Blur Artifact Removing Method caused by Rapid camera Rotation in Consecutive-Frame Super-Resolution

Abstract

In this paper, we propose a consecutive-frame superresolution method, to tackle the blur caused by camera rotation. The consecutive-frame superresolution is a method to restore high-resolution frames from low-resolution frames. In our previous work, we have proposed super-resolution method using the exponential moving average. This method had showed similar image quality but speed was faster than the conventional method. However, the previous method was failed to restored a clean frame when the camera was rapidly rotated. In this paper, we analyze the problem of our old method and suggest ways to overcome them. For this purpose, we detected the occurrence of camera rotation, then adaptively controls the moving average parameter. At the end of paper, Experimental results shows that the proposed method tackles the blurring problem caused by camera rotation.