Motion blur image deblurring using edge-based color patches

Authors

XIXUAN ZHAO
JIANGMING KAN

DOI

10.3906/elk-1802-192

Abstract

The shaking of a camera can easily cause blurs in an image. Thus, deblurring is a problem that is worth solving and has always been an active research interest. The color information in an image is an important feature and contains clues for image deblurring that have not been widely exploited. In this paper, we present an efficient and stable blurring kernel estimation method by solving an energy function constructed by a weighted color approximation regularization term. The term is derived from a two-color model, and we use a defined weight to alleviate the color change through the blurring process. Then we select salient edges in an effective way to apply the proposed method on the patches centered at these edges. Experiments on synthetic and real-world images show the efficiency and stability of our proposed method.

Keywords

Two-color model, blind deblurring, edge selection, image patches, motion blur

First Page

565

Last Page

579

Recommended Citation

ZHAO, XIXUAN and KAN, JIANGMING (2019) "Motion blur image deblurring using edge-based color patches," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 27: No. 1, Article 40. https://doi.org/10.3906/elk-1802-192
Available at: https://journals.tubitak.gov.tr/elektrik/vol27/iss1/40