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检索条件"机构=Colour and Visual Computing Laboratory"

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Improved simulation of image detail visibility using the non-subsampled contourlet transform

Improved simulation of image detail visibility using the non...

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21st Color and Imaging Conference 2013: Color Science and Engineering Systems, Technologies, and Applications, CIC 2013

作者： Pedersen, Marius Liu, Xinwei Farup, Ivar Norwegian Colour and Visual Computing Laboratory Gjøvik University College Norway

ISBN: (纸本)9781632660145

A previous study proposed a method for simulation of detail visibility of natural images (from different observation distances) by using contrast sensitivity functions and wavelets (Pedersen and Farup, Color and Imaging Conference 2012). In this paper we propose an improved method using the non-subsampled contourlet transform, which accounts for important aspects of the human visual system such as orientation sensitivity. In addition we account for the effect of surround illumination. Objective and subjective evaluations show that the proposed methodology is promising, and that it introduces fewer artifacts than the previous method.

关键词： Contourlet transform

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Multispectral imaging using LED illumination and an RGB camera

Multispectral imaging using LED illumination and an RGB came...

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21st Color and Imaging Conference 2013: Color Science and Engineering Systems, Technologies, and Applications, CIC 2013

作者： Shrestha, Raju Hardeberg, Jon Yngve Norwegian Colour and Visual Computing Laboratory Gjøvik University College Norway

ISBN: (纸本)9781632660145

LED illumination based multispectral imaging is getting much attention in recent years due to its fast computer controlled switching ability, availability of many different LEDs, robustness, and cost effectiveness. In this paper, we propose a system which uses an RGB camera along with two or three combinations of three different types of LEDs in order to acquire multispectral images of six or nine channels. Optimal LED combinations are selected so as to produce accurate estimate of spectral reflectance and/or color. The system is rather simple to realize. Moreover, it is faster as it requires only two or three shots, unlike state of the art multiplexed LED illumination based systems which require as many shots as the number of channels that a system can acquire. The proposed system can be useful in general multispectral imaging applications. The system has been evaluated with both the natural images and paintings. The results from the simulation experiments were promising, indicating the possibility of the proposed system as a practical and feasible method of multispectral imaging.

关键词： Light emitting diodes

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To develop a method of estimating spectral reflectance from camera RGB values

To develop a method of estimating spectral reflectance from ...

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colour and visual computing Symposium

作者： Radovan Slavuj Phil Green Norwegian Colour and Visual Computing Laboratory Gjovik Norway

Spectral reflectance represents physical information of an object surface. In a conventional colour management system the spectral reflectance will be converted to the common space which will describe object tristimulus value or how will that particular colour will look under some of the standard illuminants or real light sources. However, many applications will require the object reflection to be known and independent on the viewing illuminant.

关键词： Image reconstruction Reflectivity Image color analysis Cameras Sensitivity Noise

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Gamut mapping for the Perceptual Reference Medium Gamut

Gamut mapping for the Perceptual Reference Medium Gamut

引用

colour and visual computing Symposium

作者： Phil Green Colour and Visual Computing Laboratory Gjøvik University College Norway

A requirement for a baseline algorithm for mapping from the ICC Perceptual Reference Medium Gamut to destination media in ICC output profiles has been identified. Before such a baseline algorithm can be recommended, it requires careful evaluation by the user community. A framework for encoding the gamut boundary and computing intersections with the PRMG and output gamuts respectively is described. This framework provides a basis for comparing different gamut mapping algorithms, and a number of candidate algorithms are also described.

关键词： Image color analysis Encoding ISO standards Transforms Arrays Table lookup Rendering (computer graphics)

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Artifact detection in gamut mapped images using saliency

Artifact detection in gamut mapped images using saliency

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colour and visual computing Symposium

作者： Kiran B. Raja Marius Pedersen The Norwegian Colour and Visual Computing Laboratory Gjøvik University College Norway

Detecting artifacts introduced by gamut mapping algorithms is necessary to ensure the quality of color image reproduction. Machine based detection of artifacts shall reduce the tedious work of visual inspection. In this work, we propose to use contrast information to detect the artifacts introduced due to the process of gamut mapping. We further evaluate the proposed algorithm on a set of gamut mapped images and analyze the results. The results are validated against the existing benchmarks.

关键词： Observers Image color analysis Correlation Measurement Histograms Image segmentation visualization

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Learning super-resolution from misaligned examples

Learning super-resolution from misaligned examples

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colour and visual computing Symposium

作者： Maria Lena Demetriou Jon Yngve Hardeberg Gabriel Adelmann The Norwegian Colour and Visual Computing Laboratory Gjøvik University College Gjovik Norway

Implementations of Example-Based Super-Resolution (EBSR) have been developed extensively. Any such EB-SR method is typically evaluated against a constructed test set as to define its performance and applicability. Nevertheless, it is rare for a formed test set to precisely resemble data met in a real-world problem. Usually, low-quality training and test subsets are obtained directly from their corresponding high-quality ground truth data. This allows for a complete and reliable quantitative examination of performance at a later stage. In a real-world problem however, test data are obtained from another source, as for example, printed images. Naturally, low-quality scanned halftones and high-quality continuous tone images would possibly be spatially incoherent training pairs. Such circumstances give rise to one major consideration, misalignment in training subsets. The present work demonstrates the significance of effect of misalignment among training subsets in applying EB-SR and supports the necessity of image registration in preprocessing to overcome this problem.

