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2018 | OriginalPaper | Chapter

4. Variational Methods for Gamut Mapping in Cinema and Television

Authors : Syed Waqas Zamir, Javier Vazquez-Corral, Marcelo Bertalmío

Published in: Imaging, Vision and Learning Based on Optimization and PDEs

Publisher: Springer International Publishing

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Abstract

The cinema and television industries are continuously working in the development of image features that provide a better visual experience to viewers, increasing spatial resolution, frame rate, contrast, and recently, with emerging display technologies, much more vivid colors. For this reason there is a pressing need to develop fast, automatic and reliable gamut mapping algorithms that can transform the colors of the original content, adapting it to the capabilities of the display or projector system in which it is going to be viewed while at the same time respecting the artistic intent of the creator. In this article we present a review of our work on variational methods for gamut mapping that comply with some basic global and local properties of the human visual system, producing state-of-the-art results that appear natural and are perceptually faithful to the original material.

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A. Alsam, I. Farup, Spatial colour gamut mapping by orthogonal projection of gradients onto constant hue lines, in Proceedings of 8th International Symposium on Visual Computing (2012), pp. 556–565

H. Anderson, E. Garcia, M. Gupta, Gamut expansion for video and image sets, in International Conference on Image Analysis and Processing Workshops (2007), pp. 188–191

S. Andriani, H. Brendel, T. Seybold, J. Goldstone, Beyond the Kodak image set: a new reference set of color image sequences, in IEEE International Conference on Image Processing (2013), pp. 2289–2293

R. Bala, R. Dequeiroz, R. Eschbach, W. Wu, Gamut mapping to preserve spatial luminance variations. J. Imaging Sci. Technol. 45, 122–128 (2001)

D. Bankston, The color-space conundrum, part one. American Cinematographer (2005), p. 6

Z. Barańczuk, P. Zolliker, J. Giesen, Image quality measures for evaluating gamut mapping, in Color and Imaging Conference (2009), pp. 21–26

R.S. Berns, The mathematical development of CIE TC 1–29 proposed colour difference equation: CIELCH, in Proceedings of the Seventh Congress of International Colour Association, B, C19.1–19.4 (1993)

M. Bertalmío, Image Processing for Cinema, vol. 4 (CRC Press/Taylor & Francis, Boca Raton, 2014)CrossRef

M. Bertalmío, V. Caselles, E. Provenzi, A. Rizzi, Perceptual color correction through variational techniques. IEEE Trans. Image Process. 16(4), 1058–1072 (2007)MathSciNetCrossRef

10.

M. Bertalmío, V. Caselles, E. Provenzi, Issues about Retinex theory and contrast enhancement. Int. J. Comput. Vis. 83(1), 101–119 (2009)CrossRef

11.

N. Bonnier, F. Schmitt, H. Brettel, S. Berche, Evaluation of spatial gamut mapping algorithms, in Proceedings of IS&T/SID 14th Color Imaging Conference (2006), pp. 56–61

12.

G.J. Braun, A paradigm for color gamut mapping of pictorial images. Ph.D. thesis, Rochester Institute of Technology, Rochester, 1999

13.

S.E. Casella, R.L. Heckaman, M.D. Fairchild, Mapping standard image content to wide-gamut displays, in Color and Imaging Conference (2008), pp. 106–111

14.

X. Chen, Investigation of gamut extension algorithms. Master’s thesis, University of Derby, Derby, 2002

15.

H.-C. Cheng, I. Ben-David, S.-T. Wu, Five-primary-color LCDs. J. Disp. Technol. 6(1), 3–7 (2010)CrossRef

16.

E. Chino, K. Tajiri, H. Kawakami, H. Ohira, K. Kamijo, H. Kaneko, S. Kato, Y. Ozawa, T. Kurumisawa, K. Inoue, K. Endo, H. Moriya, T. Aragaki, K. Murai, Development of wide-color-gamut mobile displays with four-primary-color LCDs. SID Symp. Dig. Tech. Pap. 37(1), 1221–1224 (2006)CrossRef

17.

CIE, Guidelines for the evaluation of gamut mapping algorithms. Technical report, CIE 156 (2004)

18.

