Multiframe combination and blur deconvolution of video data

Timothy F. Gee; Thomas P. Karnowski; Kenneth W. Tobin Jr.

doi:10.1117/12.383016

19 April 2000 Multiframe combination and blur deconvolution of video data

Timothy F. Gee, Thomas P. Karnowski, Kenneth W. Tobin Jr.

Proceedings Volume 3974, Image and Video Communications and Processing 2000; (2000) https://doi.org/10.1117/12.383016
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

In this paper we present a technique that may be applied to surveillance video data to obtain a higher-quality image from a sequence of lower-quality images. The increase in quality is derived through a deconvolution of optical blur and/or an increase in spatial sampling. To process sequences of real forensic video data, three main steps are required: frame and region selection, displacement estimation, and original image estimation. A user-identified region-of-interest (ROI) is compared to other frames in the sequence. The areas that are suitable matches are identified and used for displacement estimation. The calculated displacement vector images describe the transformation of the desired high-quality image to the observed low quality images. The final stage is based on the Projection Onto Convex Sets (POCS) super-resolution approach of Patti, Sezan, and Tekalp. This stage performs a deconvolution using the observed image sequence, displacement vectors, and an a priori known blur model. A description of the algorithmic steps are provided, and an example input sequence with corresponding output image is given.

Citation Download Citation

Timothy F. Gee, Thomas P. Karnowski, and Kenneth W. Tobin Jr. "Multiframe combination and blur deconvolution of video data", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.383016

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