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基于显著性加权随机优化的快速响应码美化方法

杨俊丰 林亚平 欧博 蒋军强 李强

杨俊丰, 林亚平, 欧博, 蒋军强, 李强. 基于显著性加权随机优化的快速响应码美化方法[J]. 电子与信息学报, 2018, 40(2): 289-297. doi: 10.11999/JEIT170521
引用本文: 杨俊丰, 林亚平, 欧博, 蒋军强, 李强. 基于显著性加权随机优化的快速响应码美化方法[J]. 电子与信息学报, 2018, 40(2): 289-297. doi: 10.11999/JEIT170521
YANG Junfeng, LIN Yaping, OU bo, JIANG Junqiang, LI Qiang. A Quick Response Code Beautification Method Based on Saliency Weighted Random Optimization[J]. Journal of Electronics & Information Technology, 2018, 40(2): 289-297. doi: 10.11999/JEIT170521
Citation: YANG Junfeng, LIN Yaping, OU bo, JIANG Junqiang, LI Qiang. A Quick Response Code Beautification Method Based on Saliency Weighted Random Optimization[J]. Journal of Electronics & Information Technology, 2018, 40(2): 289-297. doi: 10.11999/JEIT170521

基于显著性加权随机优化的快速响应码美化方法

doi: 10.11999/JEIT170521
基金项目: 

国家自然科学基金项目(61472125);教育部-中国移动科研基金(MCM20122061)

A Quick Response Code Beautification Method Based on Saliency Weighted Random Optimization

Funds: 

The National Natural Science Foundation of China (61472125), The Ministry of Education-China Mobile Science Foundation (MCM20122061)

