Copyright © 2008 The Institute of Electronics, Information and Communication Engineers
Special Section on Image Media Quality - Papers |
Identification of Piecewise Linear Uniform Motion Blur
1 The author is with the Department of Communications and Integrated Systems, Tokyo Institute of Technology, Tokyo, 152-8552 Japan. E-mail: karn{at}nh.cradle.titech.ac.jp, 2 The author is with the Center for Research and Development of Educational Technology, Tokyo Institute of Technology, Tokyo, 152-8552 Japan.
 |
Abstract |
|---|
A motion blur identification scheme is proposed for non-linear uniform motion blurs approximated by piecewise linear models which consist of more than one linear motion component. The proposed scheme includes three modules that are a motion direction estimator, a motion length estimator and a motion combination selector. In order to identify the motion directions, the proposed scheme is based on a trial restoration by using directional forward ramp motion blurs along different directions and an analysis of directional information via frequency domain by using a Radon transform. Autocorrelation functions of image derivatives along several directions are employed for estimation of the motion lengths. A proper motion combination is identified by analyzing local autocorrelation functions of non-flat component of trial restored results. Experimental examples of simulated and real world blurred images are given to demonstrate a promising performance of the proposed scheme.
Key Words: blur identification, motion blur, image restoration
Manuscript received July 2, 2007. Manuscript revised November 26, 2007.