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

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Orientationmodulation for data hiding in chrominance channels of direct binary search halftone prints 24

Orientationmodulation for data hiding in chrominance channel...

引用

24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2016

作者： Kitanovski, Vlado Pedersen, Marius Norwegian Colour and Visual Computing Laboratory Faculty of Computer Science and Media Technology Norwegian University of Science and Technology Gjøvik Norway

ISBN: (纸本)9780892083244

In this article, we propose a joint halftoning and data hiding technique for color images. To ensure high quality of the printed image, the color direct binary search (CDBS) iterative halftoning algorithm is used. The proposed approach uses the commonly available cyan, magenta and yellow colorants to hide data in the chrominance channels. Orientation modulation is used for data embedding during the iterative CDBS halftoning stage. The detector is using PCA-learned components to extract the embedded data from the scanned image. Experimental results show that this proposed CDBS-based data hiding method offers both higher data hiding capacity and higher robustness to the print-And-scan channel when compared to the state-of-The-Art grayscale counterpart method. The relatively high correct detection rate make this approach suitable for applications which require exact extraction of embedded data in prints. © Society for Imaging Science and Technology 2016.

关键词： Color

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Using a behavioralmatch-To-samplemethod to evaluate color vision deficiency simulationmethods 24

Using a behavioralmatch-To-samplemethod to evaluate color vi...

引用

24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2016

作者： Simon-Liedtke, Joschua Thomas Farup, Ivar Norwegian Colour and Visual Computing Laboratory Faculty of Computer Science and Media Technology NTNU-Norwegian University of Science and Technology Gjøvik Norway

ISBN: (纸本)9780892083244

Color vision deficiency (CVD) simulation methods are used both to simulate color vision of color-deficient people and as input for image enhancement methods for the color-deficient. However, a standardized method to compare simulation methods has not yet been defined. We propose a behavioral methodology to evaluate, compare and rank different simulation methods. By using accuracy and response time data from a match-To-sample experiment, we can assess behavioral performance of simulation methods. We show firstly that the match-To-sample paradigm is well suited to show performance differences between observer groups;secondly, that the simulation methods do indeed simulate the desired CVD to some degree;and thirdly, we show that the proposed methodology can be used to rank different simulation methods. Our results indicate that the simulation method proposed by Brettel et al. depicts deutan CVD more accurately than the simulation method proposed by Kotera. © Society for Imaging Science and Technology 2016.

关键词： Color

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Multiscale approach for dehazing using the STRESS framework 21

Multiscale approach for dehazing using the STRESS framework

引用

Color Imaging XXI: Displaying, Processing, Hardcopy, and Applications 2016

作者： De Dravo, Vincent Jacob Whannou Hardeberg, Jon Yngve Norwegian Colour and Visual Computing Laboratory Faculty of Computer Science and Media Technology Gjøvik University College GjøvikN-2802 Norway

Models that researchers often use for the dehazing task are based on the Koschmieder law. In this article, we use the STRESS (Spatio-Temporal Retinex-inspired Envelope with Stochastic Sampling) model for the dehazing task. In our work, we demonstrate theoretically and empirically how the parameters in the STRESS framework can be set for dehazing. We then propose a new algorithm for haze removal, based on the model of the (STRESS) framework, which combines edge detection and Hidden Markov Model (HMM) to solve the problem. Experiments show that our approach yields more visibility - based on some metrics and psychophysical tests - than most of the state-of-the-art approaches. © 2016 Society for Imaging Science and Technology.

关键词： Stochastic systems

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Image based reflectance measurement based on camera spectral sensitivities

Image based reflectance measurement based on camera spectral...

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Measuring, Modeling, and Reproducing Material Appearance 2016

作者： Sole, Aditya Farup, Ivar Tominaga, Shoji Norwegian Colour and Visual Computing Laboratory Gjøvik University College Gjøvik Norway Graduate School of Advanced Integration Science Chiba University Chiba Japan

Image based measurement techniques are increasingly used to perform multi-directional reflectance measurements of objects/materials. In these techniques, commercially available colour (RGB) cameras are used along with the monochrome CCD cameras to measure the radiance reflected from the object/material surface at multiple reflection directions. The data acquired through these cameras is used to estimate the BRDF of given sample/material. This paper presents an image-based method to measure the reflectance of the sample material using the camera spectral sensitivities. A multi-angle measurement setup described in previous studies was used to perform the measurements. A reflection model of the sample was derived in a colorimetric space using the Phong model. Camera spectral sensitivities were measured using a Bentham monochromator to build a tranformation from Camera RGB to CIEXYZ colour space. A reflection model was fitted in the colorimetric domain (CIEXYZ) for the sample materials used. Results show that image based multi-directional reflectance measurements can be performed using the camera spectral sensitivities. © 2016 Society for Imaging Science and Technology.

