计算机应用与软件2017，Vol.34Issue(8)：197-200,230,5.DOI:10.3969/j.issn.1000-386x.2017.08.035
基于边缘信息引导滤波的深度图像增强算法
DEPTH IMAGE ENHANCEMENT ALGORITHM BASED ON EDGE INFORMATION GUIDANCE FILTER
摘要
Abstract
Because of limited distance measurement of Kinect sensor, black holes and noise etc.would occur in the depth map.Previous approaches to fill the black holes only used color images information and might cause unclear object edges of depth map after strengthening.So we proposed a new depth map enhancement algorithm based on edge information guided filtering.First, we combined the edge information of the color image and depth map as guide edge image information.Second, we combined the edge information and the non-local iterative median filtering algorithm to cover the hole.Finally, we used the adaptive median filter to smooth the noise.Experimental results show that the proposed approach can produce high quality depth map and can get a sharp edge.关键词
深度图像增强/边缘检测/迭代非局部中值滤波/图像去噪Key words
Depth map enhancement/Edge detection/Iterative non-local filtering/Image denoising分类
信息技术与安全科学引用本文复制引用
张芳芳,李良福,肖樟树..基于边缘信息引导滤波的深度图像增强算法[J].计算机应用与软件,2017,34(8):197-200,230,5.基金项目
国家自然科学基金项目(61573232,61201434,61401263) （61573232,61201434,61401263）
中央高校基本科研业务费专项资金资助项目(GK201503068). （GK201503068）
