关键词: 支持向量机, 亚像素配准, 超分辨率, 图像重建

Abstract: Super-resolution reconstruction produces one or a set of high-resolution images from a set of low-resolution images. In the process of reconstruction methods, sub-pixel registration among the set of low-resolution images is a very important step. A sub-pixel registration method based on Support Vector Machine (SVM) was proposed: the related motion parameters were considered as the target set of SVM. After the mapping between the image features and the target set was built through SVM training, the motion parameters could be calculated using SVM regression. The experimental results confirm the effectiveness of the proposed method compared to other sub-pixel registration methods.

Key words: Support Vector Machine (SVM), sub-pixel registration, super-resolution, image reconstruction