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Journal articles on the topic 'CIEDE2000'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Luo, M. R., G. Cui, and B. Rigg. "Further comments on CIEDE2000." Color Research & Application 27, no. 2 (2002): 127–28. http://dx.doi.org/10.1002/col.10043.

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2

Kuehni, Rolf G. "CIEDE2000, milestone or final answer?" Color Research & Application 27, no. 2 (2002): 126–27. http://dx.doi.org/10.1002/col.10035.

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3

Liu, Hao Xue, Bing Wu, Yu Liu, Min Huang, and Yan Fang Xu. "A Discussion on Printing Color Difference Tolerance by CIEDE2000 Color Difference Formula." Applied Mechanics and Materials 262 (December 2012): 96–99. http://dx.doi.org/10.4028/www.scientific.net/amm.262.96.

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In ISO printing standards, a color difference tolerance of ΔE*ab=5 is used as a threshold. But CIELAB color space is not uniform enough so that the same color difference value represents different color difference sensation in different color area. It is proved that the color difference calculated by CIEDE2000 is closer to the human sensation, so ISO TC130 is discussing the possibility of replacing CIELAB color difference by CIEDE2000. An experiment was conducted, in which the color difference of typical printing colors, CMYKRGB, was calculated and test. The experimental results showed that th

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4

Yang, Yang, Jun Ming, and Nenghai Yu. "Color Image Quality Assessment Based on CIEDE2000." Advances in Multimedia 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/273723.

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Combining the color difference formula of CIEDE2000 and the printing industry standard for visual verification, we present an objective color image quality assessment method correlated with subjective vision perception. An objective score conformed to subjective perception (OSCSP)Qwas proposed to directly reflect the subjective visual perception. In addition, we present a general method to calibrate correction factors of color difference formula under real experimental conditions. Our experiment results show that the present DE2000-based metric can be consistent with human visual system in gen

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5

Zhao, Hong Xia, Zhi Yang Luo, Xin Yuan, and Yuan Li. "Study on Color Classification of Pork with Computer Vision System Based on Different Color Difference Formula." Key Engineering Materials 474-476 (April 2011): 1638–42. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1638.

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The bad degree of meat and the color change have a close relation. Computer vision is not under the influence of physiological and psychological factor of person; Appraisement standard is objective and steady. Therefore, computer vision system has been established, which can do collection, management, display, and appraisement of porky color. The CIEL*a*b* and CIEDE2000 color difference formula were introduced into the classification of pork, the result was identical. Because the calculation course of CIEDE2000 color difference is complex, so the CIE1976L*a*b* color difference is still adopted

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6

Yang, Yang, Jun Ming, and Nenghai Yu. "A Design Method of Saturation Test Image Based on CIEDE2000." Advances in Multimedia 2012 (2012): 1–4. http://dx.doi.org/10.1155/2012/513963.

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In order to generate color test image consistent with human perception in aspect of saturation, lightness, and hue of image, we propose a saturation test image design method based on CIEDE2000 color difference formula. This method exploits the subjective saturation parameterC′ of CIEDE2000 to get a series of test images with different saturation but same lightness and hue. It is found experimentally that the vision perception has linear relationship with the saturation parameterC′. This kind of saturation test image has various applications, such as in the checking of color masking effect in v

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7

Zheng, Yuan Lin, Shi Sheng Zhou, Lin Lin Zhang, and Yong Hong Qi. "Evaluation of CIELAB-Based Color Difference Formulae Using a Printing Data Set." Advanced Materials Research 174 (December 2010): 44–47. http://dx.doi.org/10.4028/www.scientific.net/amr.174.44.

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Color difference used to test the quality of printing products is one of the most important factors in the printing industry. Many new color difference formulae such as CIEDE2000, CIEDE94, CMC(l:c) etc were developed to improve the uniformity. In this paper the color difference formulae have been compared throughout their weighting functions SL, SC, and SH to the CIELAB components , , . In order to test which color difference formula has the better performance in the printing industry they are evaluated by our own data sets. First of all, we developed a printing data set for evaluating color d

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8

Tong, Li Ping, Bin Peng, Yi Wei Fei, and Hong Wei Yang. "Application of CIEDE2000 Color Difference Formula in Jet Fuel Silver Strip Corrosion Color Recognition." Key Engineering Materials 531-532 (December 2012): 54–57. http://dx.doi.org/10.4028/www.scientific.net/kem.531-532.54.

