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A Framework for Harmonic Color Measures
Michel Alves dos Santos ∗
January, 2014
Abstract
This theme has as main objective to introduce a quality comparison
scale for color images that takes into account the balance or harmony
existing between set of colors of the input model/image. The main idea
is to measure the "harmonic distance" of the input model in relation to a
particular scheme but not perform the harmonization proccess.
Keywords: harmonization, image colour analysis, image processing, im-
age processing applications, image quality, mathematical models, color
harmonization methods, color harmony, local smoothness, matching func-
tion, harmonic template, pre-harmonization, harmonic analysis, signal
processing, visual artifact, color wheel, segmentation, visual perception,
human visual system.
∗Michel Alves dos Santos - Alves, M. - malves@cos.ufrj.br - http://www.michelalves.com. MSc. Candidate in
Computer Graphics, Image Processing and Computer Vision. http://www.lcg.ufrj.br - Laboratory of Computer
Graphics - LCG. Graduate Program in Systems Engineering and Computing (PESC). Alberto Luiz Coimbra In-
stitute for Graduate Studies and Research in Engineering - COPPE. Federal University of Rio de Janeiro (UFRJ -
http://www.ufrj.br), Brazil - Rio de Janeiro/RJ, Phone: (21) 8204-7102.
1
Bibliography: A Framework for Harmonic Color Measures
Michel Alves dos Santos
January, 2014
References
Adobe (2013), ‘Adobe kuler’. URL https://kuler.
adobe.com/create/color-wheel/.
Anvil Design (Redwood City, C. & Publishers, R.
(2005), Pattern + Palette Sourcebook: A Complete
Guide to Choosing the Perfect Color and Pattern in
Design, Rockport Publishers.
Baveye, Y., Urban, F., Chamaret, C., Demoulin, V.
& Hellier, P. (2013), Saliency-guided consistent co-
lor harmonization, in ‘Proceedings of the 4th Inter-
national Conference on Computational Color Ima-
ging’, CCIW’13, Springer-Verlag, Berlin, Heidelberg,
pp. 105–118. URL http://dx.doi.org/10.1007/
978-3-642-36700-7_9.
Billmeyer, F. W. (1987), ‘Survey of color order systems’,
Color Research & Application 12(4), 173–186.
Bochko, V. & Parkkinen, J. (2006), ‘A spectral co-
lor analysis and colorization technique’, Computer
Graphics and Applications, IEEE 26(5), 74–82.
Bratkova, M., Boulos, S. & Shirley, P. (2009), ‘orgb
- a practical opponent color space for compu-
ter graphics’, Computer Graphics and Applications,
IEEE 29(1), 42–55.
Burchett, K. E. (2002), ‘Color harmony’, Color Rese-
arch & Application 27(1), 28–31.
Butterfield, S., Butterfield, S., Kaufman, D. & Go-
ewey, J. (1998), Color Palettes: Atmospheric Inte-
riors Using the Donald Kaufman Color Collection,
Clarkson Potter.
Chang, Y., Saito, S., Uchikawa, K. & Nakajima, M.
(2006), ‘Example-based color stylization of images’,
ACM Transactions on Applied Perception 2(3), 322–
345.
Clifton-Mogg, C. & Williams, A. (2001), The Color
Design Source Book: Using Fabrics, Paints and Ac-
cessories for Successful Decorating, Ryland Peters
& Small.
Cohen-Or, D., Sorkine, O., Gal, R., Leyvand, T. & Xu,
Y.-Q. (2006), ‘Color harmonization’, ACM Transacti-
ons on Graphics (Proceedings of ACM SIGGRAPH)
25(3), 624–630.
Datta, R., Joshi, D., Li, J. & Wang, J. Z. (2006),
Studying aesthetics in photographic images using
a computational approach, in ‘Computer Vision–
ECCV 2006’, Springer, pp. 288–301.
Diaz, J., Marco, J. & Vazquez, P. (2010), Cost-effective
feature enhancement for volume datasets, in ‘15th
International Workshop on Vision, Modeling and
Visualization’, pp. 187–194.
Dorrell, P. (2004), Living the Artist’s Life: A Guide
to Growing, Persevering and Succeeding in the Art
World, Hillstead Pub.
Eiseman, L., Recker, K. & Pantone, I. (2011), Pantone:
The Twentieth Century in Color, Chronicle Books.
Feisner, E. (2006), Colour: How to Use Colour in Art
and Design, Laurence King.
Gerritsen, F. (1975), Theory and practice of color: a
color theory based on laws of perception, Cengage
Learning.
Gerritsen, F. (1988), Evolution in color, Schiffer Pub.
Gooch, A. A., Olsen, S. C., Tumblin, J. & Gooch, B.
(2005), ‘Color2gray: salience-preserving color remo-
val’, ACM Trans. Graph. 24(3), 634–639.
Granville, W. C. (1987), ‘Color harmony: What is it?’,
Color Research & Application 12(4), 196–201.
Granville, W. C. & Jacobson, E. (1944), ‘Colorime-
tric specification of the color harmony manual from
spectrophotometric measurements’, J. Opt. Soc. Am.
34(7), 382–393.
Gruber, L., Kalkofen, D. & Schmalstieg, D. (2010), Co-
lor harmonization for augmented reality, in ‘Mixed
and Augmented Reality (ISMAR), 2010 9th IEEE
International Symposium on’, pp. 227–228.