F. Dugay, I. Farup, J.Y. Hardeberg, Perceptual evaluation of color gamut mapping algorithms. Color Res. Appl. 33(6), 470–476 (2008)CrossRef

19.

A.M. Eskicioglu, P.S. Fisher, Image quality measures and their performance. IEEE Trans. Commun. 43(12), 2959–2965 (1995)CrossRef

20.

E.A. Fedorovskaya, H. de Ridder, F.J.J. Blommaert, Chroma variations and perceived quality of color images of natural scenes. Color Res. Appl. 22(2), 96–110 (1997)CrossRef

21.

A. Ford, A. Roberts, Colour space conversions. http://www.poynton.com/PDFs/coloureq.pdf (1998)

22.

J. Froehlich, S. Grandinetti, B. Eberhardt, S. Walter, A. Schilling, H. Brendel, Creating cinematic wide gamut HDR-video for the evaluation of tone mapping operators and HDR-displays, in Proceedings of IS&T/SPIE Electronic Imaging (2014)

23.

R.S. Gentile, E. Walowitt, J.P. Allebach, A comparison of techniques for color gamut mismatch compensation. J. Imaging Technol. 16, 176–181 (1990)

24.

J.Y. Hardeberg, E. Bando, M. Pedersen, Evaluating colour image difference metrics for gamut-mapped images. Color. Technol. 124(4), 243–253 (2008)CrossRef

25.

R.L. Heckaman, J. Sullivan, Rendering digital cinema and broadcast TV content to wide gamut display media. SID Symp. Dig. Tech. Pap. 42(1), 225–228 (2011)CrossRef

26.

P.G. Herzog, M. Müller, Gamut mapping using an analytical color gamut representation, in Proceedings of Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts (1997), pp. 117–128

27.

T. Hoshino, A preferred color reproduction method for the HDTV digital still image system, in Proceedings of IS&T Symposium on Electronic Photography (1991), pp. 27–32

28.

T. Hoshino, Color estimation method for expanding a color image for reproduction in a different color gamut, May 1994. US Patent 5,317,426

29.

ITU-R Recommendation BT.709-5, Parameter values for the HDTV standards for production and international programme exchange (2002)

30.

ITU-R Recommendation BT.2020, Parameter values for ultra high definition television systems for production and international programme exchange (2012)

31.

A.J. Johnson, Perceptual requirements of digital picture processing. Paper Presented at IARAIGAI Symposium and Printed in Part in Printing World (1979)

32.

B.H. Kang, J. Morovič, M.R. Luo, M.S. Cho, Gamut compression and extension algorithms based on observer experimental data. ETRI J. 25(3), 156–170 (2003)CrossRef

33.

N. Katoh, M. Ito, Gamut mapping for computer generated images (ii), in Proceedings of 4th IS&T/SID Color Imaging Conference (1996), pp. 126–129

34.

G. Kennel, Color and Mastering for Digital Cinema: Digital Cinema Industry Handbook Series (Taylor & Francis, New York, 2007)CrossRef

35.

M.C. Kim, Y.C. Shin, Y.R. Song, S.J. Lee, I.D. Kim, Wide gamut multi-primary display for HDTV, in Proceedings of 2nd European Conference on color Graphics, Imaging and Vision (2004), pp. 248–253

36.

R. Kimmel, D. Shaked, M. Elad, I. Sobel, Space-dependent color gamut mapping: a variational approach. IEEE Trans. Image Process. 14, 796–803 (2005)CrossRef

37.

Kodak, http://r0k.us/graphics/kodak/ (1993)

38.

Y. Kusakabe, Y. Iwasaki, Y. Nishida, Wide-color-gamut super hi-vision projector, in Proceedings ITE Annual Convention (in Japanese) (2013)

39.

J. Laird, R. Muijs, J. Kuang, Development and evaluation of gamut extension algorithms. Color Res. Appl. 34(6), 443–451 (2009)CrossRef

40.

C. Lau, W. Heidrich, R. Mantiuk, Cluster-based color space optimizations, in Proceedings of IEEE International Conference on Computer Vision, ICCV ’11 (2011), pp. 1172–1179

41.

Y. Li, G. Song, H. Li, A multilevel gamut extension method for wide gamut displays, in Proceedings of International Conference on Electric Information and Control Engineering (ICEICE) (2011), pp. 1035–1038

42.