关键词： Reflectometers

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ON THE PERFORMANCE OF 3D JUST NOTICEABLE DIFFERENCE MODELS

ON THE PERFORMANCE OF 3D JUST NOTICEABLE DIFFERENCE MODELS

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IEEE International Conference on Image Processing

作者： Yu Fan Mohamed-Chaker LARABI Faouzi Alaya Cheikh Christine Fernandez-Maloigne XLIM University of Poitiers Norwegian Colour and Visual Computing Laboratory

ISBN: (纸本)9781467399623

The just noticeable difference (JND) notion reflects the maximum tolerable distortion. It has been extensively used for the optimization of 2D applications. For stereoscopic 3D (S3D) content, this notion is different since it relies on different mechanisms linked to our binocular vision. Unlike 2D, 3D-JND models appeared recently and the related literature is rather limited. These models can be used for the sake of compression and quality assessment improvement for S3D content. In this paper, we propose a deep and comparative study of the existing 3D-JND models. Additionally, in order to analyze their performance, the 3D-JND models have been integrated in recent metric dedicated to stereoscopic image quality assessment (SIQA). The results are reported on two widely used S3D image databases.

关键词： Just noticeable difference (JND) Stereoscopic 3D (S3D) 3D-JND Stereoscopic image quality assessment (SIQA) Binocular vision Sake Just-Noticeable Difference Stereoscopic Stereo image processing visual databases

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Developing calibrating curves for a trilinear interpolation model during display characterization

Developing calibrating curves for a trilinear interpolation ...

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Color Imaging XXI: Displaying, Processing, Hardcopy, and Applications 2016

作者： Sun, Bangyong Hardeberg, Jon Y. Cao, Congjun College of Printing and Packaging Xi'an University of Technology Xi'an710048 China Norwegian Colour and Visual Computing Laboratory Norwegian University of Science and Technology GjøvikN-2802 Norway

Trilinear interpolation is a method of multivariate interpolation on a three-dimensional regular grid. It approximates the value of an intermediate point using data on the lattice points, and thus is frequently used for display characterization with 3D lookup tables (3D LUTs). However, large color errors are usually caused by the nonlinear relationship between the source RGB space and the destination CIELAB space. In this article the display characterization is improved by modifying the traditional trilinear interpolation model. First, the Yule-Nielsen n-factor is applied to the destination functions, for the purpose of reducing the nonlinearity between the source and destination color spaces. Afterward, different calibrating curves are developed to calculate the effective values of the source RGB values. The input/source RGB values are usually called nominal values, and the effective values can be regarded as the optimized RGB values which improve the matching degree of the predicted and measured destination CIELAB values. In experiment, a Toshiba M5 liquid crystal display is characterized by using the modified trilinear interpolation model, and the forward and inverse characterization errors of different methods are calculated and compared. The evaluation results demonstrate that both the average and the maximum color errors have significantly decreased when calibrating curve III (one of the three types of curves developed) is employed in combination with the optimal n-factor. Thus, the method of developing effective calibrating curves and finding optimal n-factors proposed in this article can be adopted during display characterization. © 2016 Society for Imaging Science and Technology.

关键词： Interpolation

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An adaptive contrast enhancement method for stereo endoscopic images combining binocular just noticeable difference model and depth information 13

An adaptive contrast enhancement method for stereo endoscopi...

