By Topic

Single-image motion deblurring using a low-dimensional hand shake blur model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Baxansky, A. ; Zoran Corp., Haifa, Israel ; Tzur, M.

A new algorithm for camera shake removal from a single image is presented. The motion blur point spread function (PSF) is represented in terms of the camera's angular velocity, which is in turn approximated by a linear function of time. Edge spread functions are estimated from isolated edges within the image, and the information along different directions is combined in an optimization procedure to find the best matching PSF. The image is then restored using the Wiener filter, followed by a post-processing algorithm for ringing artifact reduction. Results on real images taken with a digital camera are demonstrated.

Published in:

Electrical and Electronics Engineers in Israel (IEEEI), 2010 IEEE 26th Convention of

Date of Conference:

17-20 Nov. 2010