Journal articles on the topic 'Color computer graphics; Computer terminals'

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1

Weisberg, David E. "The Electronic Push." Mechanical Engineering 122, no. 04 (April 1, 2000): 53–59. http://dx.doi.org/10.1115/1.2000-apr-4.

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This article explains the concept and various aspects of mechanical design automation (MDA). The use of computers for mechanical design is often referred to as MDA. Serious commercialization of computer graphics for design and drafting began in 1969 with the founding of Computervision and Application. The commercial market picked up significantly in 1975, when new 19-inch storage tube display terminals became readily available from Tektronix. These units could be used with minicomputers without custom interfaces, and they could display substantially larger drawings than the older, 11-inch units. The 1980s saw tremendous growth and change in mechanical design automation. While the predominant computer continued to be the 16-bit Digital PDP-11, there was growing interest in Digital’s 32-bit VAX 11 /780. Display products were starting their transition from Tektronix’s storage tube units to raster displays, with color raster just around the corner. The 1990s was a decade of constant movement for the MDA industry.
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Kubiak and Przybysz. "The Effectiveness of TMDS Coding in Counteracting the Non-Invasive Acquisition of Graphic Data." Electronics 8, no. 10 (September 20, 2019): 1063. http://dx.doi.org/10.3390/electronics8101063.

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Modern video display terminals commonly use digital video signals. Transition minimized differential signaling (TMDS) coding implemented in video signal transmission using DVI (Digital Visual Interface) standard is commonly used. The aim of the coding scheme adopted by this solution is to eliminate the constant component of the electrical signal, increase the resistance to electromagnetic (EM) interference, and reduce electronic interference between cables. Professionals and hobbyists interested in the problems relating to protecting information against electromagnetic infiltration believe that TMDS coding, in contrast to the VGA (Video Graphics Array) analogue standard, significantly improves the electromagnetic security of processed graphic information. This paper shows a comparison of the abovementioned standards in terms of information protection against electromagnetic infiltration. The paper presents the results of computer simulations and studies dealing with practical compromising emanations for DVI standard and its susceptibility to electromagnetic radiation spying. The obtained results show that the commonly expressed ideas of digital standards being fully secure are false. The obtained test results show that the level of electromagnetic protection can be increased by using appropriate pairs of colors for the text and background. This solution has to be connected with a mode that smooths the edges of graphic signs. Then, the number of frequencies in which valuable emissions exist can be limited. In this paper, pairs of colors for which the level of protection of information can be increased are shown. The authors present their analyses on the basis of the method of colors. The method is connected to possibilities of selection of smoothing modes of edges. As Windows is the most commonly used system in classified work stations (so-called TEMPEST computers), this operating system was considered from the viewpoint of the protection of processed information.
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3

Data Type Ltd. "Colour graphics terminal." Computer-Aided Design 17, no. 7 (September 1985): 338. http://dx.doi.org/10.1016/0010-4485(85)90178-2.

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4

Robertson, P., and J. Schonhut. "Color in Computer Graphics." IEEE Computer Graphics and Applications 19, no. 4 (July 1999): 18–19. http://dx.doi.org/10.1109/mcg.1999.773960.

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5

Zajec, Edward. "Computer Graphics: Color-Based Time." Leonardo 19, no. 1 (1986): 39. http://dx.doi.org/10.2307/1578300.

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6

MacDonald, L. W. "Using color effectively in computer graphics." IEEE Computer Graphics and Applications 19, no. 4 (1999): 20–35. http://dx.doi.org/10.1109/38.773961.

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7

Nishino, R., R. Nakazato, T. Takahashi, H. Matsumoto, S. Hori, Y. Masuyama, S. Hinohara, M. Horie, D. Robinson, and S. Hinohara. "Dietary Balance Chart for an On-line Computerized Graphical Support System inMHTS." Methods of Information in Medicine 37, no. 02 (1998): 147–50. http://dx.doi.org/10.1055/s-0038-1634509.

