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A Simple PSF Parameters Estimation Method for the De-blurring of Linear Motion Blurred Images Using Wiener Filter in OpenCV
http://hdl.handle.net/20.500.12678/0000007601
http://hdl.handle.net/20.500.12678/00000076017a503cb6-d0b0-46c1-b3f6-e9f541e711f3
8e9cae8d-21fb-4611-b03c-c4703c5808a5
Name / File | License | Actions |
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Dr. AKS Paper3.pdf (609 KB)
Restricted Access
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | A Simple PSF Parameters Estimation Method for the De-blurring of Linear Motion Blurred Images Using Wiener Filter in OpenCV | |||||
Language | en | |||||
Publication date | 2012-12-01 | |||||
Authors | ||||||
Aung Kyaw Soe, Zhang Xianku | ||||||
Description | ||||||
To restore a motion blurred image to its near original form, the motion parameters such as its blur length and blur angle must be properly estimated. In this paper, new algorithms for motion parameters estimation are proposed using a single degraded image. For motion direction estimation, this algorithm applies a method of direct detection to the DFT central spectral line which is very simple. For motion length estimation two methods are proposed, one by the detection of the DFT central spectral line width, and another one by the detection without rotation of the DFT spectrum. |
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Keywords | ||||||
image deblurring, point spread function, psf, blur angle, blur length, wiener filter | ||||||
Identifier | Engineering Index (EI) | |||||
Conference papers | ||||||
ICSAI 2012 | ||||||
2012 – May – 19-21 | ||||||
The 2012 International Conference on Systems and Informatics | ||||||
Yantai, China | ||||||
http://d.researchbib.com/d/emFHAGDHxlZQRlYay0qF5yMUHhL24 |