Classified-edge guided depth resampling for multi-view coding  

作　　者：陆宇 周洋 陈华华 

机构地区：[1]College of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China [2]Department of Electrical Engineering and Computer Science, Oregon State University, Corvallis 97331, U.S.A.

出　　处：《Optoelectronics Letters》2016年第1期77-80,共4页光电子快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(Nos.61401132 and 61372157);the Zhejiang Provincial Natural Science Foundation of China(No.LY12F01007)

摘　　要：A new depth resampling for multi-view coding is proposed in this paper.At first,the depth video is downsampled by median filtering before encoding.After decoding,the classified edges,including credible edge and probable edge from the aligned texture image and the depth image,are interpolated by the selected diagonal pair,whose intensity difference is the minimum among four diagonal pairs around edge pixel.According to different category of edge,the intensity difference is measured by either real depth or percentage depth without any parameter setting.Finally,the resampled depth video and the decoded full-resolution texture video are synthesized into virtual views for the performance evaluation.Experiments on the platform of multi-view high efficiency video coding(HEVC) demonstrate that the proposed method is superior to the contrastive methods in terms of visual quality and rate distortion(RD) performance.

关 键 词：Codes (symbols) DECODING Electric distortion Median filters Signal distortion 

分 类 号：TN919.81[电子电信—通信与信息系统]