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AbstractDietary habits are believed to play an important role in the etiology of adult disease. For this reason, it is necessary to include effective dietary guidance in multiphasic health testing and services (MHTS) programmes for primary disease prevention. We have developed such a programme of simple dietary advice, using a computer system for the MHTS. Examinees' dietary habits are checked using optical character record (OCR) questionnaire forms, and the results are displayed on the screen of a colour display terminal. They are required to prepare a menu of their usual daily dietary intake in terms of quantity and type of food. Thus the data collected relate to the nutritional composition of the examinee's usual diet. Nutritional requirements of the Japanese according to sex, height, and level of physical activity, in accordance with criteria set by the Japanese Ministry of Health and Welfare, are fed into the computer in advance. For each examinee, these criteria and the results of the assessment of the diet are displayed together on the screen in the form of colour graphs for comparison.
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8

Terminal Display Systems. "Supercolour graphics display terminals." Displays 11, no. 4 (October 1990): 206. http://dx.doi.org/10.1016/0141-9382(90)90015-l.

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9

Brewer, Cynthia A. "Interactive Color: A Guide for Color in Computer Graphics." Cartographic Perspectives, no. 12 (March 1, 1992): 7–9. http://dx.doi.org/10.14714/cp12.1029.

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10

MASUDA, Yutaka. "Automobil Color Design System by Computer Graphics." Journal of the Japan Society of Colour Material 69, no. 12 (1996): 801–9. http://dx.doi.org/10.4011/shikizai1937.69.801.

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11

Lindbloom, Bruce J. "Accurate color reproduction for computer graphics applications." ACM SIGGRAPH Computer Graphics 23, no. 3 (July 1989): 117–26. http://dx.doi.org/10.1145/74334.74345.

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12

Rougeron, Gilles, and Bernard Péroche. "Color Fidelity in Computer Graphics: a Survey." Computer Graphics Forum 17, no. 1 (March 1998): 3–15. http://dx.doi.org/10.1111/1467-8659.00212.

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13

Meyer, G. W., and D. P. Greenberg. "Color-defective vision and computer graphics displays." IEEE Computer Graphics and Applications 8, no. 5 (September 1988): 28–40. http://dx.doi.org/10.1109/38.7759.

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14

Satou, Yoshimasa, Hideyuki Shimada, Mitsuru Shiono, and Yoshiya Miyagaki. "Computer Graphics. Computer Graphics Representation of Deformation and Color Change in Objects during Combustion." Journal of the Institute of Image Information and Television Engineers 55, no. 7 (2001): 1026–34. http://dx.doi.org/10.3169/itej.55.1026.

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15

Eguchi, Y. "The color correction of printer for computer graphics." IEEE Transactions on Consumer Electronics 34, no. 3 (1988): 523–29. http://dx.doi.org/10.1109/30.20149.

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16

Ju-Ho Sohn, Yong-Ha Park, Chi-Weon Yoon, R. Woo, Se-Jeong Park, and Hoi-Jun Yoo. "Low-power 3D graphics processors for mobile terminals." IEEE Communications Magazine 43, no. 12 (December 2005): 90–99. http://dx.doi.org/10.1109/mcom.2005.1561925.

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17

Bratkova, Margarita, Solomon Boulos, and Peter Shirley. "oRGB: A Practical Opponent Color Space for Computer Graphics." IEEE Computer Graphics and Applications 29, no. 1 (January 2009): 42–55. http://dx.doi.org/10.1109/mcg.2009.13.

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18

Fargo, Hailley. "In the Growing Information Mall, Some Things Never Change." Evidence Based Library and Information Practice 12, no. 4 (December 30, 2017): 271. http://dx.doi.org/10.18438/b8z66s.

