The algorithm of identification and restoration based on the priori blur models for degraded images

Dongxing Li; Xueyi Zhang; Dong Xu; Yan Zhao

doi:10.1117/12.807372

13 October 2008 The algorithm of identification and restoration based on the priori blur models for degraded images

Dongxing Li, Xueyi Zhang, Dong Xu, Yan Zhao

Proceedings Volume 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration; 71290X (2008) https://doi.org/10.1117/12.807372
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

In general practical applications, the point spread function (PSF) of the imaging system, the imaging process, and the observation noise, are unknown a priori information. Therefore, the identification of the PSF is a challenging and difficult problem in the world. The algorithm of identification of the PSF and the restoration of the blurred images based on the priori blur models (known as the PBM algorithm) is proposed. In practical application, the priori models of the PSF mainly consist of the linear motion blur, out of focus blur and the Gaussian blur. In the situation of that the degradation process is formed by the one of the above point spread functions, the PSF can be formulated in parametric model. The corresponding parameters of the model are determined by the algorithm proposed in this paper. Thus, the PSF is obtained according to the parameter of the model consequently. First, the parameter changing scope and the increment step length of the parameters are provided based on the original guess. Second, the criterion that the Euclid length of the difference between the observed image and blurred image corresponding to the PSF is minimized is incorporated in order to determine the parameter of the PSF. Therefore, the PSF is identified by the parametric model and the original image is estimated via the ordinary image restoration algorithms. In this paper, we applied the Wiener filter to restore the original images. The experimental results show that the identified result of the PSF is reliable and accurate and the restoration effect with the identified PSF is better when the observed image have high signal to noise ratio (SNR).

Citation Download Citation

Dongxing Li, Xueyi Zhang, Dong Xu, and Yan Zhao "The algorithm of identification and restoration based on the priori blur models for degraded images", Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 71290X (13 October 2008); https://doi.org/10.1117/12.807372

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