A New Aesthetic QR Code Algorithm Based on Salient Region Detection and SPBVM

  • Li Li
  • Yanyun Li
  • Bing Wang
  • Jianfeng Lu
  • Shanqing Zhang
  • Wenqiang Yuan
  • Saijiao Wang
  • Chin-Chen Chang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 733)

Abstract

Many aesthetic QR code algorithms have been proposed. In this paper, a new aesthetic QR code algorithm, based on salient region detection and Selectable Positive Basis Vector Matrix (SPBVM), is proposed. Firstly, the complexity of texture features are added to calculate the saliency values, based on the existing salient region detection algorithm. According to the saliency map, the important area of the image is preserved for the subsequent beautification operation. Then, the appropriate basis vectors are selected by using the proposed SPBVM according to the acquired salient region, and the salient region is displayed completely by XOR operation which is performed by the generated original QR code and the selected basis vectors. Finally, the aesthetic QR code is obtained by combining the background image and the original QR code. The results show that the pro-posed algorithm can produce more accurate salient area and have more pleasant visual effect.

Keywords

Aesthetic QR code RS code Salient region detection Selectable Positive Basis Vector Matrix XOR operation 

Notes

Acknowledgments

This work was mainly supported by National Natural Science Foundation of China (No. 61370218).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Li Li
    • 1
  • Yanyun Li
    • 1
  • Bing Wang
    • 1
  • Jianfeng Lu
    • 1
  • Shanqing Zhang
    • 1
  • Wenqiang Yuan
    • 1
  • Saijiao Wang
    • 2
  • Chin-Chen Chang
    • 3
  1. 1.Hangzhou Dianzi UniversityHangzhouChina
  2. 2.Taizhou Radio & TV UniversityTaizhouChina
  3. 3.Feng Chia UniversityTaichungTaiwan

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