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IET Image Processing

Issue 1 • Date February 2009

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Displaying Results 1 - 3 of 3
  • Real-time implementation of order-statistics-based directional filters

    Publication Year: 2009, Page(s):1 - 9
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (542 KB)

    Vector filters based on order-statistics have proved successful in removing impulsive noise from colour images while preserving edges and fine image details. Among these filters, the ones that involve the cosine distance function (directional filters) have particularly high computational requirements, which limits their use in time-critical applications. In this paper, we introduce two methods to ... View full abstract»

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  • Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models

    Publication Year: 2009, Page(s):10 - 25
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (426 KB)

    A new relevance feedback (RF) approach for content-based image retrieval is presented. This approach uses gaussian mixture (GM) models of the image features and a query that is updated in a probabilistic manner. This update reflects the preferences of the user and is based on the models of both the positive and negative feedback images. The retrieval is based on a recently proposed distance measur... View full abstract»

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  • Rate control algorithm based on intra-picture complexity for H.264/AVC

    Publication Year: 2009, Page(s):26 - 39
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (748 KB)

    An efficient rate control algorithm based on the content-adaptive initial quantisation parameter (QP) setting scheme and the peak signal-to-noise ratio (PSNR) variation-limited bit-allocation strategy for low-complexity mobile applications is presented. This algorithm can efficiently measure the residual complexity of intra-pictures without performing the computation-intensive intra-prediction and... 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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