Super-exponential method for blur identification and image restoration

Thomas J. Kostas; Laurent M. Mugnier; Aggelos K. Katsaggelos; Alan V. Sahakian

doi:10.1117/12.186036

16 September 1994 Super-exponential method for blur identification and image restoration

Thomas J. Kostas, Laurent M. Mugnier, Aggelos K. Katsaggelos, Alan V. Sahakian

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.186036
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

This paper examines a super-exponential method for blind deconvolution. Possibly non- minimal phase point spread functions (PSFs) are identified. The PSF is assumed to be low pass in nature. No other prior knowledge of the PSF or the original image is necessary to assure convergence of the algorithm. Results are shown using synthetically degraded satellite images in order to demonstrate the accuracy of the PSF estimates. In addition, radiographic images are restored with no knowledge of the PSF of the x-ray imaging system. These experiments suggest a promising application of this algorithm to a variety of blur identification problems.

Citation Download Citation

Thomas J. Kostas, Laurent M. Mugnier, Aggelos K. Katsaggelos, and Alan V. Sahakian "Super-exponential method for blur identification and image restoration", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.186036

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