Relevant bibliographies by topics / CIEDE2000

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'CIEDE2000'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "CIEDE2000"

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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "CIEDE2000"

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RIDOLFI, LORENZO FRANCESCO GIOVANNI GINO MARIA. "CONSTRUCTION OF PERCEPTUALLY UNIFORM EUCLIDEAN COLOR SPACES BASED ON THE CIEDE2000 FORMULA." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=22445@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Nos últimos anos, diversas fórmulas de diferença de cores foram desenvolvidas para o espaço CIELAB, tais como CMC, CIE94 e CIEDE2000. Embora essas fórmulas obtenham maior precisão na medida perceptual entre cores, muitas aplicações não podem usufruir desta maior precisão, pois as distâncias euclidianas no CIELAB não são isométricas de acordo com essas novas fórmulas. Com isso, a
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Mangine, Heather Noelle. "Variability in experimental color matching conditions effects of observers, daylight simulators, and color inconstancy /." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1117549884.

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Chen, Jia-Heng, and 陳嘉亨. "Color Quantization and Application Based on Color Difference Standard CIEDE2000." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/66290397211399740206.

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碩士<br>國立高雄第一科技大學<br>電腦與通訊工程所<br>94<br>Abstract In this thesis, the new color difference standard CIEDE2000 is applied to vector quantization and digital watermarking technology. First, we describe the chromatology and the establishment of the color difference standard such that we can understand the characteristic and intrinsic of the color. Second, we apply the color difference standard to LBG vector quantization algorithm. Because traditional LBG algorithm did not consider the human visual system, the color accuracy of the quantization can be improved by using CIEDE2000. Third, we extend the
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Book chapters on the topic "CIEDE2000"

1

Luo, Ming Ronnier. "CIEDE2000, History, Use, and Performance." In Encyclopedia of Color Science and Technology. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4419-8071-7_7.

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Luo, Ming Ronnier. "CIEDE2000, History, Use, and Performance." In Encyclopedia of Color Science and Technology. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27851-8_7-1.

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Chandrakanth, T., and B. Sandhya. "Quality Assessment of Images Using SSIM Metric and CIEDE2000 Distance Methods in Lab Color Space." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12012-6_50.

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Conference papers on the topic "CIEDE2000"

1

Luo, Ming R. "CIE 2000 color difference formula: CIEDE2000." In 9th Congress of the International Color Association, edited by Robert Chung and Allan Rodrigues. SPIE, 2002. http://dx.doi.org/10.1117/12.464549.

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Chun-Hsien Chou, Kuo-Cheng Liu, and Chien-Sheng Lin. "Perceptually optimized JPEG2000 coder based on CIEDE2000 color difference equation." In rnational Conference on Image Processing. IEEE, 2005. http://dx.doi.org/10.1109/icip.2005.1530609.

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Xu, Haisong, Zhen Xiang, and Hirohisa Yaguchi. "Performance testing of CIEDE2000 color-difference formula using CRT colors." In Photonics Asia 2002, edited by Dazun Zhao, Ming R. Luo, and Kiyoharu Aizawa. SPIE, 2002. http://dx.doi.org/10.1117/12.483133.

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Rodriguez-Esparragon, Dionisio, Javier Marcello, Francisco Eugenio-Gonzalez, Angel Garcia-Pedrero, and Consuelo Gonzalo-Martin. "Assessment of the spectral quality of fused images using the CIEDE2000 distance." In 2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI). IEEE, 2017. http://dx.doi.org/10.1109/iwobi.2017.7985536.

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Berns, Roy S. "Derivation of a hue-angle dependent, hue-difference weighting function for CIEDE2000." In 9th Congress of the International Color Association, edited by Robert Chung and Allan Rodrigues. SPIE, 2002. http://dx.doi.org/10.1117/12.464638.

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Journal articles
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