Method to detect and calculate motion blur kernel

Jiagu Wu; Huajun Feng; Zhihai Xu; Qi Li; Zhongliang Fu

doi:10.1117/12.866645

12 October 2010 Method to detect and calculate motion blur kernel

Jiagu Wu, Huajun Feng, Zhihai Xu, Qi Li, Zhongliang Fu

Proceedings Volume 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 76566I (2010) https://doi.org/10.1117/12.866645
Event: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2010, Dalian, China

Abstract

Motion during camera's exposure time causes image blur, we call it motion blur. According to the linear system theory, if we can find the blur kernel which has the same meaning of point spread function, the blurred image can be restored by the blur kernel using iterative algorithms, such as R-L (Richardson-Lucy). Performance of the restoration is deeply depended on accuracy of the estimated blur kernel. In this paper we provide a novel method to detect and calculate the blur kernel. The process of kernel estimation can divide into two steps: The first step is detection of the motion path during the exposure time. A high-speed camera rigidly connected with the primary camera is used to capture a sequence of low resolution images, which contain information of camera position. While displacements of those images are detected, motion path can be drawn up. In the second step, blur kernel is calculated from the motion path by a novel model provided by this paper. Finally the blurred image captured by the primary camera can be restored by the kernel. We implement a hybrid imaging system for demonstration, and the experimental results prove the effectiveness of our method.

Citation Download Citation

Jiagu Wu, Huajun Feng, Zhihai Xu, Qi Li, and Zhongliang Fu "Method to detect and calculate motion blur kernel", Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 76566I (12 October 2010); https://doi.org/10.1117/12.866645

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available