Blind Image Restoration with Horizontal Motion Blur Based on Point Spread Function Estimation in Frequency Domain

To improve the quality of horizontal motion blurred image, a blind restoration method based on point spread function estimation is proposed by estimating the horizontal motion parameter automatically in frequency domain. Firstly, horizontal motion blurred image is transformed from spatial domain to frequency domain. Secondly, the distance between the center point and the nearest vertical black strip is automatically estimated by setting thresholds, and the parameter of horizontal motion point spread function of the blurred image is estimated. Thirdly, utilizing the estimated horizontal point spread function, the image is restored by the constrained least squares algorithm. Experimental results show that the proposed horizontal motion point spread function estimation algorithm has high accuracy, and the restored image has better visual effect and higher PSNR.