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Image and Graphics (ICIG'04), Third International Conference on

Date 18-20 Dec. 2004

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Displaying Results 1 - 25 of 147
  • Proceedings. Third International Conference on Image and Graphics

    Publication Year: 2004
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  • Third International Conference on Image and Graphics - Title Page

    Publication Year: 2004 , Page(s): i - iii
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  • Third International Conference on Image and Graphics - Copyright Page

    Publication Year: 2004 , Page(s): iv
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  • Third International Conference on Image and Graphics - Table of contents

    Publication Year: 2004 , Page(s): v - xiii
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  • Preface

    Publication Year: 2004 , Page(s): xiv
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  • Committees

    Publication Year: 2004 , Page(s): xv - xvi
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  • A nonlinear image restoration framework using vector quantization

    Publication Year: 2004 , Page(s): 2 - 5
    Request Permissions | Click to expandAbstract | PDF file iconPDF (172 KB) |  | HTML iconHTML  

    Vector quantization (VQ) is a powerful method used primarily in signal and image compression. In recent years, it has also been applied to other various image processing tasks, including image classification, histogram modification, and restoration. In this paper, we focus our attention on image restoration using VQ. We present a general framework that incorporates two other methods in the literat... View full abstract»

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  • Objective assessment to restoration of global motion-blurred images using traveling wave equations

    Publication Year: 2004 , Page(s): 6 - 9
    Cited by:  Papers (3)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (851 KB) |  | HTML iconHTML  

    The relative motion between the camera and the scene leads to blurring of images. By appealing to traveling wave equations, the restoration of the motion-blurred images can be achieved and a criterion of objective quality assessment can be obtained for these restored versions even without any a priori knowledge of the original image. Most significantly, this criterion actually applies to any categ... View full abstract»

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  • Image representation for stereo: stripes and stripe adjacency graph

    Publication Year: 2004 , Page(s): 10 - 13
    Request Permissions | Click to expandAbstract | PDF file iconPDF (515 KB) |  | HTML iconHTML  

    A new algorithm for stereo correspondence and surface reconstruction is presented in this paper. We advance the stripe as the matching primitive. The stripe is a special kind of region composed of some adjacent similar scanline segments. Each input image is segmented into stripes and then converted to a stripe adjacency graph. Our method matches stripes and stripe adjacencies globally and adaptive... View full abstract»

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  • Generation of speckle fringe patterns by curved-surface window correlation method

    Publication Year: 2004 , Page(s): 14 - 17
    Request Permissions | Click to expandAbstract | PDF file iconPDF (766 KB) |  | HTML iconHTML  

    Subtraction method is usually adopted to generate the speckle fringe patterns in electronic speckle pattern of interferometry (ESPI), but it would result in high-level speckle noise inevitably. Another method is the direct correlation technique with rectangular windows, which could suppress the high contrast speckle noise and produce some new large size speckles with low contrast. This paper propo... View full abstract»

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  • Fuzzy weighted average filtering for mixture noises

    Publication Year: 2004 , Page(s): 18 - 21
    Cited by:  Papers (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (495 KB) |  | HTML iconHTML  

    The classic nonlinear filter performs well in impulse noise suppression and edge preserving. However, the classic nonlinear filtering is not good at reducing the mixture of Gaussian noise and impulse noise. In this paper, we investigate the nonlinear filtering techniques to eliminate the mixture of impulse noise and Gaussian noise. Based on fuzzy theory, we present a weighted average filter by mak... View full abstract»

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  • Intra-class variation, affine transformation and background clutter: towards robust image matching

    Publication Year: 2004 , Page(s): 22 - 26
    Request Permissions | Click to expandAbstract | PDF file iconPDF (734 KB) |  | HTML iconHTML  

    Image matching is a fundamental computer vision problem that includes many scenarios, such as varying the view scene matching, feature selection and registration, object recognition, and general object class matching. This article presents a unified framework and working algorithm for these different matching scenarios. The proposed feature-based image matching method demonstrates excellent robust... View full abstract»

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  • Comparative study of unsharp masking methods for image enhancement

    Publication Year: 2004 , Page(s): 27 - 30
    Cited by:  Papers (10)  |  Patents (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (404 KB) |  | HTML iconHTML  

    Contrast enhancement by the unsharp masking (UM) approaches are computationally and conceptually the simplest methods. In this paper, the different methods of UM for image enhancement are compared. These algorithms have been tested and compared for the same conditions. The results show that majority of these algorithms are very sensitive to the enhancement factor and are good for sharpening. This ... View full abstract»

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  • The PSF correction method for satellite image restoration

    Publication Year: 2004 , Page(s): 31 - 34
    Request Permissions | Click to expandAbstract | PDF file iconPDF (142 KB) |  | HTML iconHTML  

    The sensor conversion of the top of the atmosphere signals (TOAS) to reflectivity representing the land surface target characters is an important sector in remote sensing information quantification. Assuming that the atmosphere disturbance is excluded because of the adjacency effect among pixels, the DN value of a target pixel contains the scatter contributions of the background pixels. The magnit... View full abstract»

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  • Multi lane line reconstruction for highway application with a signal view

    Publication Year: 2004 , Page(s): 35 - 38
    Request Permissions | Click to expandAbstract | PDF file iconPDF (301 KB) |  | HTML iconHTML  

    In the intelligent transportation systems, the automatic navigation system is the active research domain. The lane lines reconstruction based on the computer vision is the kernel technique. This paper describes the multi-lane line reconstruction with a single view for highway application. We calibrate the camera and get the model of the road. Then, we detect the white lane lines and reconstruct th... View full abstract»