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Image Quality and System Performance XIII 2016

作者： Sdiri, Bilel Beghdadi, Azeddine Cheikh, Faouzi Alaya Pedersen, Marius Elle, Ole Jakob Norwegian Colour and Visual Computing Lab. Gjøvik University College Gjøvik Norway Laboratory of Information Processing and Transmission Université Paris 13 Sorbonne Paris Cité Paris France Intervention Centre Oslo University Hospital Oslo Norway

Endoscopic image enhancement has become a very popular research field due to the success of minimally invasive interventions and the innovation of new technological treatment and diagnosis tools such as stereoscopic laparoscopes and the wireless capsule endoscopy. In spite of the important advances achieved in terms of image processing and enhancement, only a few techniques can be adapted to stereo endoscopic images. This can be explained by the specificities of the stereo endoscopic video acquisition process, the surgical tasks artifacts and the endoscopic domain characteristics (e.g., organ textures,edges, color distribution). In this paper we present a contrast enhancement method for stereo endoscopic images taking into consideration some of these specificities, namely those of the acquired stereo images i.e. the depth information, the binocular vision and the organs boundaries/textures. The idea is to enhance the image quality by a contrast enhancement process that exploits the local image activity, the depth information and the binocular just noticeable difference (BJND) model. The results of the conducted subjective experiment show that the proposed method produces stereo endoscopic images with sharper details of the underlying tissues and organs, without introducing any halo effect or overshooting. The observers reported as well a more depth feeling and less visual fatigue when perceiving the enhanced stereo endoscopic images. © 2016 Society for Imaging Science and Technology.

关键词： Image enhancement

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Illumination-robust multispectral demosaicing

Illumination-robust multispectral demosaicing

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Workshops on Image Processing Theory, Tools and Applications, IPTA

作者： Sofiane Mihoubi Benjamin Mathon Jean-Baptiste Thomas Olivier Losson Ludovic Macaire Univ. Lille CNRS Centrale Lille UMR 9189-CRIStAL-Centre de Recherche en Informatique Signal et Automatique de Lille Lille France Le2i FRE CNRS 2005 Université Bourgogne Franche-Comté Dijon France Norwegian University of Science and Technology Norwegian Colour and Visual Computing Laboratory GjΦvik Norway

Snapshot multispectral cameras that are equipped with filter arrays acquire a raw image that represents the radiance of a scene over the electromagnetic spectrum at video rate. These cameras require a demosaicing procedure to estimate a multispectral image with full spatio-spectral definition. Such a procedure is based on spectral correlation properties that are sensitive to illumination. In this paper, we first highlight the influence of illumination on demosaicing performances. Then we propose camera-, illumination-, and raw image-based normalisations that make demosaicing robust to illumination. Experimental results on state-of-the-art demosaicing algorithms show that such normalisations improve the quality of multispectral images estimated from raw images acquired under various illuminations.

关键词： Lighting Correlation Cameras Sensitivity Hyperspectral imaging Indexes Channel estimation

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Multispectral imaging: An application to density measurement of photographic paper in the manufacturing process control 8

Multispectral imaging: An application to density measurement...

引用

Image Processing: Machine Vision Applications VIII

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

ISBN: (纸本)9781628414950

In this paper, we present an industrial application of multispectral imaging, for density measurement of colorants in photographic paper. We designed and developed a 9-band LED illumination based multispectral imaging system specifically for this application in collaboration with FUJIFILM Manufacturing Europe B.V., Tilburg, Netherlands. Unlike a densitometer, which is a spot density measurement device, the proposed system enables fast density measurement in a large area of a photo paper. Densities of the four colorants (CMYK) at every surface point in an image are calculated from the spectral reflectance image. Fast density measurements facilitate automatic monitoring of density changes (which is proportional to thickness changes), which helps control the manufacturing process for quality and consistent output. Experimental results confirm the effectiveness of the proposed system.

关键词： Process control

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An experimental study of fast multispectral imaging using LED illumination and an RGB camera 23

An experimental study of fast multispectral imaging using LE...

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23rd Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2015

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

ISBN: (纸本)9780892083183

Active illumination based multispectral imaging using LED light sources has got much attention in recent years due to the availability of wide range of narrow band color LEDs spreading across the visible as well as infrared regions. We proposed a fast multispectral imaging using LED illumination and an RGB camera (RGB-LEDMSI) along with a novel LED selection method. In this paper, we present and analyze the results from real world experiments on the proposed RGB-LEDMSI. We built a prototype 9-band RGB-LEDMSI system using commercial iQ-LED panels and a Nikon D600 camera. The experimental results from the prototype system confirm the effectiveness of the proposed system. © 2015 Society for Imaging Science and Technology.

关键词： Light emitting diodes

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