Y. Ling, Investigation of a gamut extension algorithm. Master’s thesis, University of Derby, Derby, 2001

43.

I. Lissner, J. Preiss, P. Urban, M.S. Lichtenauer, P. Zolliker, Image-difference prediction: from grayscale to color. IEEE Trans. Image Process. 22(2), 435–446 (2013)MathSciNetCrossRef

44.

Y. Liu, G. Song, H. Li, A hue-preserving gamut expansion algorithm in CIELUV color space for wide gamut displays, in Proceedings of the 3rd International Congress on Image and Signal Processing (CISP) (2010), pp. 2401–2404

45.

M.R. Luo, G. Cui, B. Rigg, The development of the CIE 2000 colour-difference formula: CIEDE2000. Color Res. Appl. 26(5), 340–350 (2001)CrossRef

46.

G. Marcu, S. Abe, Gamut mapping for color simulation on CRT devices, in Proceedings of Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts (1996)

47.

K. Masaoka, Y. Kusakabe, T. Yamashita, Y. Nishida, T. Ikeda, M. Sugawara, Algorithm design for gamut mapping from UHDTV to HDTV. J. Disp. Technol. 12(7), 760–769 (2016)CrossRef

48.

J.J. McCann, Lessons learned from mondrians applied to real images and color gamuts, in Proceedings of Color Imaging Conference (1999), pp. 1–8

49.

J.J. McCann, A spatial colour gamut calculation to optimize colour appearance, in Colour Image Science: Exploiting Digital Media (2002), pp. 213–233

50.

X. Meng, G. Song, H. Li, A human skin-color-preserving extension algorithm for wide gamut displays, in Proceedings of International Conference on Information Technology and Software Engineering. Lecture Notes in Electrical Engineering (Springer, Berlin, 2013), pp. 705–713

51.

J. Meyer, B. Barth, Color gamut matching for hard copy, in Proceedings of SID Digest (1989), pp. 86–89

52.

E.D. Montag, M.D. Fairchild, Psychophysical evaluation of gamut mapping techniques using simple rendered images and artificial gamut boundaries. IEEE Trans. Image Process. 6(7), 977–989 (1997)CrossRef

53.

J. Morovič, To develop a universal Gamut mapping algorithm. Ph.D. thesis, University of Derby, Derby, 1998

54.

J. Morovič, Color Gamut Mapping, vol. 10 (Wiley, Chichester, 2008)CrossRef

55.

J. Morovič, Y. Wang, A multi-resolution, full-colour spatial gamut mapping algorithm, in Proceedings of Color Imaging Conference (2003), pp. 282–287

56.

R. Muijs, J. Laird, J. Kuang, S. Swinkels, Subjective evaluation of gamut extension methods for wide-gamut displays, in Proceedings of the 13th International Display Workshop (2006), pp. 1429–1432

57.

G.M. Murch, J.M. Taylor, Color in computer graphics: manipulating and matching color, in Eurographics Seminar: Advances in Computer Graphics V (1989), pp. 41–47

58.

S. Nakauchi, S. Hatanaka, S. Usui, Color gamut mapping based on a perceptual image difference measure. Color Res. Appl. 24(4), 280–291 (1999)CrossRef

59.

H. Pan, S. Daly, A gamut-mapping algorithm with separate skin and non-skin color preference controls for wide-color-gamut TV. SID Symp. Dig. Tech. Pap. 39(1), 1363–1366 (2008)CrossRef

60.

M.R. Pointer, The gamut of real surface colours. Color Res. Appl. 5(3), 145–155 (1980)CrossRef

61.

C. Poynton, Contrast, brightness, and the naming of things. Poynton’s Vector 1 (2010)

62.

J. Preiss, P. Urban, Image-difference measure optimized gamut mapping, in Proceedings of IS&T/SID 20th Color Imaging Conference (2012), pp. 230–235

63.

J. Preiss, F. Fernandes, P. Urban, Color-image quality assessment: from prediction to optimization. IEEE Trans. Image Process. 23(3), 1366–1378 (2014)MathSciNetCrossRef

64.