Guo, Y. W., Liu, M., Gu, T. T. & Wang, W. P. (2012),
‘Improving photo composition elegantly: Conside-
ring image similarity during composition optimiza-
tion’, Comp. Graph. Forum 31(7pt2), 2193–2202.
Haber, J., Lynch, S. & Carpendale, S. (2011), Colour-
vis: exploring colour usage in paintings over time,
in ‘Proceedings of the International Symposium on
Computational Aesthetics in Graphics, Visualiza-
tion, and Imaging’, CAe ’11, ACM, New York, NY,
USA, pp. 105–112.
1
REFERENCES 2
Hascoet, M. (2012), Visual color design, in ‘Infor-
mation Visualisation (IV), 2012 16th International
Conference on’, IEEE, pp. 62–67.
Hirano, K. & Miyamichi, J. (1992), ‘Construction
of neural networks to select harmonious color
combinations’, Systems and Computers in Japan
23(10), 42–53.
Holtzschue, L. (2002), Understanding Color, John Wi-
ley & Sons. Inc., New York.
Hou, X. & Zhang, L. (2007), Color conceptualiza-
tion, in ‘Proceedings of the 15th international con-
ference on Multimedia’, MULTIMEDIA ’07, ACM,
New York, NY, USA, pp. 265–268. URL http:
//doi.acm.org/10.1145/1291233.1291288.
Huang, H., Zang, Y. & Li, C.-F. (2010a), ‘Example-
based painting guided by color features’, Vis. Com-
put. 26(6-8), 933–942.
Huang, H., Zang, Y. & Li, C.-F. (2010b), ‘Example-
based painting guided by color features’, The Visual
Computer 26(6-8), 933–942.
Huo, X. & Tan, J. (2009), An improved method for
color harmonization, in ‘Image and Signal Proces-
sing, 2009. CISP ’09. 2nd International Congress
on’, pp. 1–4.
Irony, R., Cohen-Or, D. & Lischinski, D. (2005), Colo-
rization by example, in ‘Proceedings of the Sixteenth
Eurographics conference on Rendering Techniques’,
Eurographics Association, pp. 201–210.
Itten, J. (1960), The Art of Color, New York: Van
Nostrand Reinhold Company.
Jennings, S. (2003), Artist’s Color Manual: The Com-
plete Guide to Working with Color, Chronicle Books.
Kelly, K. L. & Judd, D. B. (1976), Color: universal lan-
guage and dictionary of names, Vol. 440, US Depart-
ment of Commerce, National Bureau of Standards.
Kopacz, J. (2004), Color in Three-dimensional Design,
McGraw-Hill.
Krause, J. (2002), Color Index: Over 1,000 Color Com-
binations, CMYK and RGB Formulas, for Print and
Web Media, F & W Publications, Incorporated.
Lalonde, J.-F. & Efros, A. A. (2007), Using color com-
patibility for assessing image realism, in ‘Computer
Vision, 2007. ICCV 2007. IEEE 11th International
Conference on’, IEEE, pp. 1–8.
Levin, A., Lischinski, D. & Weiss, Y. (2004), ‘Co-
lorization using optimization’, ACM Trans. Graph.
23(3), 689–694.
Li, C. & Chen, T. (2009), ‘Aesthetic visual quality as-
sessment of paintings’, Selected Topics in Signal Pro-
cessing, IEEE Journal of 3(2), 236–252.
Lindner, A., Shaji, A., Bonnier, N. & Susstrunk,
S. (2012), Joint statistical analysis of images and
keywords, ACM, New York, NY, USA, pp. 489–498.
Liu, L., Chen, R., Wolf, L. & Cohen-Or, D. (2010), Op-
timizing photo composition, in ‘Computer Graphics
Forum’, Vol. 29, Wiley Online Library, pp. 469–478.
Luan, Q., Wen, F., Cohen-Or, D., Liang, L., Xu, Y.-
Q. & Shum, H.-Y. (2007), Natural image coloriza-
tion, in ‘Proceedings of the 18th Eurographics con-
ference on Rendering Techniques’, Eurographics As-
sociation, pp. 309–320.
Luo, Y. & Tang, X. (2008a), Photo and video quality
evaluation: Focusing on the subject, in ‘Computer
Vision–ECCV 2008’, Springer, pp. 386–399.
Luo, Y. & Tang, X. (2008b), Photo and video quality
evaluation: Focusing on the subject, in ‘Computer
Vision–ECCV 2008’, Springer, pp. 386–399.
Mahnke, F. (1996), Color, Environment, and Human
Response: An Interdisciplinary Understanding of Co-
lor and Its Use as a Beneficial Element in the Design
of the Architectural Environment, Interior Design
Series, Wiley.
Matsuda, Y. (1995), Color Design, Asakura Shoten (in
Japanese), Tokio, Japan.
Meier, B. J. (1988), Ace: a color expert system for
user interface design, in ‘Proceedings of the 1st an-
nual ACM SIGGRAPH symposium on User Inter-
face Software’, UIST ’88, ACM, New York, NY, USA,
pp. 117–128.
Monsef, D. (2013), ‘Colourlovers’. URL http://www.
colourlovers.com/.
Moon, P. & Spencer, D. E. (1944), ‘Geometric formula-
tion of classical color harmony’, JOSA 34(1), 46–50.
Morovic, J. & Luo, M. R. (2001), ‘The fundamentals of
gamut mapping: A survey’, pp. 283–290.
Morse, B. S., Thornton, D., Xia, Q. & Uibel, J. (2007),
Image-based color schemes, in ‘Image Processing,
2007. ICIP 2007. IEEE International Conference on’,
Vol. 3, IEEE, pp. III–497.