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In order to eliminate the human eyes’ subjective differences in the level recognition of the jet fuel’s silver corrosion, chromatic aberration system is used to calculate chromatic aberration between the image of the standard colorimetric board and the experiment silver corrosion. By contrast, this paper chooses the least chromatic aberration to estimate the level of silver corrosion. The CIEDE2000 of the color difference formula, which can match with person vision theoretically, is applied in the chromatic aberration system at present, and can reflect the minor differences in color correctly.

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9

Gómez-Polo, Cristina, María Portillo Muñoz, Mari Cruz Lorenzo Luengo, Purificación Vicente, Purificanción Galindo, and Ana María Martín Casado. "Comparison of the CIELab and CIEDE2000 color difference formulas." Journal of Prosthetic Dentistry 115, no. 1 (2016): 65–70. http://dx.doi.org/10.1016/j.prosdent.2015.07.001.

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10

Johnson, Garrett M., and Mark D. Fairchild. "A top down description of S-CIELAB and CIEDE2000." Color Research & Application 28, no. 6 (2003): 425–35. http://dx.doi.org/10.1002/col.10195.

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11

Pérez, María M., Oscar E. Pecho, Razvan Ghinea, Rosa Pulgar, and Alvaro Della Bona. "Recent Advances in Color and Whiteness Evaluations in Dentistry." Current Dentistry 1, no. 1 (2019): 23–29. http://dx.doi.org/10.2174/2542579x01666180719125137.

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Background: The final goal of color measurement or shade specification in dentistry is the reproduction by prosthetic materials of all important appearance characteristics of natural oral structures. The application of color science in dentistry is an objective way to measure and evaluate such structures and dental materials in clinical practice and dental research. Methods: Literature on color science was reviewed to present new metrics to evaluate color differences of dental materials and dental structures. Visual acceptability and perceptibility values of color differences are reviewed and

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12

Berns, Roy S. "Modification of CIEDE2000 for Assessing Color Quality of Image Archives." Archiving Conference 2016, no. 1 (2016): 181–85. http://dx.doi.org/10.2352/issn.2168-3204.2016.1.0.181.

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13

Luo, M. R., G. Cui, and B. Rigg. "The development of the CIE 2000 colour-difference formula: CIEDE2000." Color Research & Application 26, no. 5 (2001): 340–50. http://dx.doi.org/10.1002/col.1049.

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14

Melgosa, M. "Improvement of CMC upon CIEDE2000 for a new experimental dataset." Color Research & Application 31, no. 3 (2006): 239–41. http://dx.doi.org/10.1002/col.20212.

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15

Valencia, Edison, and María S. Millán. "Color Image Quality in Presentation Software." Advances in Optical Technologies 2008 (November 2, 2008): 1–6. http://dx.doi.org/10.1155/2008/417976.

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The color image quality of presentation programs is evaluated and measured using S-CIELAB and CIEDE2000 color difference formulae. A color digital image in its original format is compared with the same image already imported by the program and introduced as a part of a slide. Two widely used presentation programs—Microsoft PowerPoint 2004 for Mac and Apple's Keynote 3.0.2—are evaluated in this work.

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16

Sánchez-Marañón, M., R. Huertas, and M. Melgosa. "Colour variation in standard soil-colour charts." Soil Research 43, no. 7 (2005): 827. http://dx.doi.org/10.1071/sr04169.

