위상 상관(Phase Correlation)기반의 부화소 영상 정합방법을 이용한 다중 프레임의 초해상도 영상 복원

Super Resolution Image Reconstruction Using Phase Correlation Based Subpixel Registration from a Sequence of Frames

Inherent opportunities on research for restoring high resolution image from low resolution images are increasing in these days. Super resolution image reconstruction is the process of combining multiple low resolution images to form a higher resolution one. To achieve super resolution reconstruction, proper observation model which is based on subpixel shift information is required. In this context, the importance of the subpixel registration cannot be estimated because subpixel shift information cannot be obtained from original image. This paper presents a regularized adaptive super resolution reconstruction method based on phase correlated subpixel registration, where the Constrained Least Squares(CLS) Restoration is adopted as a post process.