Morton, J. L. (2013), ‘Basic color theory’. URL http:
//www.colormatters.com.
Munsell, A. H. (1969), A grammar of color: a basic
treatise on the color system, Van Nostrand Reinhold
Co. GoetheBook.
Nack, F., Manniesing, A. & Hardman, L. (2003), Co-
lour picking: the pecking prder of form and func-
tion, in ‘Proceedings of the eleventh ACM internati-
onal conference on Multimedia’, MULTIMEDIA ’03,
ACM, New York, NY, USA, pp. 279–282.
REFERENCES 3
Neumann, A. & Neumann, L. (2005), Color style
transfer techniques using hue, lightness and satura-
tion histogram matching, in ‘Computational Aesthe-
tics’05’, pp. 111–122.
Neumann, L., Nemcsics, A. & Neumann, A. (2005),
Computational color harmony based on coloroid
system, in ‘First Eurographics conference on Com-
putational Aesthetics in Graphics’, Eurographics As-
sociation, pp. 231–240.
Neves, P. S., Pereira, A. C. & Gonçalves, B. (2013),
‘O conceito de harmonização cromática aplicado em
ambientes internos’.
Obrador, P. (2006), Automatic color scheme picker for
document templates based on image analysis and
dual problem, in ‘Electronic Imaging 2006’, Interna-
tional Society for Optics and Photonics, pp. 607609–
607609.
Obrador, P., Saad, M. A., Suryanarayan, P. & Oliver,
N. (2012), Towards category-based aesthetic models
of photographs, in ‘Proceedings of the 18th internati-
onal conference on Advances in Multimedia Mode-
ling’, Springer-Verlag, Berlin, Heidelberg, pp. 63–76.
O’Connor, Z. (2010), ‘Colour harmony revisited’, Color
Research & Application 35(4), 267–273.
O’Donovan, P., Agarwala, A. & Hertzmann, A. (2011),
Color compatibility from large datasets, in ‘ACM
SIGGRAPH 2011 papers’, SIGGRAPH ’11, ACM, New
York, NY, USA, pp. 63:1–63:12.
Ostwald, W. & Birren, F. (1969), The Color Primer,
Van Nostrand Reinhold Company, New York, USA.
Peng, H.-Y., Yang, C. & Wu, C.-H. (2013), ‘Dip final
project report - color harmonization’. URL http:
//www-scf.usc.edu/~hsuanyup/Projects.html.
Phillips, J. (2013), ‘20 color combination tools for de-
signers - spyrestudios’. URL http://spyrestudios.
com/color-combination-tools/.
Press, W. H., Teukolsky, S. A., Vetterling, W. T. &
Flannery, B. P. (1992), Numerical Recipes in C: The
Art of Scientific Computing, 2nd ed., Cambridge Uni-
versity Press, New York, NY, USA.
Rasche, K., Geist, R. & Westall, J. (2005), ‘Re-coloring
images for gamuts of lower dimension’, Computer
Graphics Forum 24(3), 423–432. URL http://dx.
doi.org/10.1111/j.1467-8659.2005.00867.x.
Reinhard, E., Ashikhmin, M., Gooch, B. & Shirley, P.
(2001), ‘Color transfer between images’, IEEE Com-
put. Graph. Appl. 21(5), 34–41.
Sato, Y. & Tajima, J. (1995), A color scheme supporting
method in a color design system, in ‘SPIE’, Vol. 2411,
pp. 25–33.
Sauvaget, C. & Boyer, V. (2010), Harmonic coloriza-
tion using proportion contrast, ACM, New York, NY,
USA, pp. 63–69.
Sauvaget, C., Manuel, S., Vittaut, J.-N., Suarez, J.
& Boyer, V. (2010), Segmented images colorization
using harmony, in ‘Signal-Image Technology and
Internet-Based Systems (SITIS), 2010 Sixth Interna-
tional Conference on’, pp. 153–160.
Sawant, N. & Mitra, N. (2008), Color harmonization
for videos, in ‘Computer Vision, Graphics Image
Processing, 2008. ICVGIP ’08. Sixth Indian Con-
ference on’, pp. 576–582.
Seo, S., Park, Y. & Ostromoukhov, V. (2013), ‘Image
recoloring using linear template mapping’, Multi-
media Tools Appl. 64(2), 293–308. URL http:
//dx.doi.org/10.1007/s11042-012-1024-1.
Shapira, L., Shamir, A. & Cohen-Or, D. (2009), Image
appearance exploration by model-based navigation,
in ‘Computer Graphics Forum’, Vol. 28, Wiley On-
line Library, pp. 629–638.
Sherin, A. (2011), Design Elements, Color Fundamen-
tals: A Graphic Style Manual for Understanding how
Color Impacts Design, Rockport Publishers.
Silvestrini, N. & Fischer, E. P. (2013), ‘Colorsystem:
Colour order systems in art and science.’. URL
http://www.colorsystem.com/?lang=en.
Starmer, A. (2005), The Color Scheme Bible: Inspirati-
onal Palettes For Designing Home Interiors, Firefly
Books, Limited.
Suganuma, K., Sugita, J. & Takahashi, T. (2008), Co-
lorization using harmonic templates, in ‘ACM SIG-
GRAPH 2008 posters’, SIGGRAPH ’08, ACM, New
York, NY, USA, pp. 62:1–62:1.