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A Review of: Fidel, R., Davies, R. K., Douglass, M. H., Holder, J. K., Hopkins, C. J., Kushner, E. J.,…. Toney, C. D. (1999). A visit to the information mall: Web searching behavior of high school students. Journal of the American Society for Information Science, 50(1), 24-37. http://dx.doi.org/10.1002/(SICI)1097-4571(1999)50:13.0.CO;2-W Abstract Objective – The research study aimed to discover high school students’ information searching behaviour on the Web and suggest Web changes that would benefit student learning. This study was conducted in 1999, seven years after the Internet was publicly available and on the cusp of Web 2.0. Design – Field study with class observations, students thinking aloud at their terminals, and interviews with the students after their searching. The study’s duration was three class searching sessions. Setting – West Seattle High School in Seattle, Washington. This school had a diverse population of students, with 50% students of color and many of these students first generation to finish high school. Due to a grant from Microsoft, West Seattle had operational four computer labs. Subjects – Eleventh and twelfth graders in a horticulture class. There were eight student participants, six males and two females. Five of these students were in 12th grade and three were in 11th grade. The teacher for this class, the school librarian, and the principal of West Seattle High School were also interviewed for this project. Methods – Qualitative, case-study method was used with controlled comparison. Team members observed the students while they searched and wrote down descriptions of the students’ searching methods. After the three observation sessions and interviews with the students, team members wrote up a case study for each student. The students’ think-aloud audio, along with all the interviews conducted, were recorded. This type of method can be considered an early version of usability testing and user experience studies, a field that has grown tremendously since 1999. Main Results – While each student observed had a different relationship with the Web and training on how to use it, similar searching strategies emerged from all participants. These strategies included focused searching, swift and flexible searching when results were not immediately found, using a webpage as a landmark to return to while searching, starting a new search, and asking for help when needed. It should be noted that focused searching along with the swift, flexible searching were strategies influenced by student motivation to complete their homework assignment as quickly as possible. The team noted exploration of the Web was kept to a minimum and this was due to the parameters of the assignment. Team members also identified similar frustrations and joys from the students when searching the Web. The study identified three steps that should be taken to help students more effectively navigate the Web. The steps included an increase in formal teaching on Web searching, embedded support in the Web to help students search, and relying on graphics to strengthen a Web experience. Conclusion – Authors noted the possibilities the World Wide Web has to offer, especially in a school context. However, in order to fully maximize those possibilities, the Web needs to take into account user experiences and information seeking behaviour, along with an increase in training on how to use the Web.
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19

Wells, S. C., G. J. Williamson, and S. E. Carrie. "Dithering for 12-bit true-color graphics." IEEE Computer Graphics and Applications 11, no. 5 (September 1991): 18–29. http://dx.doi.org/10.1109/38.90564.

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20

Tashima, Hideki. "A Color Reproduction Method in Monochromatic Lighting for Computer Graphics." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 80, no. 8 (1996): 516–26. http://dx.doi.org/10.2150/jieij1980.80.8_516.

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21

Zajec, Edward. "Orphics: Computer Graphics and the Shaping of Time with Color." Leonardo. Supplemental Issue 1 (1988): 111. http://dx.doi.org/10.2307/1557920.

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22

SAITO, Kaoru, and Yoichi KUMAGAI. "Development of color computer graphics system for visual simulation technic." Journal of the Japanese Institute of Landscape Architects 51, no. 5 (1987): 257–62. http://dx.doi.org/10.5632/jila1934.51.5_257.

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23

Arden, Geoffrey, Kemal G�nd�z, and Scott Perry. "Color vision testing with a computer graphics system: Preliminary results." Documenta Ophthalmologica 69, no. 2 (June 1988): 167–74. http://dx.doi.org/10.1007/bf00153698.

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24

Cesar, Pablo, Petri Vuorimaa, and Juha Vierinen. "A graphics architecture for high-end interactive television terminals." ACM Transactions on Multimedia Computing, Communications, and Applications 2, no. 4 (November 2006): 343–57. http://dx.doi.org/10.1145/1201730.1201735.

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25

Richards, J. E. "Filling Complex Polygons by Region-Fill Methods on Raster Graphics Terminals." Computer Graphics Forum 6, no. 1 (March 1987): 49–54. http://dx.doi.org/10.1111/j.1467-8659.1987.tb00345.x.

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26

Kaufman, Arie. "Computer artist's color naming system." Visual Computer 2, no. 4 (August 1986): 255–60. http://dx.doi.org/10.1007/bf01900349.

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27

Kotani, Kazunori. "Fundamentals and Application of Color Image Processing Technology; (9) Color Reproduction in Computer Graphics." Journal of the Institute of Television Engineers of Japan 47, no. 9 (1993): 1216–24. http://dx.doi.org/10.3169/itej1978.47.1216.

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28

Laakom, Firas, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, and Moncef Gabbouj. "Bag of Color Features for Color Constancy." IEEE Transactions on Image Processing 29 (2020): 7722–34. http://dx.doi.org/10.1109/tip.2020.3004921.

