关键词: 正则化超分辨率重建框架, M-估计, 双边滤波, 边缘保持特性, Huber估计

Abstract: In regularized super-resolution reconstruction framework, a unified and robust energy function for super-resolution reconstruction was constructed, which incorporated both the robustness of M-estimation and the double-weighting idea of bilateral filtering, and hence behaving much better in robustness and edge-preserving. Because of drawback of the constrained least square algorithm using least square estimator and Farsiu's algorithm using least absolute deviation estimator in the edge-preserving, the robust Huber estimator was used in the unified energy function. The experimental results demonstrate the effectiveness of proposed algorithm, both in the visual effect and the Peak Signalto Noise Ratio (PSNR) value.

Key words: regularized super-resolution reconstruction, M-estimation, bilateral filtering, edge-preserving characteristic, Huber estimator