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  • Image noise analysis with a fast lifting wavelet algorithm for objective image quality evaluation

    Publication Year: 2004 , Page(s): 39 - 42
    Request Permissions | Click to expandAbstract | PDF file iconPDF (238 KB) |  | HTML iconHTML  

    An essential determinant of the value of surrogate digital images is their quality. Over the past years, there have been many attempts to develop models or metrics for image quality that incorporate elements of human visual sensitivity. However, there is no current standard and objective definition of spectral image quality. This paper proposes a reliable automatic method for objective image quali... View full abstract»

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  • Image denoising using wavelet and support vector regression

    Publication Year: 2004 , Page(s): 43 - 46
    Cited by:  Papers (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (440 KB) |  | HTML iconHTML  

    Wavelet image denoising has been well acknowledged as an important method of denoising in image processing. This paper describers a new method for the suppression of noise in image by fusing the wavelet denoising technique with support vector regression (SVR). Based on the least squares support vector machine (LS-SVM), a new denoising operators used in the wavelet domain are obtained. Simulated no... View full abstract»

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  • Color based grayscale-fused image enhancement algorithm for video surveillance

    Publication Year: 2004 , Page(s): 47 - 50
    Cited by:  Papers (1)  |  Patents (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (228 KB) |  | HTML iconHTML  

    Multiple sensors image fusion is increasingly being employed in video surveillance. This paper presents a color based grayscale-fused image enhancement algorithm. The main advantage of this algorithm is to stand out the meaningful information of a certain sensor in the selected band of the color space, while maintaining the high resolution of the grayscale-fused image. Moreover, a performance eval... View full abstract»

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  • Medical diagnostic image fusion based on feature mapping wavelet neural networks

    Publication Year: 2004 , Page(s): 51 - 54
    Cited by:  Papers (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (454 KB) |  | HTML iconHTML  

    In recent years, many solutions to medical diagnostic image fusion have been proposed; however, it is difficult to simulate the surgical ability of image fusion when algorithms of image processing are merely piled up. On the basis of the review of researches on psychophysics and physiology of human vision, this paper presents an effective multi-resolution image fusion methodology, which is self-or... View full abstract»

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  • Novel histogram processing for colour image enhancement

    Publication Year: 2004 , Page(s): 55 - 58
    Cited by:  Papers (11)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (269 KB) |  | HTML iconHTML  

    In practice, the histogram equalization often produces images with unnatural appearances and visually disturbing artefacts. One of the reasons for these unwanted effects is that the histogram equalization attempts to force the output image to have a uniform pixel distribution regardless of what the original image's pixel distribution may be. In this paper, we present a novel histogram processing a... View full abstract»

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  • A fast morphological algorithm for color image multi-scale segmentation using vertex-collapse

    Publication Year: 2004 , Page(s): 60 - 63
    Cited by:  Papers (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (359 KB) |  | HTML iconHTML  

    This paper proposes a fast morphological algorithm for color image multi-scale segmentation based on the connected sets using the vertex-collapse algorithm. Color morphological operators are defined based on a special full order relation of color vectors in HSV model. Morphological opening-closing operators are implemented using vertex-collapse algorithm to form a nonlinear scale space. Both area ... View full abstract»

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  • An adaptive soft-morphological-gradient-filter-for-edge-detection

    Publication Year: 2004 , Page(s): 64 - 67
    Cited by:  Papers (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (167 KB) |  | HTML iconHTML  

    In this paper, a novel adaptive soft morphological gradient (ASMG) filter is proposed, based on a combination of the idea of the soft morphological filtering and the adaptive technique. ASMG filtering is an efficient nonlinear sharpening method, which can be applied for edge detection. By employing four directional structuring elements, ASMG filtering has the capability of selecting the directiona... View full abstract»

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  • Generalized Mumford-Shah model and fast algorithm for color image restoration and edge detection

    Publication Year: 2004 , Page(s): 68 - 71
    Request Permissions | Click to expandAbstract | PDF file iconPDF (172 KB) |  | HTML iconHTML  

    A generalized Mumford-Shah model for color image restoration and edge detection is established in this paper. First the color images are considered as the manifold based on the "surface based method", then a new physical quantity in the form of vector product, which describes the differences of the gradient between different channels, is introduced into the regularization term of the "object", the... View full abstract»

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  • Eddy tracking of unsteady flow field

    Publication Year: 2004 , Page(s): 72 - 75
    Request Permissions | Click to expandAbstract | PDF file iconPDF (124 KB) |  | HTML iconHTML  

    Eddy tracking is just finding all the vectors with similar motion in its influence region and recording its moving route. Virtually, a flow field is able to be replaced with a scalar dataset, if its feature information can be faithfully preserved by the scalar dataset. Therefore, the eddy tracking problem can be solved by tracking the moving objects in an image sequence after a certain transformat... View full abstract»

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  • Discrete wavelet descriptor for 2D shape

    Publication Year: 2004 , Page(s): 76 - 79
    Cited by:  Papers (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (114 KB) |  | HTML iconHTML  

    The aim of this paper is to propose a 2D shape recognition method under similitude transforms using the discrete dyadic wavelet transform with decimation (DWT). We propose four technics to fix the starting point necessary to obtain the same object representation in the framework of objects retrieval system. These representations are obtained by applying the DWT on the contour signature. We also pr... View full abstract»

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