基于运动估计误差和边缘约束的超分辨率重构

Super Resolution Restoration Based on Motion Estimation Error and Edge Adaptive Constraints

为改善图像超分辨率重构的效果,提出了一种基于运动估计误差和边缘约束条件的凸集投影的方法。在数据一致性和幅度约束的条件下,分析了运动估计误差的分布特点,计算出了它的特征参数,形成一种对解的约束条件;为抑制边缘振荡效应,采用了边缘约束条件,提出了一种基于统计的判断像素所属方向的方法。实验表明,该算法的重构结果与传统的方法相比,主观视觉效果得到明显增强,且信噪比有所提高。

In order to improve the quality of image by super-resolution restoration, a method based on motion estimation error with edge restrict was proposed. Under the condition of data consistency and amplitude restriction, the motion estimation error was analyzed, with its characteristic parameter being calculated; meanwhile, in order to suppress the ringing artifacts, edge constraint was adopted and a method based on statistic analysis for judging the pixel＇ s direction was proposed. The experimental results show that the performance of the this algorithm is better than the traditional method both in vision effect and peak signal to noise ratio.