Motion Blur Image Restoration Algorithm Based on the Theory of Reaction Diffusion

Abstract

Image restoration is of great significance in the digital image processing. When imaging equipment obtains the image, if the imaging equipment and the scene occur relative motion in the exposure time, it could lead to actually get blurred image. Due to motion blur, the got image loses real value. So the research of motion blur image restoration has important application value. This paper proposes a motion blur image restoration algorithm based on the theory of reaction diffusion. The algorithm uses the reaction diffusion equations related mathematical knowledge as the background, build the motion blur image restoration model and design motion blur image restoration algorithm. Through the experiment, the algorithm compares with the common motion blur restoration algorithm (RI-BM3D, BM3DDEB, IDD-BM3D and ForWaRD). The subjective and objective restoration results of the proposed image restoration algorithm are obviously improved.