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This paper presents colourimetric analyses of 6 standard soil-colour charts (1372 chips) from different manufacturers, editions, and degrees of use. The CIELAB hab, L*, and C*ab were found to have significant (analysis of variance, P < 0.05) variations among tested charts, and the Munsell hue, value, and chroma measured in most chips varied from their notation by as much as 1 unit. This discrepancy can be attributed to printing differences and/or colour fading. The Munsell loci of constant hue and chroma plotted in CIELAB colour space showed that colour fading is not uniform, so that visual

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17

Perez, María del Mar, Razvan Ghinea, Luis Javier Herrera, et al. "Dental ceramics: A CIEDE2000 acceptability thresholds for lightness, chroma and hue differences." Journal of Dentistry 39 (December 2011): e37-e44. http://dx.doi.org/10.1016/j.jdent.2011.09.007.

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18

Melgosa, Manuel, Guihua Cui, Claudio Oleari, et al. "Revisiting the weighting function for lightness in the CIEDE2000 colour-difference formula." Coloration Technology 133, no. 4 (2017): 273–82. http://dx.doi.org/10.1111/cote.12294.

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19

Pecho, Oscar E., Razvan Ghinea, Rodrigo Alessandretti, María M. Pérez, and Alvaro Della Bona. "Visual and instrumental shade matching using CIELAB and CIEDE2000 color difference formulas." Dental Materials 32, no. 1 (2016): 82–92. http://dx.doi.org/10.1016/j.dental.2015.10.015.

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20

Hauptmann, Markus, Hermann Pleschberger, Carsten Mai, Jürgen Follrich, and Christian Hansmann. "The potential of color measurements with the CIEDE2000 equation in wood science." European Journal of Wood and Wood Products 70, no. 4 (2011): 415–20. http://dx.doi.org/10.1007/s00107-011-0575-6.

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21

Rodríguez-Esparragón, Dionisio, Javier Marcello, Consuelo Gonzalo-Martín, Ángel García-Pedrero, and Francisco Eugenio. "Assessment of the spectral quality of fused images using the CIEDE2000 distance." Computing 100, no. 11 (2018): 1175–88. http://dx.doi.org/10.1007/s00607-018-0640-7.

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22

ONUR CINKO, UGUR, and BEHCET BEHCET BECERIR. "Dependence of colour difference formulae on regular changes of colour coordinates in CIELAB colour space." Industria Textila 70, no. 03 (2019): 248–54. http://dx.doi.org/10.35530/it.070.03.1525.

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Four colour difference formulae [CIELAB (1976), CMC (2:1), CIE94 (2:1:1) and CIEDE2000 (2:1:1)] were assessed in CIELAB colour space for regular changes in colour coordinates. L*, a* and b* coordinates were changed regularly both as increasing and decreasing steps in different lightness and hue regions of the colour space. The dependence and consistency of the four formulae were researched depending on regular and constant colour coordinate changes. The aim of the empirical study was to determine if there could be a possibility of using different colour difference formulae in different hue reg

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23

Garg, SA, and SM Chavda. "Color Masking White Fluorotic Spots by Resin Infiltration and Its Quantitation by Computerized Photographic Analysis: A 12-month Follow-up Study." Operative Dentistry 45, no. 1 (2020): 1–9. http://dx.doi.org/10.2341/17-260-t.

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SUMMARY Objective: To manage three cases of mild to moderate fluorosis by resin infiltration technique and to quantify the tooth color changes by measuring CIE L*a*b* values of digital photographs and calculating ΔE00 based on the CIEDE2000 formula using Adobe Photoshop software. Methods and Materials: Three cases of mild to moderate fluorosis were treated with a combination of bleaching and a resin infiltration technique. CIE L*a*b* values of 18 fluorosed spots were measured from digital photographs of these cases at four different stages—preoperative, postbleaching, postinfiltration and at 1

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24

Hu, Yu, and Ming Ronnier Luo. "Developing a visual method to characterize displays." Color and Imaging Conference 2019, no. 1 (2019): 75–79. http://dx.doi.org/10.2352/issn.2169-2629.2019.27.14.

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The goal is to develop a display characterization model to include the personal vision characteristics. A two-step model for visually characterizing displays was developed. It was based on the concept of half-toning technique for obtaining gamma factor for each colour channel, and unique hue concept for achieving 3x3 matrix coefficients, respectively. The variation can be presented by the optimized RGB primaries for each observer. The typical difference between the individual and the measured ground truth is 2.2 in terms of CIEDE2000 units.