S. Roth, I. Ben-David, M. Ben-Chorin, D. Eliav, O. Ben-David, Wide gamut, high brightness multiple primaries single panel projection displays. SID Symp. Dig. Tech. Pap. 34(1), 118–121 (2003)CrossRef

65.

J.J. Sara, The automated reproduction of pictures with nonreproducible colors. Ph.D. thesis, Massachusetts Institute of Technology, Cambridge, 1984

66.

F. Schweiger, T. Borer, M. Pindoria, Luminance-preserving colour conversion, in SMPTE Annual Technical Conference and Exhibition (2016), pp. 1–9

67.

B.D. Silverstein, A.F. Kurtz, J.R. Bietry, G.E. Nothhard, A laser-based digital cinema projector. SID Symp. Dig. Tech. Pap. 42(1), 326–329 (2011)CrossRef

68.

SMPTE RP 431-2:2011, D-cinema quality – reference projector and environment (2011)

69.

G. Song, H. Cao, H. Huang, Hue preserving multi-level expansion method based on saturation for wide gamut displays. J. Inf. Comput. Sci. 11(2), 461–472 (2014)CrossRef

70.

G. Song, X. Meng, H. Li, Y. Han, Skin color region protect algorithm for color gamut extension. J. Inf. Comput. Sci. 11(6), 1909–1916 (2014)CrossRef

71.

J.M. Taylor, G.M. Murch, P. McManus, Tektronix HVC: a uniform perceptual color system for display users, in SID Symposium Digest of Technical Papers (1989)

72.

W.S. Torgerson, A law of categorical judgment, consumer behaviour, in Consumer Behaviour (New York University Press, New York, 1954), pp. 92–93

73.

S. Ueki, K. Nakamura, Y. Yoshida, T. Mori, K. Tomizawa, Y. Narutaki, Y. Itoh, K. Okamoto, Five-primary-color 60-inch LCD with novel wide color gamut and wide viewing angle. SID Symp. Dig. Tech. Pap. 40(1), 927–930 (2009)CrossRef

74.

UGRA, UGRA GAMCOM version 1.1: Program for the color gamut compression and for the comparison of calculated and measured values. Technical report, UGRA, St. Gallen, 17 July 1995

75.

Y.-C. Yang, K. Song, S.G. Rho, N.-S. Rho, S.J. Hong, K.B. Deul, M. Hong, K. Chung, W.H. Choe, S. Lee, C.Y. Kim, S.-H. Lee, H.-R. Kim, Development of six primary-color LCD. SID Symp. Dig. Tech. Pap. 36(1), 1210–1213 (2005)CrossRef

76.

S. W. Zamir, J. Vazquez-Corral, M. Bertalmío, Gamut mapping in cinematography through perceptually-based contrast modification. IEEE J. Sel. Top. Sign. Process. 8(3), 490–503 (2014)CrossRef

77.

S.W. Zamir, J. Vazquez-Corral, M. Bertalmío, Gamut extension for cinema: psychophysical evaluation of the state of the art, and a new algorithm, in Proceedings of IS&T/SPIE Electronic Imaging (2015), pp. 1–12

78.

S.W. Zamir, J. Vazquez-Corral, M. Bertalmío, Perceptually-based gamut extension algorithm for emerging wide color gamut display and projection technologies, in SMPTE Annual Technical Conference and Exhibition (2016), pp. 1–11

79.

S.W. Zamir, J. Vazquez-Corral, M. Bertalmío, Gamut extension for cinema. IEEE Trans. Image Process. 26(4), 1595–1606 (2017)MathSciNetCrossRef

80.

S.W. Zamir, J. Vazquez-Corral, M. Bertalmío, Gamut reduction through local saturation reduction, in Color and Imaging Conference (2017), pp. 214–218

81.

P. Zolliker, K. Simon, Retaining local image information in gamut mapping algorithms. IEEE Trans. Image Process. 16(3), 664–672 (2007)MathSciNetCrossRef

Title: Variational Methods for Gamut Mapping in Cinema and Television
Authors: Syed Waqas Zamir
Javier Vazquez-Corral
Marcelo Bertalmío
Publisher: Springer International Publishing
Book: Imaging, Vision and Learning Based on Optimization and PDEs
Print ISBN: 978-3-319-91273-8

Electronic ISBN: 978-3-319-91274-5

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-91274-5_4

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