Binary Image Restoration at Subpixel Resolution

Biometrics ◽  
1997 ◽  
Vol 53 (3) ◽  
pp. 1040 ◽  
Author(s):  
D. Hitchcock ◽  
C. A. Glasbey
Keyword(s):  
Image Restoration ◽  
Binary Image ◽  
Subpixel Resolution

Parameter Estimation and Restoration of Motion Blurred Image

2014 ◽  
Vol 608-609 ◽  
pp. 855-859 ◽  
Author(s):  
Yu Xiang Song ◽  
Yan Mei Zhang
Keyword(s):  
Parameter Estimation ◽  
Image Restoration ◽  
Rotation Axis ◽  
Image Features ◽  
Motion Blur ◽  
Binary Image ◽  
Degraded Image ◽  
Image Center ◽  
Blurred Image ◽  
The Difference

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.

Binary-image restoration

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

Binary image restoration by positive semidefinite programming

2006 ◽  
Vol 32 (2) ◽  
pp. 121 ◽  
Author(s):  
Yijiang Shen ◽  
Edmund Y. Lam ◽  
Ngai Wong
Keyword(s):  
Semidefinite Programming ◽  
Image Restoration ◽  
Positive Semidefinite ◽  
Binary Image
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