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25

Miotti, LL, IS Santos, GF Nicoloso, RT Pozzobon, AH Susin, and LB Durand. "The Use of Resin Composite Layering Technique to Mask Discolored Background: A CIELAB/CIEDE2000 Analysis." Operative Dentistry 42, no. 2 (2017): 165–74. http://dx.doi.org/10.2341/15-368-l.

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SUMMARY The purpose of this study was to evaluate the ability of three resin composite systems to mask a severely discolored background by the application of a layering technique through CIELAB and CIEDE2000 analysis. Ninety 1.5-mm-thick disc specimens were produced from three different resin composite restoration systems: IPS Empress Direct (Ivoclar Vivadent), Charisma Diamond (Heraeus Kulzer), and Filtek Z350 XT (3M-ESPE). The specimens were divided into groups according to the restoration system and the resin composite shade combination used for the layering technique (enamel, body, and den

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26

Xu, B. T., B. Zhang, Y. Kang, Y. N. Wang, and Q. Li. "Applicability of CIELAB/CIEDE2000 formula in visual color assessments of metal ceramic restorations." Journal of Dentistry 40 (July 2012): e3-e9. http://dx.doi.org/10.1016/j.jdent.2012.04.011.

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27

Melgosa, Manuel, Rafael Huertas, and Roy S. Berns. "Relative significance of the terms in the CIEDE2000 and CIE94 color-difference formulas." Journal of the Optical Society of America A 21, no. 12 (2004): 2269. http://dx.doi.org/10.1364/josaa.21.002269.

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28

Sharma, Gaurav, Wencheng Wu, and Edul N. Dalal. "The CIEDE2000 color-difference formula: Implementation notes, supplementary test data, and mathematical observations." Color Research & Application 30, no. 1 (2004): 21–30. http://dx.doi.org/10.1002/col.20070.

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29

PÉREZ, María del Mar, Arafa SALEH, Ana YEBRA, and Rosa PULGAR. "Study of the Variation between CIELAB .DELTA.E* and CIEDE2000 Color-differences of Resin Composites." Dental Materials Journal 26, no. 1 (2007): 21–28. http://dx.doi.org/10.4012/dmj.26.21.

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30

Perez, BG, LL Miotti, AH Susin, and LB Durand. "The Use of Composite Layering Technique to Mask a Discolored Background: Color Analysis of Masking Ability After Aging—Part II." Operative Dentistry 44, no. 5 (2019): 488–98. http://dx.doi.org/10.2341/18-016-l.

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SUMMARY The aim of this study was to evaluate the effectiveness of the layering technique to mask a discolored background (C4) after one year of water aging. The technique was used with three resin composite restorative systems (IPS Empress Direct, Charisma Diamond, and Filtek Z350XT). Ninety 1.5-mm-thick specimens were divided into groups and subgroups according to the restorative system and resin composite shade combination used in the layering technique (enamel, body, and dentin). The color measurements were made by reflection spectrophotometer (SP60, EX-Rite) over the C4 substrate at two t

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31

Niu, Jin, Xian Dou Zhang, and Qiang Wang. "Study on the Color Representing Accuracy of Spectrum with Different Wavelength Range and Interval." Applied Mechanics and Materials 262 (December 2012): 13–17. http://dx.doi.org/10.4028/www.scientific.net/amm.262.13.

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The spectral representing accuracy with different wavelength range and sampling interval were analyzed in this study. The spectral reflectance of different color sets were measured. The CIELAB and CIEDE2000 color differences under CIE standard illuminants and actual lighting sources were calculated to evaluate the representing accuracy among the spectral reflectance with various wavelength ranges and sampling intervals. Results of the experiment indicate that the representing accuracy of the spectral reflectance with different wavelength range and sampling interval were affected by the media t

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32

Kim, Seung-Heon, Yong-Keun Lee, and Bum-Soon Lim. "Influence of porcine liver esterase on the color of dental resin composites by CIEDE2000 system." Journal of Biomedical Materials Research Part B: Applied Biomaterials 72B, no. 2 (2005): 276–83. http://dx.doi.org/10.1002/jbm.b.30141.

