Dynamic Deformation Image Deblurring and Image Processing for Digital Imaging Correlation Measurement
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摘要: 针对材料高应变率动态变形中的高速运动模糊图像，提出了一种基于加载分析的点扩散函数去模糊方法，通过对模糊像素进行卷积，有效地去除了试件高速变形过程中所产生的运动模糊。通过霍普金森杆加载实验验证了该方法的有效性，与原始模糊图像的对比表明，该方法可有效地恢复运动模糊图像，从而提高数字图像相关测量的准确性和稳定性。Abstract: In this research, we proposed a method for deblurring of images captured in the dynamic deformation of materials.By this method, deblurring was achieved based on a dynamic-based approach, which was used to estimate the point spread function (PSF) during the camera exposure window.The deconvolution process involving the iterative matrix calculations of pixels was then performed on the graphics processing unit (GPU) to reduce the time cost.The proposed method was evaluated using the Hopkinson bar loading system.In comparison with the blurry image, the proposed method successfully restored the image.It is also demonstrated from the image processing applications that the deblurring method can improve the accuracy and the stability of the digital imaging correlation measurement.
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图 1 动态变形模糊图像
((a)参考图像; (b)模糊图像)
Figure 1. Blurry image in dynamic deformation
((a)Reference image; (b)Blurry image)
图 3 去模糊结果
((a)模糊图像; (b)去模糊图像; (c)模糊图像子区; (d)对应去模糊图像子区)
Figure 3. Deblurring result
((a)Blurry image; (b)Deblurred image by the proposed method; (c)Subset of blurry image; (d)Subset of deblurred image)
图 9 原始图像和去模糊图像的应变计算结果比较
Figure 9. Strain results of specimen calculated by original and deblurred images
图 10 整个变形过程中的应变场
Figure 10. Experimental results of specimen under the impact of Hopkinson tensile bar
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