LLSURE: Local Linear SURE-Based Edge-Preserving Image Filtering
LLSURE: Local Linear SURE-Based Edge-Preserving Image Filtering
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DOI：
10.1109/tip.2012.2214052
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发表时间：
2013
影响因子：
10.6
通讯作者：
T. Qiu;Aiqi Wang;Nannan Yu;Aimin Song
中科院分区：
文献类型：
--
作者：
T. Qiu;Aiqi Wang;Nannan Yu;Aimin Song
在本文中，我们提出了一种新的方法进行高质量的边缘保持图像滤波。基于局部线性模型，并使用Stein的无偏风险估计的原则作为估计的均方误差从噪声图像只，我们推导出一个简单的显式图像滤波器，可以滤除噪声，同时保留边缘和精细尺度的细节。此外，该滤波器具有快速、精确的线性时间算法，其计算复杂度与滤波核大小无关，可应用于真实的实时图像处理任务。实验结果表明，新的过滤器的各种计算机视觉应用的有效性，包括降噪，细节平滑和增强，高动态范围压缩，闪光/无闪光去噪。
In this paper, we propose a novel approach for performing high-quality edge-preserving image filtering. Based on a local linear model and using the principle of Stein's unbiased risk estimate as an estimator for the mean squared error from the noisy image only, we derive a simple explicit image filter which can filter out noise while preserving edges and fine-scale details. Moreover, this filter has a fast and exact linear-time algorithm whose computational complexity is independent of the filtering kernel size; thus, it can be applied to real time image processing tasks. The experimental results demonstrate the effectiveness of the new filter for various computer vision applications, including noise reduction, detail smoothing and enhancement, high dynamic range compression, and flash/no-flash denoising.