Sun, M., Sun, Q. & Xu, X. (2009), Color harmony ba-
sed on fitting functions, in ‘Information Technology
and Applications, 2009. IFITA’09. International Fo-
rum on’, Vol. 1, IEEE, pp. 165–167.
Sunkavalli, K., Johnson, M. K., Matusik, W. & Pfister,
H. (2010a), ‘Multi-scale image harmonization’, ACM
Trans. Graph. 29(4), 125:1–125:10.
Sunkavalli, K., Johnson, M. K., Matusik, W. & Pfister,
H. (2010b), ‘Multi-scale image harmonization’, ACM
Transactions on Graphics (TOG) 29(4), 125.
Tanaka, G., Suetake, N. & Uchino, E. (2010), ‘Color
transfer based on normalized cumulative hue histo-
grams.’, JACIII 14(2), 185–192.
Tang, Z., Miao, Z. & Wan, Y. (2010), Image composi-
tion with color harmonization, in ‘Image and Vision
Computing New Zealand (IVCNZ), 2010 25th Inter-
national Conference of’, pp. 1–8.
REFERENCES 4
Tang, Z., Miao, Z., Wan, Y. & Jesse, F. F. (2011a), ‘Co-
lour harmonisation for images and videos via two-
level graph cut’, Image Processing, IET 5(7), 630–
643.
Tang, Z., Miao, Z., Wan, Y. & Wang, Z. (2011b), ‘Co-
lor harmonization for images’, Journal of Electronic
Imaging 20(2), 023001–023001.
Tangaz, T. (2006), Interior Design Course, Interior De-
sign Course: Principles, Practices and Techniques
for the Aspiring Designer, Barron’s Educational Se-
ries, Incorporated.
Tokumaru, M., Muranaka, N. & Imanishi, S. (2002),
Color design support system considering color har-
mony, in ‘Fuzzy Systems, 2002. FUZZ-IEEE’02. Pro-
ceedings of the 2002 IEEE International Conference
on’, Vol. 1, pp. 378–383.
von Goethe, J. W. (1971), Goethe’s Color Theory. Trans-
lated by Rupprecht Matthei, Van Nostrand Reinhold
Co., New York, USA.
Wang, B., Yu, Y. & Xu, Y.-Q. (2011), ‘Example-based
image color and tone style enhancement’, ACM
Trans. Graph. 30(4), 64:1–64:12.
Wang, B., Yu, Y., Wong, T.-T., Chen, C. & Xu, Y.-
Q. (2010), Data-driven image color theme enhan-
cement, in ‘ACM SIGGRAPH Asia 2010 papers’,
SIGGRAPH ASIA ’10, ACM, New York, NY, USA,
pp. 146:1–146:10.
Wang, C., Zhang, R. & Deng, F. (2009), ‘Image com-
position with color harmonization’, Chinese Optics
Letters 7(6), 483–485.
Wang, L. & Mueller, K. (2008a), Harmonic color-
maps for volume visualization, in ‘Proceedings of
the Fifth Eurographics / IEEE VGTC conference
on Point-Based Graphics’, SPBG’08, Eurographics
Association, Aire-la-Ville, Switzerland, Switzerland,
pp. 33–39. URL http://dx.doi.org/10.2312/VG/
VG-PBG08/033-039.
Wang, L. & Mueller, K. (2008b), Harmonic color-
maps for volume visualization, in ‘Proceedings of
the Fifth Eurographics/IEEE VGTC conference on
Point-Based Graphics’, Eurographics Association,
pp. 33–39.
Wang, L., Giesen, J., McDonnell, K. T., Zolliker, P.
& Mueller, K. (2008), ‘Color design for illustrative
visualization’, IEEE Transactions on Visualization
and Computer Graphics 14(6), 1739–1754.
Wang, X., Jia, J., Liao, H. & Cai, L. (2012a), ‘Affec-
tive image colorization’, Journal of Computer Sci-
ence and Technology 27(6), 1119–1128.
Wang, X., Jia, J., Liao, H. & Cai, L. (2012b), Image
colorization with an affective word, in ‘Proceedings
of the First international conference on Computatio-
nal Visual Media’, CVM’12, Springer-Verlag, Berlin,
Heidelberg, pp. 51–58.
Wang, X., Jia, J., Liao, H. & Cai, L. (2012c), Image co-
lorization with an affective word, in ‘Computational
Visual Media’, Springer, pp. 51–58.
Welsh, T., Ashikhmin, M. & Mueller, K. (2002),
‘Transferring color to greyscale images’, ACM Trans.
Graph. 21(3), 277–280.
Westland, S., Laycock, K., Cheung, V., Henry, P. &
Mahyar, F. (2012), ‘Colour harmony’, JAIC-Journal
of the International Colour Association.
Wong, W. (1997), Principles of Color Design, Wiley.
Xue, S., Agarwala, A., Dorsey, J. & Rushmeier, H.
(2012), ‘Understanding and improving the realism of
image composites’, ACM Trans. Graph. 31(4), 84:1–
84:10.
Yao, L., Suryanarayan, P., Qiao, M., Wang, J. Z. & Li,
J. (2012), ‘Oscar: On-site composition and aesthetics
feedback through exemplars for photographers’, Int.
J. Comput. Vision 96(3), 353–383. URL http://dx.
doi.org/10.1007/s11263-011-0478-3.
Yeh, C.-H., Ng, W.-S., Barsky, B. A. & Ouhyoung, M.
(2009), An esthetics rule-based ranking system for
amateur photos, in ‘ACM SIGGRAPH ASIA 2009
Sketches’, SIGGRAPH ASIA ’09, ACM, New York,
NY, USA, pp. 24:1–24:1.
