期刊文献+

面向ROI编码的立体图像比特分配策略分析 被引量:3

Analysis of bit allocation for ROI based coding of stereoscopic images
下载PDF
导出
摘要 为了提高基于感兴趣区域(ROI)的立体图像编码的效率,从人眼视觉感知的角度提出了一种探寻合理的立体图像比特分配策略的方法。该方法设计了两个主观实验,其中实验I对各种比特分配策略下的失真立体图像进行视觉质量评价,而实验II在实验I的基础上对所有失真立体图像进行两两对比实验。实验结果表明:合理的比特分配策略对基于ROI的立体图像编码至关重要,且与图像内容无关,但与立体图像质量档次有关;在立体图像ROI采用量化参数(QP)为22、27、32、37的4种不同质量档次编码时,对应的合理分配策略下非ROI与ROI之间QP差异值分别约为9、6、3、3;立体图像ROI与非ROI比特分配策略的确定,能够在保证立体图像整体主观质量不变的同时有效地提高立体图像的编码效率。 A subjective bit allocation method is proposed to improve the efficiency of region of interest (ROI) based coding stereoscopic images in the paper. The method is described with the two designed subjective experiments as below. Experiment I is to evaluate the visual quality of distorted stereoscopic images in ROI based coding using variety of bit allocation schemes. Experiment II makes paired comparison to all the distorted stereoscopic images. The experimental results show that a strategy for bit allocation is very important to ROI based coding, and bit allocation is relevant to image quality level but not to image contents. When stereoscopic images are coded with four different quality levels, whose ROI quantized parameter (QP) values are 22, 27, 32, 37, the differences of QP values between ROI and non-ROI in the corresponding reasonable schemes are 9, 6, 3, and 3, respectively. The determination of the QP difference will guarantee the overall subjective quality of stereoscopic images and the improvement of coding efficiency.
出处 《高技术通讯》 CAS CSCD 北大核心 2011年第10期1048-1055,共8页 Chinese High Technology Letters
基金 国家自然科学基金(60872094,60832003,61071120),教育部博士点基金(200816460003),浙江省自然科学基金(Y1101240,Y1090752)和浙江省研究生创新科研(YK2009044)资助项目.
关键词 立体图像 视觉质量 感兴趣区域(ROI) 比特分配 stereoscopic images, visual quality, region of interest ( ROI), bit allocation
  • 相关文献

参考文献17

  • 1De Silva D V S X, Femando W A C, Yasakethu S L P. Object based coding of the depth maps for 3D video cod- ing. IEEE Trans. Consumer Electronics, 2009, 55 (3) : 1699-1706.
  • 2Karlsson L S, Sjostrom M. Region-of-Interest 3D video coding based on depth images. In: Proceedings of the 3DTV Conference on the True Vision-Capture, Transmis- sion and Display of 3D Video, Istanbul, Turkey, 2008. 141-144.
  • 3Han J, Ngan K N, Li M, et al. Unsupervised extraction of visual attention objects in color images. IEEE Trans CSVT, 2006, 16(1): 141-145.
  • 4Ma Y F, Hua X S, Lu L, et al. A generic framework of user attention model and its application in video summari- zation. IEEE Trans Multimedia, 2005, 7(5) : 907-919.
  • 5Bruce N, Tsotsos J K. Saliency based on information maximization. Advances in Neural Information Processing Systems, 2006, 18 : 155-162.
  • 6Zhang Y, Jiang G, Yu M, et al. Depth perceptual region- of-interest based muhiview video coding. Journal of Visu- al Communication and Image Representation, Elsevier, 2010, 21(5-6) : 498-512.
  • 7Cvejic N, Seppiinen T, Godsill S J. A nonreference image fusion metric based on the regional importance measure. IEEE Journal of Selected Topics in Signal Processing, 2009, 3(2): 212-221.
  • 8ISO/IEC JTC1/SC29/WGll and MPEG 2005/ M12022M : Test sequences for call for proposals on multi- view video coding, Hong Kong, China, Jan. 2005.
  • 9ISO/IEC JTC1/SC29/WG11 and MPEG 2008/M15413 : HHI test material for 3D video, Archamps, France, April 2008.
  • 10ISO/IEC JTC1/SC29/WG11 and ITU-T SG16 Q. 6: Joint multiview video model (JMVM) 7.0, JVT-Z207, Anta- lya, Turkey, Jan. 2008.

二级参考文献8

  • 1Engeldrum P G.Psychometric scaling[M].Winchester:Imcotek Press,2000:14-35.
  • 2Engeldrum P G.A theory of image quality:the image quality circle[J].Journal of Image Science and Technology,2004,48(5):447-457.
  • 3Heynderickx I,Langendijk E.Image-quality comparison of PDPs,LCDs,CRTs and LCoS projection displays[C]//Proceeding of SID.Boston,2005:1502-1505.
  • 4Zhang X,Wandell B A.Color image fidelity metrics evaluated using image distortion maps[J].Signal Processing,1998,70(3):201-214.
  • 5National Electrical Manufacturers Association.PS 3,Part 14:Grayscale Standard Display Function[S].Virginia:National Electrical Manufacturers Association,2003.
  • 6Liu L,Xia J,Heynderickx I,et al.Visibility threshold in sharpness for people with different regional backgrounds[J].Journal of SID,2004,12(4):509-515.
  • 7Fairchild M D.Color appearance models[M].Chichester:John Wily & Sons Press,2005:42-45.
  • 8Rajae-Joordens R,Enge J.Paired comparisons in visual perception studies using small sample sizes[J].Displays,2005,26(1):1-7.

共引文献3

同被引文献89

  • 1安平,刘苏醒,高欣,张兆杨.基于视差和阈值分割的立体视频对象提取[J].中国图象图形学报,2006,11(11):1669-1672. 被引量:3
  • 2Marpe D,Wiegand T,Sullivan G J. The H.264/MPEG4 advanced video coding standard and its applications[J].IEEE Communications Magazine,2006,(08):134-143.doi:10.1109/MCOM.2006.1678121.
  • 3Zilly F,Kluger J,Kauff P. Production rules for stereo acquisition[J].Proceedings of the IEEE,2011,(04):590-606.
  • 4Merkle P,Maller K,Wiegand T. 3D video:acquisition,coding,and display[J].IEEE Transactions on Consumer Electronics,2010,(02):946-950.
  • 5Park I,Kim M,Kim H. Interactive multi-view video adaptation for 3DTV[A].Istanbul,Turkey,2008.89-92.
  • 6Gurler C G,Gorkemli B,Saygili G. Flexible transport of 3-D video over networks[J].Proceedings of the IEEE,2011,(04):694-707.
  • 7Vetro A,Wiegand T,Sullivan G. Overview of the stereo and multiview video coding extensions of the H.264/MPEG-4AVC standard[J].Proceedings of the IEEE,2011,(04):626-642.
  • 8Vetro A,Tourapis A M,Muller K. 3D-TV content storage and transmission[J].IEEE Transactions on Broadcasting,2011,(02):384-394.
  • 9Shao F,Jiang G Y,Yu M. Asymmetric coding of multi-view video plus depth based 3-D video for view rendering[J].IEEE Transactions on Multimedia,2012,(01):157-167.
  • 10Merkle P,Smolic A,Muler K. Efficient prediction structures for multiview video coding[J].IEEE Transactions on Circuits and Systems for Video Technology,2007,(11):1461-1473.doi:10.1109/TCSVT.2007.903665.

引证文献3

二级引证文献36

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部