Binary Image Restoration at Subpixel Resolution

Biometrics ◽  
1997 ◽  
Vol 53 (3) ◽  
pp. 1040 ◽  
Author(s):  
D. Hitchcock ◽  
C. A. Glasbey
2014 ◽  
Vol 608-609 ◽  
pp. 855-859 ◽  
Author(s):  
Yu Xiang Song ◽  
Yan Mei Zhang

according to the real motion blur image restoration problems, analyze the difference between the image features and Simulation of real blurred images, this paper proposes a method that applied to real image degradation parameter estimation. First calculate the degraded image using cepstrum, taking the cepstrum to binary image using absolute value of minimum gray as the threshold, and then remove the center cross bright line; and then use formula of point to line to calculate the distance of bright fringe direction of binary image, that is direction of motion blur; the direction of motion blur is rotated to the horizontal direction by the degraded image center of rotation axis, divided the autocorrelation method to calculate fuzzy scale. To estimate the point spread function is take into the Wiener filtering algorithm to recover images, image restoration effect prove that parameter estimation results are correct.


1994 ◽  
Vol 22 (3) ◽  
pp. 335-355 ◽  
Author(s):  
J. Meloche ◽  
R.H. Zamar

2006 ◽  
Vol 32 (2) ◽  
pp. 121 ◽  
Author(s):  
Yijiang Shen ◽  
Edmund Y. Lam ◽  
Ngai Wong

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