IET Image Processing

Issue 5 • October 2010

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Displaying Results 1 - 7 of 7
  • General form for obtaining discrete orthogonal moments

    Publication Year: 2010, Page(s):335 - 352
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1616 KB)

    Discrete orthogonal moments such as Tchebichef moments and Krawtchouk moments are more powerful in image representation than traditional continuous orthogonal moments. However, less work has been done for the summarisation of these discrete orthogonal moments. This study proposes two general forms which will simplify and group the discrete orthogonal Tchebichef and Krawtchouk polynomials and their... View full abstract»

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  • Alternative minimisation algorithm for non-local total variational image deblurring

    Publication Year: 2010, Page(s):353 - 364
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (610 KB)

    Recently, variational models based on non-local regularisation obtain superior results over traditional methods, and many iterative algorithms have been proposed for these models. At present, Xiaoqun Zhang et al. proposed two algorithms based on Bregman iteration for solving non-local regularisation problems, these algorithms converge fast but the calculation quantity is large for each iter... View full abstract»

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  • Optimal bit allocation for subband video coding

    Publication Year: 2010, Page(s):365 - 373
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (595 KB)

    An optimal subband bit allocation technique for optimal distribution of bits among the subbands is presented. The proposed technique is based on a new rate-distortion model, which switches between two types of models at lower and higher bit rates. Based on this model, it is possible to select the best R-D strategy among the lower bit rate model, the higher bit rate model and the average between th... View full abstract»

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  • Contrast-based fusion of noisy images using discrete wavelet transform

    Publication Year: 2010, Page(s):374 - 384
    Cited by:  Papers (8)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1063 KB)

    Development of efficient fusion algorithms is becoming increasingly important for obtaining a more informative image from several source images captured by different modes of imaging systems or multiple sensors. Since noise is inherent in practical imaging systems or sensors, an integrated approach of image fusion and noise reduction is essential. The discrete wavelet transform has been significan... View full abstract»

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  • Lifting construction based on Bernstein bases and application in image compression

    Publication Year: 2010, Page(s):385 - 402
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (759 KB)

    A novel framework for the construction of biorthogonal wavelets based on Bernstein bases with an arbitrary order of vanishing moments using the lifting scheme is proposed. We explore the field of application of it in still image compression. The major contributions of this work can be summarised highlighting the following three aspects. First and foremost, we propose an algorithm that is used to i... View full abstract»

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  • Series-parallel pipeline architecture for high-resolution catadioptric panoramic unwrapping

    Publication Year: 2010, Page(s):403 - 412
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (487 KB)

    To implement high-speed panoramic unwrapping of high-resolution catadioptric omnidirectional images on field-programmable gate array (FPGA), a novel design technique of pipeline architecture is proposed, named a `series-parallel pipeline'. Based on the strategy of `block prefetching', catadioptric omnidirectional images are divided into image blocks before loading into the pipeline. Multiple funct... View full abstract»

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  • Image denoising employing local mixture models in sparse domains

    Publication Year: 2010, Page(s):413 - 428
    Cited by:  Papers (10)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (838 KB)

    In this study, the authors fit three univariate mixture distributions to the image coefficients in four sparse domains [ordinary discrete wavelet transform (DWT), discrete complex wavelet transform (DCWT), discrete contourlet transform (DCOT) and discrete curvelet transform (DCUT)]. By estimating the parameters of these mixture priors locally using adjacent coefficients in the same scale, the auth... 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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