Motion blur image deblurring using edge-based color patches

Abstract

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