  • 摘要: 随着移动终端和移动互联网的发展,快速响应(QR)码被广泛运用于移动信息交互。但是,标准的 QR 码是由均匀分布的黑色与白色模块组成,外观类似噪声信号,缺乏视觉美感,限制了QR码的应用。针对此问题,该文提出一种提高QR码视觉效果的美化方法。该方法将给定的彩色图像进行显著性检测和半色调处理,得到相应的显著性矩阵和半色调图像,然后根据半色调图像上的网点分布,对QR码的模块分布进行优化。为了提高优化效率,该文提出一种显著性加权随机优化算法,将优化后的QR码和半色调图像进行融合,得到与半色调图像最相似的半色调QR码。在图像渲染阶段,该文提出一种基于二分搜索的色彩调整算法,得到具有色彩信息和视觉美感的彩色QR码。实验分析表明,该方法生成的QR码不仅保留了与标准QR码一样的抗遮挡、快速解码等特性,还有效地提升了视觉效果,具有很好的视觉吸引力。
  • LIN Yishan, LUO Shengjie, and CHEN Bingyu. Artistic QR code embellishment[J]. Computer Graphics Forum, 2013, 32(7): 137-146. doi: 10.1111/cgf.12221.
    LI Li, QIU Jinxia, LU Jianfeng, et al. An aesthetic QR code solution based on error correction mechanism[J]. Journal of Systems and Software, 2015, 116(C): 85-94. doi: 10.1016/j.jss. 2015.07.009.
    LIN Y H, CHANG Y P, and WU J L. Appearance-based QR code beautifier[J]. IEEE Transactions on Multimedia, 2013, 15(8): 2198-2207. doi: 10.1109/TMM.2013.2271745.
    ONO S, MORINAGA K, and NAKAYAMA S. Animated two-dimensional barcode generation using optimization algorithms[J]. Scis, 2009, 2008: 1232-1237. doi: 10.14864/ softscis.2008.0.1232.0.
    ONO S, MORINAGA K, and NAKAYAMA S. Barcode design by evolutionary computation[J]. Artificial Life and Robotics, 2008, 13(1): 238-241. doi: 10.1007/s10015-008- 0587-4.
    ONO S, MORINAGA K, and NAKAYAMA S. Two- dimensional barcode decoration based on real-coded genetic algorithm[C]. 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence). IEEE, 2008: 1068-1073.
    GARATEGUY G J, ARCE G R, LAU D L, et al. QR images: Optimized image embedding in QR codes[J]. IEEE Transactions on Image Processing, 2014, 23(7): 2842-2853. doi: 10.1109/TIP.2014.2321501.
    ZHANG Y, DENG S, LIU Z, et al. Aesthetic QR codes based on two-stage image blending[C]. International Conference on Multimedia Modeling. Springer International Publishing, Sydney, Australia, 2015: 183-194. doi: 10.1007/978-3-319- 14442-9_16.
    LIN S S, HU M C, LEE C H, et al. Efficient QR code beautification with high quality visual content[J]. IEEE Transactions on Multimedia, 2015, 17(9): 1515-1524. doi: 10.1109/TMM.2015.2437711.
    KURIBAYASHI M and MORII M. Enrichment of visual appearance of aesthetic QR code[C]. International Workshop on Digital Watermarking. Tokyo, Japan, 2015: 220-231. doi: 10.1007/978-3-319-31960-5_18.
    罗会兰, 万成涛, 孔繁胜. 基于KL散度及多尺度融合的显著性区域检测算法[J]. 电子与信息学报, 2016, 38(7): 1594-1601. doi: 10.11999/JEIT151145.
    LUO Huilan, WAN Chengtao, and KONG Fansheng. Salient region detection algorithm via KL dvergence and multi-scale merging[J]. Journal of Electronics Information Technology, 2016, 38(7): 1594-1601 doi: 10.11999/JEIT151145.
    徐威, 唐振民. 融合相位一致性与二维主成分分析的视觉显著性预测[J]. 电子与信息学报, 2015, 37(9): 2089-2096. doi: 10.11999/JEIT141478.
    XU Wei and TANG Zhenmin. Integrating phase congruency and two-dimensional principal component analysis for visual saliency prediction[J]. Journal of Electronics Information Technology, 2015, 37(9): 2089-2096. doi: 10.11999/ JEIT141478.
    唐红梅, 吴士婧, 郭迎春, 等. 自适应阈值分割与局部背景线索结合的显著性检测[J]. 电子与信息学报, 2017, 39(7): 1592-1598. doi: 10.11999/JEIT160984.
    TANG Hongmei, WU Shijing, GUO Yingchun et al. Saliency detection based on adaptive threshold segmentation and local background clues[J]. Journal of Electronics Information Technology, 2017, 39(7): 1592-1598. doi: 10.11999/JEIT 160984.
    蒋寓文, 谭乐怡, 王守觉. 选择性背景优先的显著性检测模型[J]. 电子与信息学报, 2015, 37(1): 130-136. doi: 10.11999/ JEIT140119.
    JIANG Yuwen, TAN Leyi, and WANG Shoujue. Saliency detected model based on selective edges prior[J]. Journal of Electronics Information Technology, 2015, 37(1): 130-136. doi: 10.11999/JEIT140119.
    HOU X and ZHANG L. Saliency detection: A spectral residual approach[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minneapolis, Minnesota, USA, 2007: 1-8.
    LIU Y F and GUO J M. Dot-diffused halftoning with improved homogeneity[J]. IEEE Transactions on Image Processing, 2015, 24(11): 4581-4591. doi: 10.1109/TIP.2015. 2470599.
    WANG Z, ARCE G R, and CRESCENZO G D. Halftone visual cryptography via error diffusion[J]. IEEE Transactions on Information Forensics and Security, 2009, 4(3): 383-396. doi: 10.1109/TIFS.2009.2024721.
    WANG Z, BOVIK A C, SHEIKH H R, et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612. doi: 10.1109/TIP.2003.819861.
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出版历程
  • 收稿日期:  2017-05-31
  • 修回日期:  2017-10-27
  • 刊出日期:  2018-02-19

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