An edge-guided image interpolation algorithm via directional filtering and data fusion
An edge-guided image interpolation algorithm via directional filtering and data fusion
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DOI：
10.1109/tip.2006.877407
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发表时间：
2006-08-01
影响因子：
10.6
通讯作者：
Wu, Xiaolin
中科院分区：
文献类型：
--
作者：
Zhang, Lei;Wu, Xiaolin
对于从低分辨率图像重建高分辨率图像的图像插值算法来说，保留边缘结构是一项挑战。我们通过方向滤波和数据融合提出了一种新的边缘引导非线性插值技术。对于要插值的像素，在两个正交方向上定义两个观测集，每个观测集都会产生该像素值的一个估计值。这些方向估计值被建模为缺失像素的不同含噪测量值，利用两个观测集的统计信息，通过线性最小均方误差估计（LMMSE）技术融合为一个更稳健的估计值。我们还提出了一种基于LMMSE的插值算法的简化版本，以在不显著牺牲插值性能的情况下降低计算成本。实验表明，新的插值技术能够保持边缘清晰度并减少振铃伪影。
Preserving edge structures is a challenge to image interpolation algorithms that reconstruct a high-resolution image from a low-resolution counterpart. We propose a new edge-guided nonlinear interpolation technique through directional filtering and data fusion. For a pixel to be interpolated, two observation sets are defined in two orthogonal directions, and each set produces an estimate of the pixel value. These directional estimates, modeled as different noisy measurements of the missing pixel are fused by the linear minimum mean square-error estimation (LMMSE) technique into a more robust estimate, using the statistics of the two observation sets. We also present a simplified version of the LMMSE-based interpolation algorithm to reduce computational cost without sacrificing much the interpolation performance. Experiments show that the new interpolation techniques can preserve edge sharpness and reduce ringing artifacts.