KEYWORDS: Image restoration, Point spread functions, Signal to noise ratio, Image processing, Image analysis, Statistical analysis, Medical imaging, Chemical elements, Image transmission, Digital image processing
To investigate blind image restoration problem, we propose to combine Parzen-window estimate with regularization
technique (PWERT) in this paper. Parzen-window estimate method is engaged to obtain point spread function. And
regularization technique is utilized to control the noise deterioration and ill-posed case during image restoration.
Experiment results show that PWERT is able to deblur degraded image effectively and is robust to noise.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.