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33

Paravina, Rade, Natalie Pereira-Sanchez, Razvan Ghinea, and John Powers. "Colorimetric (CIEDE2000) comparison between two shade guides used for visual evaluation of tooth whitening efficacy." Srpski arhiv za celokupno lekarstvo 147, no. 3-4 (2019): 142–47. http://dx.doi.org/10.2298/sarh181129006p.

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Introduction/Objective. The objective of this study was to perform colorimetric comparison between two shade guides used for visual tooth whitening monitoring. Methods. VITA Bleachedguide 3D-Master (BG) and value scale of VITA classical A1?D4 (VC) were evaluated (n = 3) using a non-contact spectroradiometer. Ranges, distribution, and correlation among color parameters were evaluated using CIEDE2000 color difference formula. In addition, optimized whiteness index for dentistry (WID), and Yellowness Index E313 (YI) were analyzed. ANOVA and Fisher?s PLSD test at a 0.05 level of significance were

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34

Lee, Yong-Keun. "Comparison of CIELAB ΔE* and CIEDE2000 color-differences after polymerization and thermocycling of resin composites". Dental Materials 21, № 7 (2005): 678–82. http://dx.doi.org/10.1016/j.dental.2004.09.005.

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35

Liang, Jing, Ning Fang Liao, Yu Sheng Lian, and Yuan Yuan Wang. "Evaluation Accepted Small Color-Difference Samples by Using High Glossy Ink-Jet Paper." Advanced Materials Research 380 (November 2011): 179–82. http://dx.doi.org/10.4028/www.scientific.net/amr.380.179.

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In order to study the human color vision characteristics, the small color-difference discrimination threshold experiment at the 17 basic CIE color centers of high range of gloss color printed samples. A panel of 10 observers with normal color vision performed the visual assessment to 510 pairs of samples using admissibility method. The evaluation data of visual color-difference were obtained in CIELAB color space. The detailed comparision indicated that the data were used evaluate the four common color-difference formula, CIELAB, CIE94, CMC and CIEDE2000. The detailed analysis indicated that C

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36

Boronkay, G. "IMPROVED METHOD OF CALCULATING THE ORNAMENTAL VALUE OF FLOWERS BASED ON PETAL DISCOLOURING MEASURED IN CIEDE2000." Acta Horticulturae, no. 1064 (January 2015): 205–10. http://dx.doi.org/10.17660/actahortic.2015.1064.23.

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37

Tseng, Kuo Hsiung, Jin Zau Kao, and Juei Long Chiu. "Lighting Color Differences of LED Roadway Lamps and Regular Roadway Lamps." Advanced Materials Research 347-353 (October 2011): 4003–7. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.4003.

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To reduce power consumption and attain goals of energy saving and carbon reduction, this study explored the possibility of replacing regular roadway lamps with LED roadway lamps, with focus on the comparison and analysis of lighting color differences. Computer vision system was used for color quantification to simulate human vision. We allowed for LED roadway lamps and various illuminants to irradiate on a 24-color chart to collect the displayed colors and color differences. The CIEDE2000 color difference equation was used to determine the difference between LED roadway lamp illuminants and D6

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38

Völz, Hans G. "Euclidization of the first quadrant of the CIEDE2000 color difference system for the calculation of large color differences." Color Research & Application 31, no. 1 (2005): 5–12. http://dx.doi.org/10.1002/col.20168.

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39

Soltic, Snjezana, and Andrew Neil Chalmers. "Optimization of Multiband White-Light Illuminants for Specified Color Temperatures." Advances in OptoElectronics 2015 (May 25, 2015): 1–10. http://dx.doi.org/10.1155/2015/263791.