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29

Chung, K. H., and Y. H. Chan. "Color Demosaicing Using Variance of Color Differences." IEEE Transactions on Image Processing 15, no. 10 (October 2006): 2944–55. http://dx.doi.org/10.1109/tip.2006.877521.

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30

SAITO, Kaoru, and Takesi SAKAI. "Utilization of Color Computer Graphics aided Visual Simulation and Evaluation System." Journal of the Japanese Institute of Landscape Architects 53, no. 5 (1989): 227–32. http://dx.doi.org/10.5632/jila1934.53.5_227.

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31

Zajec, Edward. "Orphics: Computer Graphics and the Feasibility of a Preferred Color Order." Color Research & Application 19, no. 3 (June 1994): 222–27. http://dx.doi.org/10.1002/col.5080190310.

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32

Wang, Ying. "Research on the Visual Communication Design Based on Technology of Computer Graphics." Advanced Materials Research 846-847 (November 2013): 1064–67. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1064.

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with the rapid development of computer technology, it has become the hot research topic of the current visual communication design that the color, graphics and image information of the visual information can use computer technology to make the pertinence design creation. First of all, this paper analyzes the spatial characteristics of the computer graphics technology. On this basis, the color transformation model is analyzed which is essential in the computer graphics and visual design. In addition, this paper also makes an empirical analysis on the application and function of computer graphics technology in the visual communication design in the form of a case. Finally, it is obtained that computer image technology not only has a significant importance in the design of visual communication, to some extent, but provides a theoretical basis and technical support for the study in this field.
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33

Jiebo Luo and D. Crandall. "Color object detection using spatial-color joint probability functions." IEEE Transactions on Image Processing 15, no. 6 (June 2006): 1443–53. http://dx.doi.org/10.1109/tip.2006.871081.

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34

Chen, Wei-Ta, Wei-Chuan Liu, and Ming-Syan Chen. "Adaptive Color Feature Extraction Based on Image Color Distributions." IEEE Transactions on Image Processing 19, no. 8 (August 2010): 2005–16. http://dx.doi.org/10.1109/tip.2010.2051753.

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35

Naiman, Avi. "Color spaces and color contrast." Visual Computer 1, no. 3 (November 1985): 194–201. http://dx.doi.org/10.1007/bf01910022.

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36

Cao, Min. "Optimization of Plane Image Color Enhancement Based on Computer Vision." Wireless Communications and Mobile Computing 2022 (August 8, 2022): 1–8. http://dx.doi.org/10.1155/2022/3463222.

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In order to enhance the color effect of plane image, this paper presents a method of optimization of color enhancement processing of plane image based on computer vision technology. This method combines Retinex algorithm with adaptive two-dimensional empirical decomposition and decomposes the image to achieve the effect of image color enhancement. The experimental results show that the average value of the image processed by this method is increased by about 0.3. The variance increased by about 0.13. Information entropy increased by about 0.3. The definition is improved by about 0.02. Conclusion. The optimization method of color enhancement processing of plane graphics based on computer vision technology can effectively improve the color of plane images, which is of great significance for image processing.
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37

Wolfe, Rosalee. "Focus on color." ACM SIGGRAPH Computer Graphics 29, no. 4 (November 1995): 49–55. http://dx.doi.org/10.1145/216876.216890.

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38

Tymochko, Oleksandr, Volodymyr Larin, Maksym Kolmykov, Oleksander Timochko, and Vladislava Pavlenko. "RESEARCH OF IMAGES FILTRATION METHODS IN COMPUTER SYSTEMS." Advanced Information Systems 5, no. 1 (June 22, 2021): 93–99. http://dx.doi.org/10.20998/2522-9052.2021.1.13.

