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首页> 外文会议>International conference on education technology and computer >Motion blurs Image Restoration Algorithm Based on Parameter Estimation
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Motion blurs Image Restoration Algorithm Based on Parameter Estimation

机译：基于参数估计的运动模糊图像恢复算法

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In this paper it has optimized Wiener filtering restoration technology process, while ensuring the quality of image restoration the algorithm running time has been reduced, the cost of the system has been reduced;the image boundary conditions has been analyzed and discussed results of its recovery, through processing on the image border, while removing the blur and noise maintains image's detail and improves the visual quality of the restored image, the image looks more smooth;contrasting the good image and blurred image Fourier spectrum and it has been found that the distribution of Fourier spectrum is closely related with motion blur parameters, by detecting and analyzing the Fourier spectrum of blurred image, a new motion blur parameters identification method has been proposed, the method improved the accuracy of the identification on fuzzy parameters;Finally verified the restoration effect algorithm in thesis, using the objective and subjective combining method to make evaluation on image rehabilitation quality.
机译：本文优化了维纳滤波恢复技术过程，在保证图像恢复质量的同时，减少了算法的运行时间，降低了系统成本;分析了图像边界条件，并讨论了恢复结果，通过对图像边界进行处理，在消除模糊和噪点的同时保持了图像的细节并改善了还原图像的视觉质量，使图像看起来更加平滑;对比了良好图像和模糊图像的傅立叶光谱，发现图像的分布傅立叶谱与运动模糊参数密切相关，通过检测和分析模糊图像的傅立叶谱，提出了一种新的运动模糊参数识别方法，提高了模糊参数识别的准确性;最后验证了恢复效果算法。在论文中，运用主观和主观相结合的方法进行评价n图像恢复质量。

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