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立体图像分层交叠块视差估计与自适应补偿 被引量:4

Hierarchical overlapped block disparity estimation and adaptive compensation for stereo images
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摘要 视差估计与补偿是立体图像编码的关键问题,本文提出了一种基于交叠块匹配的视差估计与补偿算法。基于交叠块匹配的分层视差估计,将块分割和平滑约束融入视差估计,可得到光滑准确的视差矢量场。自适应交叠块视差补偿可克服通常的交叠块视差补偿的过平滑效应,在相同的编码比特率下,与块补偿及OBDC相比,AOBDC可获得2.4 dB及0.9 dB的峰值信噪比增益。 Disparity estimation and compensation are vital tasks in stereo image coding. An algorithm for disparity estimation and compensation based on overlapped block matching is proposed in this paper. Combining the block segmentation and smoothness constraints into disparity estimation, the hierarchical disparity estimation based on overlapped block matching can obtain a smooth and consistent DV field. The adaptive overlapped block disparity estimation can prevent the oversmoothing effects occurring in conventional OBDC. The AOBDC can achieve a PSNR gain of 2.4 dB and 0.9 dB as compared to BDC and OBDC respectively.
作者 安平 张兆扬
出处 《通信学报》 EI CSCD 北大核心 2003年第3期1-7,共7页 Journal on Communications
基金 国家自然基金资助项目(69972027 60202015)
关键词 视差估计/补偿 交叠块匹配 块分割 平滑约束 自适应窗 diaparity estimation/compensation overlapped block matching block segmentation smoothness constraints adaptive window
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同被引文献34

  • 1高欣,安平,刘佳,张兆扬.基于视差和变化检测的立体视频对象分割[J].上海大学学报(自然科学版),2006,12(2):116-119. 被引量:6
  • 2赵杰,于舒春,蔡鹤皋.金字塔双层动态规划立体匹配算法[J].控制与决策,2007,22(1):69-72. 被引量:9
  • 3游素亚.立体视觉研究的现状与进展[J].中国图象图形学报(A辑),1997,2(1):17-24. 被引量:102
  • 4吕朝辉,袁惇.基于视差估计的中间视合成[J].光电子.激光,2007,18(7):855-858. 被引量:5
  • 5Klaus A,Sormann M,Karner K.Segment-based stereo matching using belief propagation and a self-adapting dissimilarity measure.In:Proceedings of the International Conference on Pattern Recognition,Hong Kong,China.2006.3:15-18.
  • 6Yang Q,Wang L,Yang R,et al.Stereo matching with color-weighted correlation,hierarchical belief propagation and occlusion handling.IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(3):492-504.
  • 7Bleyer M,Gelautz M.Gragph-based surface reconstruction from stereo pairs using image segmentation.In:Proceedings of the SPIE Symposium on Electronic Imaging,San Jose,CA,USA,2005,5665:288-299.
  • 8Hong L,Chen G.Segment-based stereo matching using graph cuts.In:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Reconition,Washington DC,USA,2004,1:74-81.
  • 9Comaniciu D,Meer P.Mean shift:a robust approach toward feature space analysis.IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(5):603-619.
  • 10Tao H,Sawhney H S.Global matching criterion and color segmentation based stereo.In:Proceedings of the IEEE Workshop on Applications of Computer Vision,Palm Springs,CA,USA,2000.246-253.

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