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It is known that human eyes are less sensitive to color, than to their brightness. In the RGB color space, all three components are considered equally important, and they are usually stored with the same resolution. However, you can display a color image more efficiently, separating the brightness from color information and presenting it with a higher resolution than color. RGB space is well suited for computer graphics, because it uses these three components for color formation. However, RGB space is not very effective when it comes to real images. The fact is that to save the color of an image, you need to know and store all three components of the RGB, and if one of them is missing, it will greatly distort the visual image representation. Also, when processing images in RGB space, it is not always convenient to perform any pixel conversion, because, in this case, it will be necessary to list all three values of the RGB component and write back. This greatly reduces the performance of various image processing algorithms. For these and other reasons, many video standards use brightness and two signals that carry information about the red and blue components of the signal, as a color model other than RGB. The most famous among such spaces is YCbCr.
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39

Sharma, G., and H. J. Trussell. "Digital color imaging." IEEE Transactions on Image Processing 6, no. 7 (July 1997): 901–32. http://dx.doi.org/10.1109/83.597268.

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40

Lippman, Andrew, Walter Bender, Gitta Soloman, and Mitsuo Saito. "Color Word Processing." IEEE Computer Graphics and Applications 5, no. 6 (1985): 41–46. http://dx.doi.org/10.1109/mcg.1985.276498.

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41

Cheng, Deqiang, Haoxiang Zhang, Man Jiang, and Qiqi Kou. "Color Image Retrieval Method Fusing Principal Curvature and Color Information." Journal of Computer-Aided Design & Computer Graphics 33, no. 2 (February 1, 2021): 223–31. http://dx.doi.org/10.3724/sp.j.1089.2021.18406.

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42

Ivanovici, Mihai. "Fractal Dimension of Color Fractal Images With Correlated Color Components." IEEE Transactions on Image Processing 29 (2020): 8069–82. http://dx.doi.org/10.1109/tip.2020.3011283.

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43

Liu, Guang-Hai, and Jing-Yu Yang. "Exploiting Color Volume and Color Difference for Salient Region Detection." IEEE Transactions on Image Processing 28, no. 1 (January 2019): 6–16. http://dx.doi.org/10.1109/tip.2018.2847422.

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44

Zhao, Yunfeng, Stuart Ferguson, Huiyu Zhou, Christopher Elliott, and Karen Rafferty. "Color Alignment for Relative Color Constancy via Non-Standard References." IEEE Transactions on Image Processing 31 (2022): 6591–604. http://dx.doi.org/10.1109/tip.2022.3214107.

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45

Li, Wang, Zhu Xiaoning, and Xie Zhengyu. "Efficient container stacking approach to improve handling: efficiency in Chinese rail–truck transshipment terminals." SIMULATION 96, no. 1 (April 16, 2019): 3–15. http://dx.doi.org/10.1177/0037549719843347.

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An efficient container stacking approach is vital to the handling efficiency of container transshipment terminals. In this paper, by considering container allocation preferences and operation distance, the container stacking problem in rail–truck transshipment terminals has been formulated as a multi-objective optimization model to minimize container overlapping amounts and crane moving distance. A simulation-based algorithm implementing process has been developed to stack containers to the optimum positions. Computational experiments on data from a rail–truck transshipment terminal in China are conducted to test the efficiency of the proposed approach. Experimental results demonstrate that the container stacking approach is efficient and significant for improving handling efficiency in rail–truck transshipment terminals.
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46

Kobayashi, H., and C. E. Drozd. "Efficient Algorithms for Routing Interchangeable Terminals." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 4, no. 3 (July 1985): 204–7. http://dx.doi.org/10.1109/tcad.1985.1270116.

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47

Matsuyama, Sawa, Yuko Oguchi, Yoshifuru Saito, and Toshiyasu L. Kunii. "Handling Technique of the Dynamic Color Computer Graphics by the Wavelets Transform." Journal of the Visualization Society of Japan 19, Supplement1 (1999): 83–86. http://dx.doi.org/10.3154/jvs.19.supplement1_83.

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48

Harter, W. G. "A new twist to optical polarization theory: Color U(2) computer graphics." Optics News 15, no. 12 (December 1, 1989): 53. http://dx.doi.org/10.1364/on.15.12.000053.

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49

Kondratowicz, Ludwik J. "Simulation methodology for intermodal freight transportation terminals." SIMULATION 55, no. 1 (July 1990): 49–59. http://dx.doi.org/10.1177/003754979005500110.

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50

de Queiroz, R. L., and K. M. Braun. "Color to gray and back: color embedding into textured gray images." IEEE Transactions on Image Processing 15, no. 6 (June 2006): 1464–70. http://dx.doi.org/10.1109/tip.2006.871181.

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