202
Views
2
CrossRef citations to date
0
Altmetric
Articles

Generating visually appealing QR codes using colour image embedding

Pages 1-13 | Received 20 Jan 2016, Accepted 21 Sep 2016, Published online: 28 Mar 2017

References

  • ISO/IEC 18004 Information Technology. Automatic identification and data capture techniques – QR code 2005 barcode symbology specification (2006).
  • Ebling M, Cáceres R. Bar codes everywhere you look. Perv Comput. 2010;9:4–5.
  • Li L, Qiu J, Lu J, Chang C-C. An aesthetic QR code solution based on error correction mechanism. J Syst Softw. 2016;116:85–94. doi: 10.1016/j.jss.2015.07.009
  • Unitag. [Online] [cited 2016 Jan 19]. Available from: https://www.unitag.io/qrcode. 2011
  • Samretwit D, Wakahara T. Measurement of reading characteristics of multiplexed image in QR code. 3rd International Conference on Intelligent Networking and Collaborative Systems (INCoS): 2011: 30 Nov-2 Dec, p. 552–557. doi 10.1109/INCoS.2011.117.
  • Ono S, Morinaga K, Nakayama S. Animated two-dimensional barcode generation using optimization algorithms-redesign of formulation, operator, and quality evaluation. J Adv Comput Intell Intell Inform. 2009;13(3):245–254. doi: 10.20965/jaciii.2009.p0245
  • Cox, Russ, QArt Codes [Online]. [cited 2016 Jan 19]. Available from: http://research.swtch.com/qart. 2012.
  • AIST QRJAM. [Online]. [cited 2016 Jan 19]. Available from: http://qrjam.jp.
  • Fujita K, Kuribayashi M, Morri M. Expansion of image displayable area in design QR code and its applications. Proc Forum Inform Technol Papers. 2011;10(4):517–520.
  • Lin Y-H, Chang Y-P, Wu J-L. Appearance-based QR code beautifier. IEEE Trans Multimedia. 2013;15(8):2198–2207. doi: 10.1109/TMM.2013.2271745
  • Zhang Y, Deng S, Liu Z, et al. Aesthetic QR codes based on two-stage image blending. 21st International Conference on Multimedia Modeling 2015 5–7 January, Sydney, Australia, p. 183–194.
  • Chu H-K, Chang C-S, Lee R-R, et al. Halftone QR codes. ACM Trans Graph. 2013;32(6):217. doi: 10.1145/2508363.2508408
  • Fang C, Zhang C, Chang E-C. An optimization model for aesthetic two-dimensional barcodes. 20th Anniversary International Conference on MultiMedia modeling (MMM 2014), January 6-10 2014, Proceedings, Part I, Dublin, Ireland, p. 278–290.
  • Owen S, Mic J. ZXing.Net [Online]. [cited 2016 Aug 4]. Available from: https://zxingnet.codeplex.com.
  • D. W. Inc. Elkhart USA. LogoQ. [Online]. [cited 2016 Jan 19]. Available from: http://www.qrcode.com/en/codes/logoq.html. 2013.
  • Baharav Z, Kakarala R. Visually significant QR codes: image blending and statistical analysis. IEEE International Conference on Multimedia and expo (ICME); 2013 15–19 July, p. 1–6. doi:10.1109/ICME.2013.6607571.
  • Alva N, Friedman I, Peled U. Visualead: visual QR code generator [Online]. [cited 2016 Jan 19]. Available from: http://www.visualead.com. 2012.
  • Garateguy GJ, Arce GR, Lau DL, et al. QR images: optimized image embedding in QR codes. IEEE Trans Image Process. 2014;23(7):2842–2853. doi: 10.1109/TIP.2014.2321501
  • Otsu N. A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybernet. 1979;9(1):62–66. doi: 10.1109/TSMC.1979.4310076
  • Trier OD, Jain AK. Goal-directed evaluation of binarization methods. IEEE Trans Pat Anal Mach Intell. 1995;17(12):1119–1201. doi: 10.1109/34.476511
  • Zhou J, Liu Y, Li P. Research on binarization of QR code image. International Conference on ‘Multimedia technology (ICMT)’, 29-31 Oct 2010, p. 1–4. doi:10.1109/ICMULT.2010.5631155.
  • Niblack W. An introduction to digital image processing. Englewood Cliffs, NJ: Prentice Hall; 1996, p. 115–116.
  • Yang H, Kot A, Jiang X. Binarization of low quality barcode images captured by mobile phones using local window of adaptive location and size. IEEE Trans Image Process. 2012;21(1):418–425. doi: 10.1109/TIP.2011.2155074
  • Foley JD, van Dam A, Feiner SK, et al. Computer graphics: principles and practices, 2nd edn. New York: Addison-Wesley; 1990, p. 81–87.
  • Huang Y, Chiang PWY, Hui LYW, Goh KH. Method and apparatus for compensating for chrominance saturation, US Patent 7193659, 2007. [Online]. [cited 2016 Aug 8]. Available from: https://www.google.ch/patents/US7193659.
  • He L, Gao F, Hou W, et al. Objective image quality assessment: a survey. Int J Comput Math. 2014;91(11):2374–2388. doi: 10.1080/00207160.2013.816415
  • Sheikh HR, Sabir MF, Bovik AC. A statistical evaluation of recent full reference image quality assessment algorithms. IEEE Trans Image Proc. 2006;15(11):3440–3451. doi: 10.1109/TIP.2006.881959
  • Wang Z, Bovik AC, Sheikh HR, et al. Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process. 2004;13(4):600–612. doi: 10.1109/TIP.2003.819861
  • Larson EC, Chandler DM. Most apparent distortion: full-reference image quality assessment and the role of strategy. J Electron Imag. 2010;19(1):011006-1–011006-21.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.