基于改进维纳滤波算法的运动模糊二维码图像复原方法
Image restoration method of motion blur two-dimensional code based on improved Wiener filter algorithm
杨建华 1方园园 1赵轩1
作者信息
- 1. 西安工业大学电子信息工程学院,西安 710021
- 折叠
摘要
针对二维码在动态工业产品检测中,容易发生运动模糊,导致识别难度加大的问题,设计了一种基于改进维纳滤波的运动模糊二维码图像复原方法.在传统的维纳滤波图像复原过程中,由于正则项K值的影响,导致复原效果存在差异,结合了遗传算法,通过自适应寻优的方法实现了 K值的估计,完成了图像的复原.实验结果表明:改进算法比传统算法复原以后的图像峰值信噪比(PSNR)提高了约4 dB左右,该方法可以有效地还原出运动模糊二维码图像,提高了二维码的识别的效率.
Abstract
Aiming at the problem that two-dimensional code is prone to motion blur in industrial product detec-tion,resulting in increased recognition difficulty,a motion blur two-dimensional code image restoration method based on improved Wiener filter is designed.In the traditional Wiener filter image restoration process,due to the influence of the regular term K value,resulting in the difference in the restoration effect,thispaper combines the genetic algo-rithm,through the adaptive optimization method to achieve the estimation of K value,the experimental results show that the improved algorithm is about 4 dB higher than the traditional algorithm restored image peak signal-to-noise ra-tio(PSNR),the method can effectively restore the motion blur two-dimensional code image,improve the efficiency of two-dimensional code recognition.
关键词
QR二维码/运动模糊/图像复原Key words
QR code/motion blur/image restoration引用本文复制引用
出版年
2024
NETL
NSTL
万方数据