基于支持向量机的图像亚像素配准及超分辨率重建

超分辨率重建是根据场景的一组低分辨率图像重建其高分辨率图像。重建算法中，低分辨图像之间的亚像素配准是很重要的一部分。提出了一种基于支持向量机的亚像素配准方法，将低分辨图像之间的相对旋转平移参数看成支持向量机的目标集，通过支持向量回归建立图像特征与目标集之间的映射关系，从而计算图像间的相对运动参数。实验表明，与现有算法相比，所提出的算法具有较高的精度。

Image sub-pixel registration based on SVM with application to supper-resolution

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...