Zajonc, A. G. (1976), ‘Goethe’s theory of color and
scientific intuition’, American Journal of Physics
44, 327.
Zhang, S.-H., Li, X.-Y., Hu, S.-M. & Martin, R. R.
(2011), ‘Online video stream abstraction and styli-
zation’, IEEE Transactions on Multimedia pp. 1286–
1294.

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A Framework for Harmonic Color Measures

  • 1. A Framework for Harmonic Color Measures Michel Alves dos Santos ∗ January, 2014 Abstract This theme has as main objective to introduce a quality comparison scale for color images that takes into account the balance or harmony existing between set of colors of the input model/image. The main idea is to measure the "harmonic distance" of the input model in relation to a particular scheme but not perform the harmonization proccess. Keywords: harmonization, image colour analysis, image processing, im- age processing applications, image quality, mathematical models, color harmonization methods, color harmony, local smoothness, matching func- tion, harmonic template, pre-harmonization, harmonic analysis, signal processing, visual artifact, color wheel, segmentation, visual perception, human visual system. ∗Michel Alves dos Santos - Alves, M. - malves@cos.ufrj.br - http://www.michelalves.com. MSc. Candidate in Computer Graphics, Image Processing and Computer Vision. http://www.lcg.ufrj.br - Laboratory of Computer Graphics - LCG. Graduate Program in Systems Engineering and Computing (PESC). Alberto Luiz Coimbra In- stitute for Graduate Studies and Research in Engineering - COPPE. Federal University of Rio de Janeiro (UFRJ - http://www.ufrj.br), Brazil - Rio de Janeiro/RJ, Phone: (21) 8204-7102. 1
  • 2. Bibliography: A Framework for Harmonic Color Measures Michel Alves dos Santos January, 2014 References Adobe (2013), ‘Adobe kuler’. URL https://kuler. adobe.com/create/color-wheel/. Anvil Design (Redwood City, C. & Publishers, R. (2005), Pattern + Palette Sourcebook: A Complete Guide to Choosing the Perfect Color and Pattern in Design, Rockport Publishers. Baveye, Y., Urban, F., Chamaret, C., Demoulin, V. & Hellier, P. (2013), Saliency-guided consistent co- lor harmonization, in ‘Proceedings of the 4th Inter- national Conference on Computational Color Ima- ging’, CCIW’13, Springer-Verlag, Berlin, Heidelberg, pp. 105–118. URL http://dx.doi.org/10.1007/ 978-3-642-36700-7_9. Billmeyer, F. W. (1987), ‘Survey of color order systems’, Color Research & Application 12(4), 173–186. Bochko, V. & Parkkinen, J. (2006), ‘A spectral co- lor analysis and colorization technique’, Computer Graphics and Applications, IEEE 26(5), 74–82. Bratkova, M., Boulos, S. & Shirley, P. (2009), ‘orgb - a practical opponent color space for compu- ter graphics’, Computer Graphics and Applications, IEEE 29(1), 42–55. Burchett, K. E. (2002), ‘Color harmony’, Color Rese- arch & Application 27(1), 28–31. Butterfield, S., Butterfield, S., Kaufman, D. & Go- ewey, J. (1998), Color Palettes: Atmospheric Inte- riors Using the Donald Kaufman Color Collection, Clarkson Potter. Chang, Y., Saito, S., Uchikawa, K. & Nakajima, M. (2006), ‘Example-based color stylization of images’, ACM Transactions on Applied Perception 2(3), 322– 345. Clifton-Mogg, C. & Williams, A. (2001), The Color Design Source Book: Using Fabrics, Paints and Ac- cessories for Successful Decorating, Ryland Peters & Small. Cohen-Or, D., Sorkine, O., Gal, R., Leyvand, T. & Xu, Y.-Q. (2006), ‘Color harmonization’, ACM Transacti- ons on Graphics (Proceedings of ACM SIGGRAPH) 25(3), 624–630. Datta, R., Joshi, D., Li, J. & Wang, J. Z. (2006), Studying aesthetics in photographic images using a computational approach, in ‘Computer Vision– ECCV 2006’, Springer, pp. 288–301. Diaz, J., Marco, J. & Vazquez, P. (2010), Cost-effective feature enhancement for volume datasets, in ‘15th International Workshop on Vision, Modeling and Visualization’, pp. 187–194. Dorrell, P. (2004), Living the Artist’s Life: A Guide to Growing, Persevering and Succeeding in the Art World, Hillstead Pub. Eiseman, L., Recker, K. & Pantone, I. (2011), Pantone: The Twentieth Century in Color, Chronicle Books. Feisner, E. (2006), Colour: How to Use Colour in Art and Design, Laurence King. Gerritsen, F. (1975), Theory and practice of color: a color theory based on laws of perception, Cengage Learning. Gerritsen, F. (1988), Evolution in color, Schiffer Pub. Gooch, A. A., Olsen, S. C., Tumblin, J. & Gooch, B. (2005), ‘Color2gray: salience-preserving color remo- val’, ACM Trans. Graph. 24(3), 634–639. Granville, W. C. (1987), ‘Color harmony: What is it?’, Color Research & Application 12(4), 196–201. Granville, W. C. & Jacobson, E. (1944), ‘Colorime- tric specification of the color harmony manual from spectrophotometric measurements’, J. Opt. Soc. Am. 34(7), 382–393. Gruber, L., Kalkofen, D. & Schmalstieg, D. (2010), Co- lor harmonization for augmented reality, in ‘Mixed and Augmented Reality (ISMAR), 2010 9th IEEE International Symposium on’, pp. 227–228. Guo, Y. W., Liu, M., Gu, T. T. & Wang, W. P. (2012), ‘Improving photo composition elegantly: Conside- ring image similarity during composition optimiza- tion’, Comp. Graph. Forum 31(7pt2), 2193–2202. Haber, J., Lynch, S. & Carpendale, S. (2011), Colour- vis: exploring colour usage in paintings over time, in ‘Proceedings of the International Symposium on Computational Aesthetics in Graphics, Visualiza- tion, and Imaging’, CAe ’11, ACM, New York, NY, USA, pp. 105–112. 1
