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Titlebook: Computational Color Imaging; 5th International Wo Alain Trémeau,Raimondo Schettini,Shoji Tominaga Conference proceedings 2015 Springer Inte

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https://doi.org/10.1007/978-3-322-88111-3tance or tristimulus values (TSVs) of halftone dots and the paper between the dots. In this paper, we characterize the change of micro-TSVs as a function of printed area in spectral halftone image by a power function and compare its prediction efficiency using theoretically and experimentally measur
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https://doi.org/10.1007/978-3-322-88111-3bject are provided, and a relighted image is calculated using input light source information. In this paper, we propose a dynamic relighting system for moving planar objects with unknown reflectance. By acquiring the surface spectral reflectance of moving objects, our system is able to reproduce acc
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https://doi.org/10.1007/978-3-663-05363-7rtain natural scenes objects: sky, grass and tree leaves. To emphasize reliable data collection, we consider several sources: (a) psychophysical experiment; (b) multispectral image; (c) standard image database and (d) random image collection. Moreover, we consider different daylight conditions and l
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Michael Pinchbeck,Andrew Westerside Hering’s trichromacy theory. It is mathematically well defined and computationally usable. This article recalls the fundamentals of the LIP framework for graytone images, and introduces the elementary operations of the vectorial structure for color images. It illutrates the representation of the ch
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Trace: Shame and the Art of Mourningeriments on color and grayscale images. In the first experiment, images are ranked based on their complexity (image ranking), while in the second experiment the complexity of each image is assessed on a continuous scale (image scaling). Moreover, we investigate if ten image features, that measure co
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https://doi.org/10.1007/978-3-319-63127-1m the RGB color space to the space of symmetric . matrices that has already been used to transfer morphological dilation and erosion concepts from matrix-valued data to color images. We investigate the applicability of this framework to the construction of color-valued median filters. Additionally,
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https://doi.org/10.1007/978-3-319-15979-9computer vision; consumer electronics; digital imaging; multimedia; visual communications
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