关键词： Training Art Dictionaries Spatial resolution Feature extraction Signal resolution

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A Novel Image Fusion Scheme For Robust Multiple Face Recognition With Light-field Camera

A Novel Image Fusion Scheme For Robust Multiple Face Recogni...

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International Conference on Information Fusion

作者： R. Raghavendra Kiran B. Raja Bian Yang Christoph Busch Norwegian Biometric Laboratory Gjovik University College The Norwegian Colour and Visual Computing Laboratory Gjovik University College

ISBN: (纸本)9781479902842

Accurate face recognition in wide area surveillance application is a challenging problem because of multiple pose, non-uniform illumination, low resolution and out-of-focus face images that are recorded with conventional surveillance cameras (Closed-Circuit TeleVision or Pan-Tilt-Zoom). In this paper, we address the problem of face recognition in wide area surveillance with a light-field camera. The main advantage of a light-field camera is that, it can provide different focus (or depth) images in a single exposure (capture) which is not possible with a conventional 2D camera. In this work, we propose a novel weighted image fusion scheme to combine different depth (or focus) images rendered by a light-field camera. The proposed image fusion scheme is not only dynamic in handling number of depth (or focus) images but also adaptive in assigning higher weights to the best focus image as compared to the out-of-focus image. Extensive experiments are carried out on our newly acquired face dataset captured using Lytro light-field camera to bring out the merits and demerits of the proposed weighted image fusion scheme for face recognition in wide area surveillance applications.

关键词： Facial Recognition image fusion field camera Cameras Detective cameras images out-of-focus focus

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Impact of illumination spectral power distribution on radiance factor of fluorescing materials

Impact of illumination spectral power distribution on radian...

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colour and visual computing Symposium

作者： Ludovic G. Coppel M. Andersson O. Norberg S. Lindberg The Norwegian Colour and Visual Computing Laboratory Gjøvik University College Gjovik Norway Digital Printing Center Mid Sweden University Ornskoldsvik Sweden Innventia AB Stockholm Sweden

The spectral radiance factor and thereby the appearance of fluorescing material is known to depend strongly on the spectral power distribution (SPD) of the illumination in the fluorophore's excitation wavelength band. The present work demonstrates the impact of the SPD in the fluorescence emission band on the total radiance factor. The total radiance factor of a fluorescing paper is measured in three different illuminations. The presence of peaks in the SPD of fluorescent light tubes dramatically decreases the luminescent radiance factor. This effect will impact the appearance of fluorescing media under illuminations with large variation in SPD, which includes recent LED illuminations.

关键词： Lighting Color Electron tubes Media Power distribution visualization

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Multi- and Single-output Support Vector Regression for Spectral Reflectance Recovery

Multi- and Single-output Support Vector Regression for Spect...

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International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Ferdinand Deger Alamin Mansouri Marius Pedersen Jon Y. Hardeberg Yvon Voisin Le2i – Université de Bourgogne Auxerre France Norwegian Colour and Visual Computing Laboratory GjÃvik University College GjÃvik Norway

In this paper, we deal with the problem of reflectance recovery from multispectral camera output using Support Vector Regression (SVR). As standard, SVR is unidimensional, the spectral reflectance recovery requires a multi-dimensional output. We propose two ways of adaptation: the transformation of the dataset (camera output) to a scalar-valued composite data model on the one hand, and the adaptation of a recent multi-output SVR on the other hand. We compare both performances to a Wiener-based reflectance recovery. The results are quite satisfactory and the comparison points out the advantages and drawbacks of each one of the proposed methods.

关键词： Training Cameras Kernel Estimation Noise Support vector machines Data models

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LED Based Multispectral Film Scanner for Accurate Color Imaging

LED Based Multispectral Film Scanner for Accurate Color Imag...

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International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Raju Shrestha Jon Yngve Hardeberg Clotilde Boust Norwegian Colour and Visual Computing Laboratory Gøvik University College Gøvik Norway Hogskolen i Gjovik Gjovik Oppland NO Versailles University and Centre for Research and Restoration of the Museums of France (C2RMF) Paris France

LED (Light Emitting Diode) based spectral imaging is advantageous for its fast computer controlled switching ability, availability of many different types of LEDs and cost effectiveness. It has been used in some applications like biometrics and arts, however, it has not been explored in film scanning. Here in this paper, we have proposed a LED based spectral film scanner that allows acquiring spectral data and at the same time producing more accurate digital color images. Such a system, in practice, is constrained by the limit in the number of LEDs to be used. We have studied the performance of the system also, under the influence of the number of LEDs. Simulation experiments show that the system is capable of acquiring accurate color images with a fairly reasonable number of LEDs. We have also investigated the influence of noise on the number of LEDs, and it shows that the noise plays some part on the number of LEDs to be used.

关键词： Light emitting diodes Cameras Color Image color analysis Noise Estimation Lighting

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