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This paper describes an effective approach for the optimization of multiband spectra to produce prospective white-light spectra having specific color temperatures. The optimization process employs a genetic algorithm known as differential evolution, which aims to minimize the color rendering differences between a prospective white-light spectrum and its corresponding reference illuminant. Color rendering is assessed by calculating the CIEDE2000 color difference (ΔE00) for 14 CIE test colors under the two sources. Optimized white-light spectra were matched to three CIE standard illuminants, tha

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40

Toschi, Eduardo Monteiro, Eliseu Aldrighi Münchow, Luísa Weber Mercado, Rafael Melara, and Sandra Liana Henz. "Análise da eficácia de dentifrícios clareadores e seus efeitos na superfície dental: um estudo in vitro." Revista da Faculdade de Odontologia de Porto Alegre 62, no. 1 (2021): 22–32. http://dx.doi.org/10.22456/2177-0018.108159.

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Tooth whitening can be performed at the dental office, at-home or upon the use of OTC (Over-the-Counter) products. Among the latter, there are whitening toothpastes that promise to bleach and to prevent tooth staining. Objectives: (1) to investigate the bleaching and abrasive potential of different whitening dentifrices to enamel; and (2) to evaluate the effect of Oral-B 3D White Perfection® (Oral-B) toothpaste in preventing staining. Materials and Methods: Bovine enamel samples were stained and brushed for 14 days with water (negative control) or with different products: Colgate Total 12® (co

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41

Hu, Jian Gan, Li Li Wang, and Zhen Liu. "The Influence of Paper Brightness on Color Reproduction of Printed Matter." Advanced Materials Research 463-464 (February 2012): 717–21. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.717.

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Paper, as an important substrate of printed matter, the performance will impact on the color reproduction. Brightness, as a key index of paper performance, affects the apparent color of paper directly. It was investigated that the printed samples with different brightness have been evaluated the influence of paper brightness on color reproduction by the methods of subjective and objective color difference evaluation. Three kinds of paper with different brightness have been selected as substrate of printed samples. The standard test color blocks have been printed to do corresponding objective c

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42

Morillas, Samuel, Luis Gómez-Robledo, Rafael Huertas, and Manuel Melgosa. "Fuzzy analysis for detection of inconsistent data in experimental datasets employed at the development of the CIEDE2000 colour-difference formula." Journal of Modern Optics 56, no. 13 (2009): 1447–56. http://dx.doi.org/10.1080/09500340902944038.

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43

Dellazzana, Fernando Zurlo, Camila Silva Rodrigues, André Mallmann, and Letícia Borges Jacques. "Optical Properties of a Glass Ceramic and an Indirect Resin Composite: Effects of Polishing and Staining." Journal of Health Sciences 21, no. 5 (2019): 512–17. http://dx.doi.org/10.17921/2447-8938.2019v21n5p512-517.

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AbstractLittle information is available about the optical behavior of glass ceramics and indirect resin composites. This study aimed to evaluate if an indirect resin composite can present similar behavior of color stability and translucency to a glass ceramic after polishing and aging in staining beverage. Specimens of a dental ceramic (IPS e.max Ceram) and an indirect resin composite (SR Adoro) were made. Half the specimens of each material were polished with disc-shaped tips. Groups were divided according to aging media: distilled water or immersion in red wine for 20 min/day during 30 days.

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44

Zheng, Shunyuan, Jiamin Sun, Qinglin Liu, Yuankai Qi, and Jianen Yan. "Overwater Image Dehazing via Cycle-Consistent Generative Adversarial Network." Electronics 9, no. 11 (2020): 1877. http://dx.doi.org/10.3390/electronics9111877.

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In contrast to images taken on land scenes, images taken over water are more prone to degradation due to the influence of the haze. However, existing image dehazing methods are mainly developed for land-scene images and perform poorly when applied to overwater images. To address this problem, we collect the first overwater image dehazing dataset and propose a Generative Adversial Network (GAN)-based method called OverWater Image Dehazing GAN (OWI-DehazeGAN). Due to the difficulties of collecting paired hazy and clean images, the dataset contains unpaired hazy and clean images taken over water.

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45

Ha, Eunjae, Joongchol Shin, and Joonki Paik. "Gated Dehazing Network via Least Square Adversarial Learning." Sensors 20, no. 21 (2020): 6311. http://dx.doi.org/10.3390/s20216311.

