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首页> 外文期刊>Multimedia Tools and Applications >The visual color QR code algorithm (DWT-QR) based on wavelet transform and human vision system
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The visual color QR code algorithm (DWT-QR) based on wavelet transform and human vision system

机译：基于小波变换和人类视觉系统的视觉彩色QR码算法（DWT-QR）

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摘要

A novel visual Quick Response (QR) code algorithm based on Wavelet transform and Human Visual System (HVS) approach is presented in this study and named DWT-QR. Unlike other QR codes are generally embedded in the spatial domain, the composite coefficients using global and local characteristics of the host image are considered in the discrete wavelet transform (DWT) domain for the visual QR codes. In order to get the best perceptual embedding capability of visual QR codes, the collaboration of the perceptual model of contrast-sensitive function (CSF) with the noise reduction of the visibility thresholds for HVS in DWT domain, achieves the goal of fine tuning of the perceptual weights according to the basis function amplitudes for the best quality of perceptual visibility. In addition, the computation of Noise Visibility Function (NVF) characterizes the local image properties to determine the optimal QR code strength during the QR codes embedding stage. After the detection pattern embedded for the visual QR codes, different distortion attacks have been performed for the proposed method. The experimental results demonstrate that the proposed DWT-QR approach outperforms the known techniques and not only improves the visual quality of the images but also the robustness against various attacks.
机译：本研究介绍了基于小波变换和人类视觉系统（HVS）方法的新型视觉快速响应（QR）代码算法，并命名为DWT-QR。与其他QR码通常嵌入在空间域中，在用于视觉QR码的离散小波变换（DWT）域中，考虑使用主机图像的全局和局部特征的复合系数。为了获得Visual QR码的最佳感知嵌入能力，对比敏感功能（CSF）的感知模型与DWT域中HVS的可见度阈值的降噪，实现了微调的目标感知权重根据基础函数幅度，以获得最佳的感知能力。另外，噪声可见度函数（NVF）的计算表征局部图像属性以确定嵌入阶段QR码期间的最佳QR码强度。在嵌入用于视觉QR码的检测模式之后，已经为所提出的方法执行不同的失真攻击。实验结果表明，所提出的DWT-QR方法优于已知技术，而不仅提高了图像的视觉质量，而且还提高了对各种攻击的鲁棒性。

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