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REGION COLORING, EDGE COLORING, AND SCAN-CONVERSION OF MAPS
International Journal of Computational Geometry & Applications, 1994A theory is introduced relating extrinsic colorings of complementary regions of an embedded graph to certain intrinsic colorings of the edges of the graph, called color cycles, that satisfy a certain self-consistency condition. A region coloring is lifted to an edge coloring satisfying the cycle condition, and a dual construction builds a region ...
K. McCroan, Robert Christopher Lacher
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A Study on Color Conversion for Color Deficient People to Identify Color
2009The sensitivity of the M-cones and L-cones of an anomalous trichromat is lower than that of normal trichromats. By intensifying the light to the cones with lower sensitivity, the output ratio from the cone approached the level of a normal trichromat, and it was presumed that achieving close to original color recognition was a possibility.
Makoto Oka +3 more
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Color image resolution conversion
IEEE Transactions on Image Processing, 2005In this paper, we look at the problem of spatially scaling color images. We focus on an approach that takes advantage of the human visual system's color spatial frequency sensitivity. The algorithm performs an efficient least-squares (LS) resolution conversion for the luminance channel and a low-complexity pixel replication/reduction in the chrominance
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Processing Color Images, Brightness and Color Conversion
2019 International Conference on Information Science and Communications Technologies (ICISCT), 2019The use of color in image processing is due to two main reasons. Firstly, color is an important feature that often facilitates recognition and selection of an object in an image. Secondly, a person is able to distinguish between thousands of different shades of color and only about two dozen shades of gray.
Beknazarova Saida Safibullaevna +2 more
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Enhanced Color-to-Gray Conversion
Journal of Graphics Tools, 2008Important visual details are lost when a color image is converted into a luminance image using GIMP, Adobe Photoshop, or other graphic tools (see Figure 1). An enhanced conversion method is presented that creates an optimized grayscale image with visual artifacts of the standard method reduced to a minimum.
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Color To Colorant Conversions In A Colorimetric Separation System
SPIE Proceedings, 1990Within several years of establishment of the CIE's Standard Observer, Neugebauer based upon it a device-independent interpretation of ink mixture in halftone color reproduction. Despite limitations of the model, his approach is of fundamental importance at a time in which document preparation in distributed computing environments is coming of age ...
Richard Holub, Wayne Kearsley
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Conversion of Infrared Images to Visible in Color
Applied Optics, 1968An ir line scan instrument has been developed that scans a scene simultaneously with three separate spectral regions and produces an image of the scene as a color photograph. The three spectral regions are 0.5-1.0 micro, 3.0-5.5 micro and 8.0-14.0 micro. The ir detectors used are Si, InSb, and Ge:Hg, respectively.
L W, Nichols, J, Lamar
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Color-to-grayscale conversion with color clustering and significance criteria
SPIE Proceedings, 2010An image processing algorithm is presented that adaptively converts color images to grayscale. The intent of the conversion is to preserve color information that is traditionally lost by the conversion process. The conversion produces high-contrast grayscale representations with enhanced color discriminability. A web-based psychometric study confirms
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Color-to-gray conversion using ISOMAP
The Visual Computer, 2009In this paper we present a new algorithm to transform an RGB color image to a grayscale image. We propose using nonlinear dimension reduction techniques to map higher dimensional color vectors to lower dimensional ones. This approach generalizes the gradient domain manipulation for high dimensional images.
Ming Cui +3 more
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Color-to-grayscale conversion to maintain discriminability
SPIE Proceedings, 2003Monochrome devices that receive color imagery must perform a conversion from color to grayscale. The most common approach is to calculate the luminance signal from the three color signals. The problem with this approach is that the distinction between two colors of similar luminance (but different hue) is lost.
Raja Bala, Karen M. Braun
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