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IET Image Processing

Issue 9 • Date December 2012

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Displaying Results 1 - 15 of 15
  • Content-based image retrieval using the combination of the fast wavelet transformation and the colour histogram

    Publication Year: 2012, Page(s):1221 - 1226
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (242 KB)

    In this study, an attempt has been made to study an image retrieval technique based on the combination of Haar wavelet transformation using lifting scheme and the colour histogram (CH) called lifting wavelet-based colour histogram. The colour feature is described by the CH, which is translation and rotation invariant. The Haar wavelet transformation is used to extract the texture features and the ... View full abstract»

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  • Characterisation framework for epileptic signals

    Publication Year: 2012, Page(s):1227 - 1235
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (915 KB)

    In this study, two epileptic signals are extracted from scanned images and three algorithms are proposed to characterise epileptic signals: the modified least squares, modified nearest neighbour, and slopes algorithms. The comparison results between the three algorithms are shown for the characterisation of two epileptic signals. View full abstract»

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  • Enhanced approach for latent semantic indexing using wavelet transform

    Publication Year: 2012, Page(s):1236 - 1245
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (759 KB)

    Latent semantic indexing (LSI) is a technique used for intelligent information retrieval (IR). It can be used as an alternative to traditional keyword matching IR and is attractive in this respect because of its ability to overcome problems with synonymy and polysemy. This study investigates various aspects of LSI: the effect of the Haar wavelet transform (HWT) as a preprocessing step for the sing... View full abstract»

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  • New image quality metric using random projection

    Publication Year: 2012, Page(s):1246 - 1255
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (438 KB)

    This study proposes a new image quality metric using random projection (RP). Generally, distortion is wide spread over the entire region in an image when the image is degraded by compression, blurring, additive noise and so on, which signifies that it is not necessary to compute the degree of distortion at every pixel. RP has been used for representing a signal to a small number of measurements. I... View full abstract»

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  • Graph cut-based binarisation of noisy check images

    Publication Year: 2012, Page(s):1256 - 1261
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (761 KB)

    Binarisation of document images with poor contrast, strong noise, complex patterns and variable modalities in the grey-scale histograms is a challenging problem. This study proposes an algorithm for the binarisation of noisy check images to extract handwriting text using normalised graph cuts (GCs). The proposed algorithm uses a normalised GC measure as a thresholding principle to distinguish the ... View full abstract»

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  • Video denoising in three-dimensional complex wavelet domain using a doubly stochastic modelling

    Publication Year: 2012, Page(s):1262 - 1274
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1284 KB)

    This study presents a new video denoising method in the three-dimensional (3D) discrete complex wavelet transform (DCWT) domain. The authors assume that the coefficients have zero mean and Gaussian local distributions given the unknown variances. In practice, the locally estimated variances (LEVs) are not accurate and are simply maximum-likelihood estimates from the conditional Gaussian distributi... View full abstract»

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  • Image segmentation on spherical coordinate representation of RGB colour space

    Publication Year: 2012, Page(s):1275 - 1283
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (908 KB)

    This study presents an image segmentation algorithm working on the spherical coordinates of RGB colour space. The algorithm uses a hybrid chromatic distance inspired in the human vision system which shifts from the chromatic to the greyscale distance depending on the pixel's luminance value. In dark areas of the image the chromatic distance is too sensitive to image noise, so that the greyscale di... View full abstract»

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  • Hardware-software co-design architecture for joint photo expert graphic XR encoder

    Publication Year: 2012, Page(s):1284 - 1292
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (741 KB)

    In recent years, because of to the fast growing of internet and digital multi-media, new image compression algorithms are needed to reduce the transferring bandwidth and the decay of image quality. Joint Photo Expert Graphic (JPEG) extended range (XR) is a new standard for still image compression. Compared to previous standards, it provides better image quality and plentiful pixel format. However,... View full abstract»

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  • Colour image smoothing through a soft-switching mechanism using a graph model

    Publication Year: 2012, Page(s):1293 - 1298
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (552 KB)

    In this study, the authors propose a soft-switching filter to improve the performance of recent colour image smoothing filters when processing homogeneous image regions. The authors use a recent filter mixed with the classical arithmetic mean filter (AMF). The recent method is used to process image pixels close to edges, texture and details and the AMF is only used to process homogeneous regions. ... View full abstract»

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  • Unification of image fusion and super-resolution using jointly trained dictionaries and local information contents

    Publication Year: 2012, Page(s):1299 - 1310
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1038 KB)

    Multi-modal imaging requires image fusion to combine advantages of different types of sensors and requires super-resolution (SR) because of limited spatial resolution of source images. In this study, a novel framework is proposed for unification of image SR and the fusion process to obtain a high-resolution (HR)-fused image from a set of low-resolution (LR) multi-modal images. The jointly trained ... View full abstract»

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  • Efficient video coding using optimal compression plane and background modelling

    Publication Year: 2012, Page(s):1311 - 1318
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (855 KB)

    All existing video coding standards consider a video as a temporal (along T-axis) collection of two-dimensional (2D) pictures (formed by XY-axes) and compress them by exploiting spatial and temporal redundancy in the pictures. A recent optimal compression plane (OCP) determination technique shows that better compression can be achieved by relaxing the physical meaning of axes by expl... View full abstract»

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  • Scalable video coding with multi-layer motion vector palettes

    Publication Year: 2012, Page(s):1319 - 1330
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (939 KB)

    Scalable video coding (SVC) allows an encoded bitstream to be brought down in scale or quality without the need for further processing. This study presents a wavelet-based motion-compensated system for SVC. The motion vectors are encoded in a scalable manner that employs a palette of motion vectors split into layers, which gives good scalability and low bit rates. The algorithms were designed to k... View full abstract»

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  • Laplacian coordinates-based motion transition for data-driven motion synthesis

    Publication Year: 2012, Page(s):1331 - 1337
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (416 KB)

    As a fundamental technique in data-driven (or example-based) methods, motion blending has been employed to produce new motion clip from two or more clips or introduced as a medium to improve the final result of other method, for example, motion graphs. As methods of motion blending always require the system or users to classify the motion samples, it is difficult to accomplish motion blending auto... View full abstract»

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  • Hidden conditional random field-based soccer video events detection

    Publication Year: 2012, Page(s):1338 - 1347
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (739 KB)

    Detect highlight event is an important step for semantic-based video retrieval. Hidden conditional random field (HCRF) is a discriminative model, which is effective in fusing observations for event inference. Mid-level semantics and their refinements are more robust than low-level visual features in event detection for learning models. To make full use of the contextual information, two aspects ar... View full abstract»

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  • Quantitative quality assessment of stitched panoramic images

    Publication Year: 2012, Page(s):1348 - 1358
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1604 KB)

    In this study, the authors present quantitative quality assessment indices for measuring geometric and photometric qualities of stitched panoramic images, since both geometric and photometric qualities are important for obtaining a seamless panoramic image. For geometric quality assessment, our approach is based on the use of structural similarity (SSIM) index between the high-frequency informatio... 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.

Full Aims & Scope

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