Share Email Print

Optical Engineering

Fast restoration approach for rotational motion blurred image based on deconvolution along the blurring paths
Author(s): Hanyu Hong; Tianxu Zhang
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

We present a novel approach to restoring images blurred by rotational motions, without experiencing geometric coordinate transformations as in traditional restoration. The space-variant blur is decomposed into a series of space-invariant blurs along the blurring paths. By incorporating Bresenham's algorithm into our work, the blurred gray values of the discrete pixels can be fetched along the blurring paths in real time. Thus, the space-variant blur can be quickly removed along the blurring paths. We apply a two-stage process to restore the rectangular blurred image, which results in the proposal of two corresponding restoration algorithms. One removes the blur by deconvolution along the blurring paths, which are completely inside the rectangular image. The other is used in the case when only some of the pixels of some blurring paths are inside the rectangular image, so based on a neighborhood knowledge guide, the information of these pixels is restored with the least cost in terms of the constrained optimization estimation theory. Furthermore, these two restoration algorithms avoid iteration calculations and some time-consuming operations. To determine the blur center and the blur extents from the blurred image in a case of not knowing the rotational motion parameters, we present, based on cross correlation, an effective blur identification method, which becomes an integral part of the proposed approach. The experimental results demonstrate the efficiency of the proposed restoration algorithms and the effectiveness of the blur identification method.

Paper Details

Date Published: 1 December 2003
PDF: 16 pages
Opt. Eng. 42(12) doi: 10.1117/1.1621409
Published in: Optical Engineering Volume 42, Issue 12
Show Author Affiliations
Hanyu Hong, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)

© SPIE. Terms of Use
Back to Top