  • 3. REFERENCES 2 Hascoet, M. (2012), Visual color design, in ‘Infor- mation Visualisation (IV), 2012 16th International Conference on’, IEEE, pp. 62–67. Hirano, K. & Miyamichi, J. (1992), ‘Construction of neural networks to select harmonious color combinations’, Systems and Computers in Japan 23(10), 42–53. Holtzschue, L. (2002), Understanding Color, John Wi- ley & Sons. Inc., New York. Hou, X. & Zhang, L. (2007), Color conceptualiza- tion, in ‘Proceedings of the 15th international con- ference on Multimedia’, MULTIMEDIA ’07, ACM, New York, NY, USA, pp. 265–268. URL http: //doi.acm.org/10.1145/1291233.1291288. Huang, H., Zang, Y. & Li, C.-F. (2010a), ‘Example- based painting guided by color features’, Vis. Com- put. 26(6-8), 933–942. Huang, H., Zang, Y. & Li, C.-F. (2010b), ‘Example- based painting guided by color features’, The Visual Computer 26(6-8), 933–942. Huo, X. & Tan, J. (2009), An improved method for color harmonization, in ‘Image and Signal Proces- sing, 2009. CISP ’09. 2nd International Congress on’, pp. 1–4. Irony, R., Cohen-Or, D. & Lischinski, D. (2005), Colo- rization by example, in ‘Proceedings of the Sixteenth Eurographics conference on Rendering Techniques’, Eurographics Association, pp. 201–210. Itten, J. (1960), The Art of Color, New York: Van Nostrand Reinhold Company. Jennings, S. (2003), Artist’s Color Manual: The Com- plete Guide to Working with Color, Chronicle Books. Kelly, K. L. & Judd, D. B. (1976), Color: universal lan- guage and dictionary of names, Vol. 440, US Depart- ment of Commerce, National Bureau of Standards. Kopacz, J. (2004), Color in Three-dimensional Design, McGraw-Hill. Krause, J. (2002), Color Index: Over 1,000 Color Com- binations, CMYK and RGB Formulas, for Print and Web Media, F & W Publications, Incorporated. Lalonde, J.-F. & Efros, A. A. (2007), Using color com- patibility for assessing image realism, in ‘Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on’, IEEE, pp. 1–8. Levin, A., Lischinski, D. & Weiss, Y. (2004), ‘Co- lorization using optimization’, ACM Trans. Graph. 23(3), 689–694. Li, C. & Chen, T. (2009), ‘Aesthetic visual quality as- sessment of paintings’, Selected Topics in Signal Pro- cessing, IEEE Journal of 3(2), 236–252. Lindner, A., Shaji, A., Bonnier, N. & Susstrunk, S. (2012), Joint statistical analysis of images and keywords, ACM, New York, NY, USA, pp. 489–498. Liu, L., Chen, R., Wolf, L. & Cohen-Or, D. (2010), Op- timizing photo composition, in ‘Computer Graphics Forum’, Vol. 29, Wiley Online Library, pp. 469–478. Luan, Q., Wen, F., Cohen-Or, D., Liang, L., Xu, Y.- Q. & Shum, H.-Y. (2007), Natural image coloriza- tion, in ‘Proceedings of the 18th Eurographics con- ference on Rendering Techniques’, Eurographics As- sociation, pp. 309–320. Luo, Y. & Tang, X. (2008a), Photo and video quality evaluation: Focusing on the subject, in ‘Computer Vision–ECCV 2008’, Springer, pp. 386–399. Luo, Y. & Tang, X. (2008b), Photo and video quality evaluation: Focusing on the subject, in ‘Computer Vision–ECCV 2008’, Springer, pp. 386–399. Mahnke, F. (1996), Color, Environment, and Human Response: An Interdisciplinary Understanding of Co- lor and Its Use as a Beneficial Element in the Design of the Architectural Environment, Interior Design Series, Wiley. Matsuda, Y. (1995), Color Design, Asakura Shoten (in Japanese), Tokio, Japan. Meier, B. J. (1988), Ace: a color expert system for user interface design, in ‘Proceedings of the 1st an- nual ACM SIGGRAPH symposium on User Inter- face Software’, UIST ’88, ACM, New York, NY, USA, pp. 117–128. Monsef, D. (2013), ‘Colourlovers’. URL http://www. colourlovers.com/. Moon, P. & Spencer, D. E. (1944), ‘Geometric formula- tion of classical color harmony’, JOSA 34(1), 46–50. Morovic, J. & Luo, M. R. (2001), ‘The fundamentals of gamut mapping: A survey’, pp. 283–290. Morse, B. S., Thornton, D., Xia, Q. & Uibel, J. (2007), Image-based color schemes, in ‘Image Processing, 2007. ICIP 2007. IEEE International Conference on’, Vol. 3, IEEE, pp. III–497. Morton, J. L. (2013), ‘Basic color theory’. URL http: //www.colormatters.com. Munsell, A. H. (1969), A grammar of color: a basic treatise on the color system, Van Nostrand Reinhold Co. GoetheBook. Nack, F., Manniesing, A. & Hardman, L. (2003), Co- lour picking: the pecking prder of form and func- tion, in ‘Proceedings of the eleventh ACM internati- onal conference on Multimedia’, MULTIMEDIA ’03, ACM, New York, NY, USA, pp. 279–282.
