Skip to main content

Advertisement

SpringerLink
Log in

Emotion-based color transfer of images using adjustable color combinations

  • Methodologies and Application
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

This study developed a novel framework for the color transfer between color images, which can further achieve emotion transfer between color images based on the human emotion (human feeling) or a predefined color-emotion model. In the study, we propose a new skill, which makes it possible to adjust the amount of main colors in image according to the complexity of the content of images. It can improve the previous methods which merely take single main color or the fix number of main colors combinations to implement color transfer. Other contributions of the study are the algorithms of the TFS and the TUS, which can improve the identification of the background and foreground and the other main colors that are extracted from the images. The category of images in this study focuses on the color images, such as scenic photographs, still life images, paintings, and wallpaper. The proposed method can also aid those non-professionals to manipulate and describe the connection between colors and emotion in a more objective and precise way. Potential applications include advertising design, cover design, clothing matching on color, interior design, colorization of grayscale images, and re-emotion the photograph of the camera.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23

Similar content being viewed by others

References

  • Amara (2016) The complete guide to color psychology. http://www.amara.com. Accessed 2016

  • Chang Y, Saito S, Uchikawa K, Nakajima M (2005) Example-based color stylization of images. ACM Trans Appl Percept 2(3):322345

    Article  Google Scholar 

  • Chiou W-C, Chen Y-L, Hsu C-T (2010) Color transfer for complex content images based on intrinsic component. In: IEEE international workshop on multimedia signal processing (MMSP), pp 156–161

  • Chou C-K (2011) Color scheme Bible compact edition. Grandtech Information Co., Ltd, Taipei

  • CIELAB (2016) CIELab—Color models technical guides. http://dba.med.sc.edu-priceirf-Adobe-tg-models-cielab.html. Accessed 2016

  • Csurka G, Ska S, Marchesotti L, Saunders C (2010) Learning moods and emotions from color combinations. In: Proceedings of the seventh Indian conference on computer vision, graphics and image processing, ICVGIP 10, ACM, New York, NY, USA, pp 298–305

  • Dellagiacoma M, Zontone P, Boato G (2011) Emotion based classification of natural images, DETECT11, Glasgow, Scotland, UK. Copyright 2011 ACM 978-1-4503-0962-2/11/10

  • Dong W, Bao G, Zhang X, Paul J-C (2010) Fast local color transfer via dominant colors mapping. In: ACM SIGGRAPH ASIA 2010 Sketches, SA 10, ACM, New York, NY, USA, pp 461–462

  • Eisemann L (2000) Pantones guide to communicating with color. Grax Press, London

  • Eysenck HJ (1941) A critical and experimental study of color preferences. Am J Psychol 54:385394

    Article  Google Scholar 

  • Foley JD, Dam AV, Feiner Sk, Hughes JE (1990) Computer graphics: principles and practice. Addison-Wesley, Reading

  • Gray R (1984) Vector quantization. IEEE ASSP Mag 1:4–29

  • Hartigan JA, Wong MA (1979) Algorithm AS 136: a K-means clustering algorithm. J R Stat Soc Ser C 28(1): 100–108. JSTOR 2346830

  • I.R.I. (2011) The color for designer. DrSmart Press Co., Ltd., New Taipei City

  • Itten J (1962) Art of colour. Van Nostrand Reinhold, New York

  • Kobayashi S (1992) Color Image Scale. Kodansha International

  • Krishnan N, M.S Univ., Washington, Banu MS, Callins Christiyana C (2007) Content based image retrieval using dominant color identification based on foreground objects, conference on computational intelligence and multimedia applications. International conference on (vol 3)

  • Lanata Antonio, Valenza Gaetano, Scilingo Enzo Pasquale (2013) Eye gaze patterns in emotional pictures. J Ambient Intell Hum Comput 4:705715

    Article  Google Scholar 

  • Lee J, Cheon Y-M, Kim S-Y, Park E-J (2007) Emotional evaluation of color patterns based on rough sets. In: Natural computation. Third international conference on ICNC 2007, vol 1, pp 140–144

  • Lee T, Lim H, Kim D-W, Hwang S, Yoon K (2016) System for matching paintings with music based on emotions. ACM SIGGRAPH ASIA 2016 technical briefs (November 2016). doi:10.1145/3005358.300536

  • Li M-T, Huang M-L, Wang C-M (2010) Example based color alternation for images. In: Computer engineering and technology (ICCET) 2nd international conference on, vol 7, pp V7316–V7320

  • Lin Hao-Chiang Koong, Hsieh Min-Chai, Loh Li-Chen, Wang Cheng-Hung (2012) An emotion recognition mechanism based on the combination of mutual information and semantic clues. J Ambient Intell Hum Comput 3:1929

    Article  Google Scholar 

  • Linde Y, Buzo A, Gray RM (1980) An algorithm for vector quantizer design. IEEE Trans Commun 28:84–95

    Article  Google Scholar 

  • Mao X, Chen B, Muta I (2003) Affective property of image and fractal dimension. Chaos Solitons Fractals 15(5):905910

    Article  MATH  Google Scholar 

  • Neumann L, Neumann A (2005) Color style transfer techniques using hue, lightness and saturation histogram matching, in computational aesthetics in graphics. Vis Imaging 2005:111–122

    Google Scholar 

  • Norman RD, Scott WA (1952) Colour and aect: a review and semantic evaluation. J Gen Psychol 46:185233

