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IET Image Processing

Issue 3 • April 2012

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Displaying Results 1 - 10 of 10
  • Integration of optical flow and dynamic programming for stereo matching

    Publication Year: 2012, Page(s):205 - 212
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (574 KB)

    The authors present a novel approach to integrate the optical flow estimation into a block stereo matching algorithm using dynamic programming (DP). It is well known that reliable ground control points can significantly improve the performance of stereo matching, but false matches can also significantly degrade the performance of stereo matching. In order to extract as many reliable ground control... View full abstract»

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  • Image segmentation based on multiresolution Markov random field with fuzzy constraint in wavelet domain

    Publication Year: 2012, Page(s):213 - 221
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (943 KB)

    This study proposes a multiresolution Markov random field model with fuzzy constraint in wavelet domain (MRMRF-F). In this model, a fuzzy field is introduced into the multiresolution Markov random field model to estimate parameters, by which the spatial constraint between neighbouring features can be reflected. There are three subfields on each resolution in the MRMRF-F model: one feature field, o... View full abstract»

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  • Database of human segmented images and its application in boundary detection

    Publication Year: 2012, Page(s):222 - 229
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1374 KB)

    This study presents a database that can be used for boundary detection and image segmentation evaluation. Images in our database are based on image pairs instead of single images, which is a remarkable difference from existing databases. This characteristic will greatly facilitate the algorithms combining low-level cues such as brightness, colour and texture with depth information generated from t... View full abstract»

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  • Contrast enhancement of dark images using stochastic resonance

    Publication Year: 2012, Page(s):230 - 237
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (603 KB)

    Two stochastic resonance (SR)-based techniques are introduced for enhancement of very low-contrast images. In the proposed SR-based image enhancement technique-1, an expression for optimum threshold has been derived. Gaussian noise of increasing standard deviation has been added iteratively to the low-contrast image until the quality of enhanced image reaches maximum. A quantitative parameter `dis... View full abstract»

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  • Histogram ordering model-based fast motion estimation

    Publication Year: 2012, Page(s):238 - 250
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1040 KB)

    This study proposes two efficient block matching algorithms for fast motion estimation using a histogram ordering model in order to reduce the computational cost of video coding. Since the representative pixels that consist of edge or texture mainly contribute to the block matching criterion, it is important to analyse the details of the current block. To analyse the characteristics of the block w... View full abstract»

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  • Enhancing the predictive coding efficiency with control technologies for lossless compression of images

    Publication Year: 2012, Page(s):251 - 263
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (542 KB)

    This study applies techniques commonly used in control systems to enhance the efficiency of predictive coding in lossless compression of images for pixels around boundaries. Actually, the predictive coding system behaves just like a multi-input single-output system with the predictor itself can be regarded as the system model. Besides, the prediction error is usually feedback for the adaptation of... View full abstract»

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  • Grey theory applied in non-subsampled Contourlet transform

    Publication Year: 2012, Page(s):264 - 272
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (852 KB)

    This study mainly discussed the application of grey theory in the non-subsampled Contourlet domain. The new algorithm combined the excellent characteristics of the non-subsampled Contourlet transform and grey theory in image denoising. The total variation model is used first to modify the noised image in order to reduce the pseudo-Gibbs artifacts. In the high-frequency area, the grey relational me... View full abstract»

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  • Image denoising and zooming under the linear minimum mean square-error estimation framework

    Publication Year: 2012, Page(s):273 - 283
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1005 KB)

    Most of the existing image interpolation schemes assume that the image to be interpolated is noise free. This assumption is invalid in practice because noise will be inevitably introduced in the image acquisition process. Usually, the image is denoised first and is then interpolated. The denoising process, however, may destroy the image edge structures and introduce artefacts. Meanwhile, edge pres... View full abstract»

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  • Robust approach to independent component analysis for SAR image analysis

    Publication Year: 2012, Page(s):284 - 291
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (565 KB)

    This study proposes a method that improves the robustness of independent component analysis (ICA) by adding outlier rejection rule for solving synthetic aperture radar (SAR) image analysis problems. Since the noise in SAR images is multiplicative, the applicability of ICA is seriously reduced. The proposed robust approach includes three procedures. After a pre-processing stage of principal compone... View full abstract»

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  • Colour matching for soft proofing using a camera

    Publication Year: 2012, Page(s):292 - 300
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (655 KB)

    The goal of a colour management system (CMS) is to keep colour across different display devices. For example, a CMS may be developed to preserve colour from monitor to print. Printed colours on paper can look different from colours displayed on a monitor. Soft proofing is to preview a printed colour image on a monitor. The International Colour Consortium (ICC)/ColourSync media profile based on sca... 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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