二维条码图像反模糊算法研究

二维条码作为一种重要的自动识别技术，有着极其广泛的应用前景。有效地解决二维条码图像降质问题是其能够广泛应用的关键。实际应用中，图像模糊是常见的降质，给二维条码识别带来了困难。论文研究二维条码图像反模糊算法，首先应用傅里叶变化确定图像模糊类型；然后根据条码信号，获得模糊函数的参数；最后采用用基于迭代技术的算法复原条码图像。实验结果表明，论文设计的算法具有良好的性能和实时性。

Two-dimensional Bar Code Image Deblurring Algorithm

As an important automatic identification technology ,the two-dimensional bar code has wide range of pros-pects for commercial applications .Effective solution of the two-dimensional bar code image degradation is the key of its wide use .In practical applications ,blurred images are common degradation ,and bring two-dimensional bar codes recognition tech-nology difficulty .This paper studies two-dimensional bar code image deblurring algorithm .First ,Fourier Transformation is used to obtain the deblurring type .Then according to the barcode signal ,the parameter of the blurring function is obtained . At last ,the bar code image is restored based on iterative computations .Experimental results show that our algorithm can ob-tain better bar code image quality compared to existing methods .