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One of the image correction algorithms of QR code and its implementation based on wavelet transform

机译:QR码图像校正算法之一及其基于小波变换的实现

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To improve the operation speed and accuracy of two-dimensional barcodes image-correction, this paper proposed a QR code edge detection method based on wavelet transform. Firstly, we take advantage of the characteristics of multi-resolution analysis of wavelet transformation to denoise the QR code image. And then multi-level wavelet decomposition is done to the denoised image, from which we can obtain the wavelet coefficient at all levels. And finally, we refine the edge processing to get the target image. Tests result shows that the algorithm can not only obtain good edge detection effect, but also greatly simplify the calculation. What's more, it can reduce the noise effectively.
机译:为了提高二维条形码图像校正的操作速度和准确性,提出了一种基于小波变换的QR码边缘检测方法。首先,我们利用小波变换的多分辨率分析的特征对QR码图像进行去噪。然后对经过去噪的图像进行多级小波分解,由此可以得到各个级别的小波系数。最后,我们优化边缘处理以获得目标图像。实验结果表明,该算法不仅可以获得良好的边缘检测效果,而且可以大大简化计算过程。而且,它可以有效降低噪音。

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