1673-159X

CN 51-1686/N

生产线模糊图像恢复的投影迭代算法和维纳滤波算法比较

The Comparison of Projection Iterative and Wiener Filter Algorithm of Product Blurred Image Restoration in Production Line

  • 摘要: 为解决在运动模糊图像的处理中传统的逆滤波法算法对噪声很敏感且易产生噪声放大的问题,采用维纳滤波算法和投影迭代算法对生产线上模糊图像的处理进行分析和比较。在VC++2008上仿真结果表明:这2种算法都能克服逆滤波算法放大高频段噪声的不足;投影迭代算法在恢复模糊图像所用时间和清晰度方面比维纳滤波算法好。

     

    Abstract: Due to being very sensitive to noise, easy to produce noise amplification effect for traditional inverse filter method algorithm for motion blurred images, this paper uses classic Wiener filtering and projection algorithm, analyzing two algorithms' difference.Two algorithms are used to conduct the simulation of the electronic components of the production line of the motion blur image in VC++2008 environment. Experimental results show that these two algorithms overcome the lack of inverse filtering algorithm, which magnifies the high frequency noise while projection algorithm is better than wiener filtering algorithm in time and clarity.

     

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