring colour-quantised images

    Publication Year: 2004, Page(s):119 - 127
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (498 KB)

    The paper studies the restoration of colour-quantised images. Restoration of colour-quantised images is rarely addressed in the literature, and direct applications of existing restoration techniques are generally inadequate to deal with this problem. The authors propose a POCS-based restoration algorithm specific to colour-quantised images, which makes a good use of the available colour palette to... View full abstract»

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  • Efficient video compression codebooks using SOM-based vector quantisation

    Publication Year: 2004, Page(s):102 - 108
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (399 KB)

    A new rate-constrained self-organising map (SOM) learning algorithm, incorporating a noise-mixing model, is presented as a vector quantiser for very low bit-rate video codecs. A SOM-based approach will exhibit a higher resilience against local minima under low resolution conditions. Practical implementation details and results are also described. View full abstract»

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  • Comparative analysis of bitplane-based wavelet image coders

    Publication Year: 2004, Page(s):109 - 118
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (324 KB)

    Wavelet image encoders based on bitplanes give excellent results in the compression of still images. The bitplane concept has recently been generalised to vectors, and wavelet image encoders based on vector bitplanes have been proposed, some achieving slightly better rate × distortion performances than scalar encoders. There remains the open question of whether the use of vector bitplanes ha... View full abstract»

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