Data flow in the process of two-dimensional object digitization

• Autorzy: Olejnik-Krugły A.
• Języki publikacji: EN

Abstrakty

EN

The article depicts data flow in the process of two-dimensional object digitization. Subject to analysis is RAW to TIFF transformation influence on color reproduction quality: white balansing, demoasicing with noise reduction and sharpening, color space transform, tone reproduction. Color reproduction quality is tested according to FADGI and Metamorfoze guidelines.

Słowa kluczowe

EN

cultural heritage digitization; reproduction of colors

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Journal of Theoretical and Applied Computer Science
• Rocznik: 2016
• Tom: Vol. 10, nr 1
• Strony: 3--10
• Opis fizyczny: Bibliogr. 19 poz., tab.

Twórcy

autor

Olejnik-Krugły A.

• Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland

Bibliografia

• [1] ISO 12233:2014 - Photography -- Electronic still picture imaging -- Resolution and spatial frequency responses.
• [2] US Federal Agencies Digitization Guidelines Initiative. Still Image Working Group. Technical Guidelines for Digitizing Cultural Heritage Materials, version 2, 2016.
• [3] National Library of the Netherlands. Metamorfoze Preservation Imaging Guidelines, version 1.0, 2012.
• [4] Luo M.R., Cui G., Rigg B. The development of the CIE 2000 colour-difference formula: CIEDE2000. Color Research and Application 2001; 26(5): 340–350.
• [5] Bryce E. Bayer, Color imaging array, patent number US3971065 A, published 20.07.1976
• [6] Y. Kim, H. S. Lee, A.W. Morales, A video camera system with enhanced zoom tracking and auto white balance, IEEE Trans. Consumer Electron., vol. 48, no. 3, pp. 428-434, Aug. 2002.
• [7] B. Funt and V. Cardei. Committee-based color constancy. J.Opt.Soc.Am. A, 11 (11):3011–3020, 1994
• [8] G. Sapiro, Color and illuminant voting, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 11, pp. 1210–1215, November 1999.
• [9] G.D. Finlayson, Color in perspective, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 10, pp. 1034–1038, October 1996.
• [10] D. H. Brainard, W. A. Brunt, and J. M. Speigle, Color constancy in the nearly natural image. I. Asymmetric matches, Journal of the Optical Society of America A, vol. 14, no. 9, pp. 2091–2110, September 1997.
• [11] R. Lukac, New framework for automatic white balancing of digital camera images, Signal Processing, vol. 88, no. 3, pp. 582–593, March 2008.
• [12] Sharma, Gaurav; Wu, Wencheng; Dalal, Edul N. (2005). The CIEDE2000 color-difference formula: Implementation notes, supplementary test data, and mathematical observations. Color Research & Applications. 30 (1): 21–30.
• [13] Maschal et al. Review of bayer pattern color filter array (cfa) demosaicing with new quality assessment algorithms. Technical report, U.S. Army Research Laboratory, 2010
• [14] Chuan-kai Lin, Pixel grouping for color filter array demosaicing (http://sites.google.com/site/chklin/demosaic).
• [15] Hung-An Chang, Homer H. Chen, Stochastic Color Interpolation for Digital Cameras, IEEE Transactions on circuits and systems for video technology, vol. 17, 2007.
• [16] International Color Consortium, (color.org)
• [17] Sharma Abhay, Understanding Color Management, Thomson, 2004.
• [18] International Color Consortium, Specification ICC.2:2016-07 (iccMAX) - Image technology colour management - Extensions to architecture, profile format, and data structure, 2016 (color.org/iccmax)
• [19] ArgyllCMS documentation index (V1.9.2), www.argyllcms.com.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).