基于显著特性的保持边缘滤波算法  

Edge-preserving filtering based on saliency map

作　　者：冯策[1] 戴树岭[1] 赵帅和 

机构地区：[1]北京航空航天大学自动化科学与电气工程学院,北京100191

出　　处：《北京航空航天大学学报》2015年第4期669-674,共6页Journal of Beijing University of Aeronautics and Astronautics

基　　金：国家高技术研究发展计划资助项目(2009AA01Z333);中央高校基本科研业务费专项资金资助项目(YWF-13-D2-HK-26);北京市科委项目(Z111100074811001)

摘　　要：针对传统保持边缘滤波算法中存在光晕的缺点,提出了基于显著特性的图像保持边缘滤波算法.该算法主要思想是利用原图的显著特性图具有边缘突出的特点,简化双边滤波法中灰度因子的设定工作.首先提取出原图像的显著图,然后根据图像显著值的大小自适应模糊图像中的细节和噪声部分:显著值较小的区域灰度因子设置较大,平滑此区域;显著值较大的区域灰度因子设置较小,保持边缘部分的清晰.实验结果表明,该算法在平滑了细节和噪声的同时,有效地保持了边缘信息的清晰,与传统方法相比,新方法不仅避免了光晕现象的产生,而且应用更为广泛.A new edge-preserving filtering algorithm based on the saliency map was proposed to avoid the halo effect along salient edges in traditional edge-preserving filtering. The saliency map was characterized by the salient edges in the image and insensibility to noise. The key idea of our filtering algorithm was to simplify the decision of gray standard deviation in bilateral filtering by using the characteristics. We first obtained a saliency map of the original image, and then blurred the image adaptively according to the local saliency value. If the local saliency value is high, the standard deviation would become small to retain the region. If the local saliency value is low, the standard deviation would become large to smooth the region. Therefore, the filtering proposed could avoid unwanted smoothing near salient edges. Experiments show that the proposed filtering performs better in comparison with guided filtering and bilateral filtering. A variety of applications including high dynamic range （HDR） Tone mapping and stylization by our filtering algorithm are also demonstrated.

关 键 词：保边滤波 图像平滑 显著图 双边滤波 引导滤波 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置] V557.4[自动化与计算机技术—控制科学与工程]