  • 4. REFERENCES 3 Neumann, A. & Neumann, L. (2005), Color style transfer techniques using hue, lightness and satura- tion histogram matching, in ‘Computational Aesthe- tics’05’, pp. 111–122. Neumann, L., Nemcsics, A. & Neumann, A. (2005), Computational color harmony based on coloroid system, in ‘First Eurographics conference on Com- putational Aesthetics in Graphics’, Eurographics As- sociation, pp. 231–240. Neves, P. S., Pereira, A. C. & Gonçalves, B. (2013), ‘O conceito de harmonização cromática aplicado em ambientes internos’. Obrador, P. (2006), Automatic color scheme picker for document templates based on image analysis and dual problem, in ‘Electronic Imaging 2006’, Interna- tional Society for Optics and Photonics, pp. 607609– 607609. Obrador, P., Saad, M. A., Suryanarayan, P. & Oliver, N. (2012), Towards category-based aesthetic models of photographs, in ‘Proceedings of the 18th internati- onal conference on Advances in Multimedia Mode- ling’, Springer-Verlag, Berlin, Heidelberg, pp. 63–76. O’Connor, Z. (2010), ‘Colour harmony revisited’, Color Research & Application 35(4), 267–273. O’Donovan, P., Agarwala, A. & Hertzmann, A. (2011), Color compatibility from large datasets, in ‘ACM SIGGRAPH 2011 papers’, SIGGRAPH ’11, ACM, New York, NY, USA, pp. 63:1–63:12. Ostwald, W. & Birren, F. (1969), The Color Primer, Van Nostrand Reinhold Company, New York, USA. Peng, H.-Y., Yang, C. & Wu, C.-H. (2013), ‘Dip final project report - color harmonization’. URL http: //www-scf.usc.edu/~hsuanyup/Projects.html. Phillips, J. (2013), ‘20 color combination tools for de- signers - spyrestudios’. URL http://spyrestudios. com/color-combination-tools/. Press, W. H., Teukolsky, S. A., Vetterling, W. T. & Flannery, B. P. (1992), Numerical Recipes in C: The Art of Scientific Computing, 2nd ed., Cambridge Uni- versity Press, New York, NY, USA. Rasche, K., Geist, R. & Westall, J. (2005), ‘Re-coloring images for gamuts of lower dimension’, Computer Graphics Forum 24(3), 423–432. URL http://dx. doi.org/10.1111/j.1467-8659.2005.00867.x. Reinhard, E., Ashikhmin, M., Gooch, B. & Shirley, P. (2001), ‘Color transfer between images’, IEEE Com- put. Graph. Appl. 21(5), 34–41. Sato, Y. & Tajima, J. (1995), A color scheme supporting method in a color design system, in ‘SPIE’, Vol. 2411, pp. 25–33. Sauvaget, C. & Boyer, V. (2010), Harmonic coloriza- tion using proportion contrast, ACM, New York, NY, USA, pp. 63–69. Sauvaget, C., Manuel, S., Vittaut, J.-N., Suarez, J. & Boyer, V. (2010), Segmented images colorization using harmony, in ‘Signal-Image Technology and Internet-Based Systems (SITIS), 2010 Sixth Interna- tional Conference on’, pp. 153–160. Sawant, N. & Mitra, N. (2008), Color harmonization for videos, in ‘Computer Vision, Graphics Image Processing, 2008. ICVGIP ’08. Sixth Indian Con- ference on’, pp. 576–582. Seo, S., Park, Y. & Ostromoukhov, V. (2013), ‘Image recoloring using linear template mapping’, Multi- media Tools Appl. 64(2), 293–308. URL http: //dx.doi.org/10.1007/s11042-012-1024-1. Shapira, L., Shamir, A. & Cohen-Or, D. (2009), Image appearance exploration by model-based navigation, in ‘Computer Graphics Forum’, Vol. 28, Wiley On- line Library, pp. 629–638. Sherin, A. (2011), Design Elements, Color Fundamen- tals: A Graphic Style Manual for Understanding how Color Impacts Design, Rockport Publishers. Silvestrini, N. & Fischer, E. P. (2013), ‘Colorsystem: Colour order systems in art and science.’. URL http://www.colorsystem.com/?lang=en. Starmer, A. (2005), The Color Scheme Bible: Inspirati- onal Palettes For Designing Home Interiors, Firefly Books, Limited. Suganuma, K., Sugita, J. & Takahashi, T. (2008), Co- lorization using harmonic templates, in ‘ACM SIG- GRAPH 2008 posters’, SIGGRAPH ’08, ACM, New York, NY, USA, pp. 62:1–62:1. Sun, M., Sun, Q. & Xu, X. (2009), Color harmony ba- sed on fitting functions, in ‘Information Technology and Applications, 2009. IFITA’09. International Fo- rum on’, Vol. 1, IEEE, pp. 165–167. Sunkavalli, K., Johnson, M. K., Matusik, W. & Pfister, H. (2010a), ‘Multi-scale image harmonization’, ACM Trans. Graph. 29(4), 125:1–125:10. Sunkavalli, K., Johnson, M. K., Matusik, W. & Pfister, H. (2010b), ‘Multi-scale image harmonization’, ACM Transactions on Graphics (TOG) 29(4), 125. Tanaka, G., Suetake, N. & Uchino, E. (2010), ‘Color transfer based on normalized cumulative hue histo- grams.’, JACIII 14(2), 185–192. Tang, Z., Miao, Z. & Wan, Y. (2010), Image composi- tion with color harmonization, in ‘Image and Vision Computing New Zealand (IVCNZ), 2010 25th Inter- national Conference of’, pp. 1–8.
