集成技术2016，Vol.5Issue(6)：36-44,9.
基于多方向滤波的强边缘深度图像补全方法
Strong Edge-Aware Depth Image Completion with Multi-Direction Filtering
摘要
Abstract
Conventional depth-camera can provide pixel-wise aligned depth and color images. However, the obtained depth image usually contains a lot of vacant image regions subject to the device resolution and relfectance property of target scene. To solve this problem, a novel depth image completion algorithm was investigated in this paper. To preserve sharp edges in the depth image, an edge mask was ifrst designed. With reference to the edge mask, an improved joint bilateral ifltering scheme was proposed. By ifltering the depth image in four directions, a Markov random ifeld model was used to combine the ifltered depth images into one. Different from conventional filter-based image completion algorithms, the scene occlusion problem is also considered in the proposed algorithm. A variety of depth images are used in the experiment. Comparative results are presented to demonstrate the improvement over some classical methods.关键词
图像补全/深度图像增强/边缘保持/马尔科夫随机场Key words
depth completion/depth image enhancement/edge preserving/Markov random ifeld分类
矿业与冶金引用本文复制引用
吕浩,陈世峰..基于多方向滤波的强边缘深度图像补全方法[J].集成技术,2016,5(6):36-44,9.基金项目
深圳市科技计划基础研究项目(JCYJ20150401145529049) （JCYJ20150401145529049）