    Article  Google Scholar 

  • Ou L-C, Luo MR, Woodcock A, Wright A (2004) Colour emotions for single colours, in Part I of A study of colour emotion and colour preference. Color Res Appl 29:232240

    Google Scholar 

  • Ou L-C, Luo MR, Woodcock A, Wright A (2004) Colour emotions for two-colour combinations, in Part II of A study of colour emotion and colour preference. Color Res Appl 29:292298

    Google Scholar 

  • Pan Chen, Park Dong Sun, Huijuan Lu, Xiangping Wu (2012) Color image segmentation by fixationbased active learning with ELM. Soft Comput 16:15691584

    Article  Google Scholar 

  • Pitie F, Kokaram A, Dahyot R (2005) N-dimensional probability density function transfer and its application to color transfer. In: Computer vision, ICCV 2005. International conference on tenth IEEE, vol 2, pp 1434–1439

  • Pouli T, Reinhard E (2011) Progressive histogram reshaping for creative color transfer and tone reproduction. Comput Graph 35(1):67–80

    Article  Google Scholar 

  • Pouli T, Reinhard E (2011) Progressive color transfer for images of arbitrary dynamic range. Comput Graph 35:6780. Extended Papers from NonPhotorealistic Animation and Rendering (NPAR)

  • Qi H, Zaretzki R (2015) Image color transfer to evoke different emotions based on color combinations. SIViP 9:19651973

    Google Scholar 

  • Reinhard M, Ashikhmin B Gooch, Shirley P (2001) Color transfer between images. IEEE Comput Graph 3441

  • Sato T, Kajiwara K, Hoshino H, Nakamura T (2000) Quantitative evaluation and categorizing of human emotion induced by colour. In: Advances in colour science and technology vol 3, pp 5359. Simon McArdle, Accessed 2016, Psychology of Color In Logo Design, internet: www.huffingtonpost.com

  • Su YY, Chang CC (2002) A New Approach of Color Image Quantization Based on Multi-Dimensional Directory, VRAI 2002. China, Hangzhou, pp 508–514

  • Tai Y-W, Jia J, Tang C-K (2005) Local color transfer via probabilistic segmentation by expectation maximization. IEEE Computer Society Conference on Computer Vision and Pattern Recognition vol 1, pp 747–754

  • Tanaka S, Iwadate Y, Inokuchi S (2000) An attractiveness evaluation model based on the physical features of image regions. In: Proceedings, 15th international conference on pattern recognition

  • Wang B, Yu Y, Wong T-T, Chen C, Xu Y-Q (2010) Data-driven image color theme enhancement. ACM Trans Graph 29:6. Article 146 (December 2010), 10 pages. doi:10.1145/1882261.1866172

  • Wei-Ning W, Ying-Lin Y, Sheng-ming J (2006) Image retrieval by emotional semantics: a study of emotional space and feature extraction. In: Systems, man and cybernetics. IEEE international conference on SMC 06, vol 4, pp 3534–3539

  • Whelan BM (1994) Color Harmony 2: a guide to creative color combinations. Rockport Publishers, Beverly

  • Wu Fuzhang, Dong Weiming, Kong Yan, Mei Xing, Paul Jean-Claude, Zhang Xiaopeng (2013) Content based color transfer. Comput Graph Forum 32(1):190203

    Article  Google Scholar 

  • Xiao X, Ma L (2009) Gradient-preserving color transfer. Comput Graph Forum 18:791–886

    Google Scholar 

  • Xiao X, Ma L (2006) Color transfer in correlated color space. In: Proceedings of the 2006 ACM international conference on virtual reality continuum and its applications, VRCIA 06, ACM, New York, NY, USA, pp 305–309

  • Yang C-K, Peng L-K (2008) Automatic mood transferring between color images. IEEE Comput Graph Appl 28:5261

    Google Scholar 

  • Zang Y, Huang H, Li C-F (2010) Example-based painting guided by colorfeatures. Vis Comput 26(6–8):933–942

    Google Scholar 

  • Zhanga Ming, Zhanga Ke, Fenga Qinghe, Wanga Jianzhong, Konga Jun, Lua Yinghua (2014) A novel image retrieval method based on hybrid information descriptors. J Vis Commun Image Represent 25(7):15741587

    Google Scholar 

  • Zhang L, Li K (2016) Adaptive image segmentation based on color clustering for person re-identification. Soft Comput. doi:10.1007/s00500-016-2150-x

Download references

Acknowledgements

This research was supported in part by the Ministry of Science and Technology, Taiwan, under the Grants MOST-104-2221-E-007-071-MY3.

Author information

Authors and Affiliations

  1. Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan

    Yuan-Yuan Su & Hung-Min Sun

  2. Research Center for Information Technology Innovation, Academia, Sinica, Taiwan, No. 101, Section 2, Kuang-Fu Road, Hsinchu, Taiwan

    Hung-Min Sun

Authors
  1. Yuan-Yuan Su
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hung-Min Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hung-Min Sun.

Ethics declarations

Conflict of interest

All authors declare that they have no conflicts of interest regarding the publication of this manuscript.

Additional information

Communicated by V. Loia.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Su, YY., Sun, HM. Emotion-based color transfer of images using adjustable color combinations. Soft Comput 23, 1007–1020 (2019). https://doi.org/10.1007/s00500-017-2814-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-017-2814-1

Keywords

Search

Navigation