  • 5. REFERENCES 4 Tang, Z., Miao, Z., Wan, Y. & Jesse, F. F. (2011a), ‘Co- lour harmonisation for images and videos via two- level graph cut’, Image Processing, IET 5(7), 630– 643. Tang, Z., Miao, Z., Wan, Y. & Wang, Z. (2011b), ‘Co- lor harmonization for images’, Journal of Electronic Imaging 20(2), 023001–023001. Tangaz, T. (2006), Interior Design Course, Interior De- sign Course: Principles, Practices and Techniques for the Aspiring Designer, Barron’s Educational Se- ries, Incorporated. Tokumaru, M., Muranaka, N. & Imanishi, S. (2002), Color design support system considering color har- mony, in ‘Fuzzy Systems, 2002. FUZZ-IEEE’02. Pro- ceedings of the 2002 IEEE International Conference on’, Vol. 1, pp. 378–383. von Goethe, J. W. (1971), Goethe’s Color Theory. Trans- lated by Rupprecht Matthei, Van Nostrand Reinhold Co., New York, USA. Wang, B., Yu, Y. & Xu, Y.-Q. (2011), ‘Example-based image color and tone style enhancement’, ACM Trans. Graph. 30(4), 64:1–64:12. Wang, B., Yu, Y., Wong, T.-T., Chen, C. & Xu, Y.- Q. (2010), Data-driven image color theme enhan- cement, in ‘ACM SIGGRAPH Asia 2010 papers’, SIGGRAPH ASIA ’10, ACM, New York, NY, USA, pp. 146:1–146:10. Wang, C., Zhang, R. & Deng, F. (2009), ‘Image com- position with color harmonization’, Chinese Optics Letters 7(6), 483–485. Wang, L. & Mueller, K. (2008a), Harmonic color- maps for volume visualization, in ‘Proceedings of the Fifth Eurographics / IEEE VGTC conference on Point-Based Graphics’, SPBG’08, Eurographics Association, Aire-la-Ville, Switzerland, Switzerland, pp. 33–39. URL http://dx.doi.org/10.2312/VG/ VG-PBG08/033-039. Wang, L. & Mueller, K. (2008b), Harmonic color- maps for volume visualization, in ‘Proceedings of the Fifth Eurographics/IEEE VGTC conference on Point-Based Graphics’, Eurographics Association, pp. 33–39. Wang, L., Giesen, J., McDonnell, K. T., Zolliker, P. & Mueller, K. (2008), ‘Color design for illustrative visualization’, IEEE Transactions on Visualization and Computer Graphics 14(6), 1739–1754. Wang, X., Jia, J., Liao, H. & Cai, L. (2012a), ‘Affec- tive image colorization’, Journal of Computer Sci- ence and Technology 27(6), 1119–1128. Wang, X., Jia, J., Liao, H. & Cai, L. (2012b), Image colorization with an affective word, in ‘Proceedings of the First international conference on Computatio- nal Visual Media’, CVM’12, Springer-Verlag, Berlin, Heidelberg, pp. 51–58. Wang, X., Jia, J., Liao, H. & Cai, L. (2012c), Image co- lorization with an affective word, in ‘Computational Visual Media’, Springer, pp. 51–58. Welsh, T., Ashikhmin, M. & Mueller, K. (2002), ‘Transferring color to greyscale images’, ACM Trans. Graph. 21(3), 277–280. Westland, S., Laycock, K., Cheung, V., Henry, P. & Mahyar, F. (2012), ‘Colour harmony’, JAIC-Journal of the International Colour Association. Wong, W. (1997), Principles of Color Design, Wiley. Xue, S., Agarwala, A., Dorsey, J. & Rushmeier, H. (2012), ‘Understanding and improving the realism of image composites’, ACM Trans. Graph. 31(4), 84:1– 84:10. Yao, L., Suryanarayan, P., Qiao, M., Wang, J. Z. & Li, J. (2012), ‘Oscar: On-site composition and aesthetics feedback through exemplars for photographers’, Int. J. Comput. Vision 96(3), 353–383. URL http://dx. doi.org/10.1007/s11263-011-0478-3. Yeh, C.-H., Ng, W.-S., Barsky, B. A. & Ouhyoung, M. (2009), An esthetics rule-based ranking system for amateur photos, in ‘ACM SIGGRAPH ASIA 2009 Sketches’, SIGGRAPH ASIA ’09, ACM, New York, NY, USA, pp. 24:1–24:1. Zajonc, A. G. (1976), ‘Goethe’s theory of color and scientific intuition’, American Journal of Physics 44, 327. Zhang, S.-H., Li, X.-Y., Hu, S.-M. & Martin, R. R. (2011), ‘Online video stream abstraction and styli- zation’, IEEE Transactions on Multimedia pp. 1286– 1294.