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In a hazy environment, visibility is reduced and objects are difficult to identify. For this reason, many dehazing techniques have been proposed to remove the haze. Especially, in the case of the atmospheric scattering model estimation-based method, there is a problem of distortion when inaccurate models are estimated. We present a novel residual-based dehazing network model to overcome the performance limitation in an atmospheric scattering model-based method. More specifically, the proposed model adopted the gate fusion network that generates the dehazed results using a residual operator. To

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46

Shang, Mi, Ling Yang, Danfei Liu, Zijie Cui, and Yunfei Zhong. "Emission Spectral Reconstruction Based on Principal Component Analysis Applied to Fluorescence Full-Color Prints." Nanoscience and Nanotechnology Letters 11, no. 10 (2019): 1349–56. http://dx.doi.org/10.1166/nnl.2019.3027.

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Color reproduction of fluorescent full-color prints depends on many factors, such as preparation of luminescent inks, ratio of luminescent inks to each other, printing technology and so on. In order to make color expression more abundant on fluorescent full-color prints, reconstruction of fluorescence emission spectrum is particularly significant. As opposed to custom methods, principal component analysis has been applied to color science permanently. The method was applied to emission spectral reconstruction in this work and the up-conversion luminescent inks were selected. 336 samples were c

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47

Albuquerque, Pedro Paulo Albuquerque Cavalcanti de, Marina Barreto Pereira Moreno, Alexander Cassandri Nishida, Ezequias Costa Rodrigues Junior, and Carlos Eduardo Francci. "Microhardness, Color Stability and Microstructural Analysis of Prefabricated Composite Resin Veneers." Journal of Health Sciences 21, no. 3 (2019): 284. http://dx.doi.org/10.17921/2447-8938.2019v21n3p284-289.

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AbstractThe aim of the work was to determine Knoop microhardness (KH), color stability (ΔE00) and microstructure of prefabricated composite resin veneers (PCRVs). Two PCRVs systems (Componeer Brilliant New Generation, Coltene, Altstätten, Switzerland; and Direct Veneer, Edelweiss, Wolfurt, Austria) were tested. KH was measured at the buccal surface of the PCRVs. Color analyze was evaluated by a spectrophotometer and ΔE00 calculated using CIEDE2000 formula. Microstructure of the PCRVs was characterized using scanning electron microscopy (SEM). Data of KH and ΔE00 were subjected to One-way ANOVA

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Polychronakis, Nick, Panagiotis Lagouvardos, Gregory Polyzois, Nikitas Sykaras, and Panagiotis Zoidis. "Color changes of polyetheretherketone (PEEK) and polyoxymethelene (POM) denture resins on single and combined staining/cleansing action by CIELab and CIEDE2000 formulas." Journal of Prosthodontic Research 64, no. 2 (2020): 159–66. http://dx.doi.org/10.1016/j.jpor.2019.06.005.

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Linhares, João M. M., José A. R. Monteiro, Ana Bailão, et al. "How Good Are RGB Cameras Retrieving Colors of Natural Scenes and Paintings?—A Study Based on Hyperspectral Imaging." Sensors 20, no. 21 (2020): 6242. http://dx.doi.org/10.3390/s20216242.

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RGB digital cameras (RGB) compress the spectral information into a trichromatic system capable of approximately representing the actual colors of objects. Although RGB digital cameras follow the same compression philosophy as the human eye (OBS), the spectral sensitivity is different. To what extent they provide the same chromatic experiences is still an open question, especially with complex images. We addressed this question by comparing the actual colors derived from spectral imaging with those obtained with RGB cameras. The data from hyperspectral imaging of 50 natural scenes and 89 painti

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de Oliveira, Dayane Carvalho Ramos Salles, Ana Paula Almeida Ayres, Mateus Garcia Rocha, et al. "Effect of Different In Vitro Aging Methods on Color Stability of a Dental Resin-Based Composite Using CIELAB and CIEDE2000 Color-Difference Formulas." Journal of Esthetic and Restorative Dentistry 27, no. 5 (2015): 322–30. http://dx.doi.org/10.1111/jerd.12155.

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