Application and study of wavelet transform in the QR code image preprocessing
Noise is Inevitable in QR code image's capturing, In order to achieve very good noise cancellation as well as maintaining image details. Preprocessing in the QR code image is becoming more and more important. In the paper, we use a new wavelet threshold denoising method to the QR code image and get an appropriate coefficient to leseen or enlarge the high frequency wavelet coefficients and the threshold. The results show that this proposed method is better than the hard and soft threshold image denoising method. And this proposed method can also improve coding efficiency and accuracy.