XIAO Wei-zhong, GE Zhen-dong, YUAN Ying-tao, GUO Xiang. DIGITAL IMAGE CORRELATION BLIND DEBLURRING METHOD BASED ON SPECKLE IMAGE GRADIENT[J]. Engineering Mechanics, 2023, 40(4): 226-232. DOI: 10.6052/j.issn.1000-4750.2022.02.0163
Citation: XIAO Wei-zhong, GE Zhen-dong, YUAN Ying-tao, GUO Xiang. DIGITAL IMAGE CORRELATION BLIND DEBLURRING METHOD BASED ON SPECKLE IMAGE GRADIENT[J]. Engineering Mechanics, 2023, 40(4): 226-232. DOI: 10.6052/j.issn.1000-4750.2022.02.0163

DIGITAL IMAGE CORRELATION BLIND DEBLURRING METHOD BASED ON SPECKLE IMAGE GRADIENT

  • Aiming at the problem of motion blur in complex measurement environment or high dynamic measurement, a blind deblurring method for speckle image based on the combination of gray sparsity prior and reference image gradient prior is proposed. This method takes the norm of the peak value of the gray histogram and the gradient of the reference image as the regular terms, uses the quadratic splitting method to estimate the clear image, and evaluates the convolution kernel in an alternating iterative way. After the fuzzy kernel estimation is completed, the Richardson-Lucy non-blind deconvolution method is used to restore the speckle image. Experimental results show that compared with the classical method for natural image and text image, the proposed method achieves better image deblurring results and improves the accuracy and robustness of digital image correlation measurement.
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