引入拉格朗日算子的纹理深度联合比特分配方法

杨旭; 李兵兵; 常义林

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引入拉格朗日算子的纹理深度联合比特分配方法

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- 引入拉格朗日算子的纹理深度联合比特分配方法
- Joint Bit Allocation Method for Texture Videos and Depth Maps with Lagrange Multiplier
- 西安交通大学学报 2012年46卷第12期页码：42-48
- 作者机构：
  
  西安电子科技大学综合业务网理论及关键技术国家重点实验室,西安,710071
- 作者简介：
- 基金信息：
  
  : 2012-04-12. 作者简介: 杨旭(1984-),女,博士生;常义林(通信作者),男,教授,博士生导师. 基金项目: 国家自然科学基金资助项目(61001205, 60902052, 60902081, 60772134);高等学校学科创新引智计划资助项目(B08038);中央高校基本科研业务费资助项目(72105457);西电-中兴联合研究资助项目
- DOI：
  中图分类号： TN911.7
- 网络首发：2012-12-10，
  
  纸质出版：2012
- 稿件说明：
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杨旭, 李兵兵, 常义林. 引入拉格朗日算子的纹理深度联合比特分配方法[J]. 西安交通大学学报, 2012,46(12):42-48.

Joint Bit Allocation Method for Texture Videos and Depth Maps with Lagrange Multiplier[J]. 2012, 46(12): 42-48.
杨旭, 李兵兵, 常义林. 引入拉格朗日算子的纹理深度联合比特分配方法[J]. 西安交通大学学报, 2012,46(12):42-48. DOI：

Joint Bit Allocation Method for Texture Videos and Depth Maps with Lagrange Multiplier[J]. 2012, 46(12): 42-48. DOI：

摘要

为了提高三维视频合成质量

提出一种新的纹理视频和深度图编码比特分配方法.该方法在比特分配中引入拉格朗日算子参量

从而在限制比特下进一步降低虚拟合成误差.首先依据统计实验并采用最小二乘拟合的方法

对纹理视频和深度图分别建立以拉格朗日算子为参数的编码误差模型和编码比特模型

然后利用编码误差和虚拟合成误差的相关性进一步推导出基于拉格朗日算子的虚拟合成误差的模型

最后结合所推导的模型建立虚拟合成误差最小化目标函数

利用无约束优化方法求解最优的纹理视频和深度图编码拉格朗日算子

并依据此算子进行比特分配.实验结果证明:与固定比特算法和全搜索量化步长算法相比

该方法在不同的编码条件下使合成视频质量平均提高0.25 dB和0.68 dB

且得到的编码总比特与目标比特最为接近

平均误差仅为0.45%.

Abstract

A novel joint bit allocation method for the texture videos and depth maps coding is proposed to improve the synthesis quality of 3D video(3DV). The contribution of the proposed method is that the Lagrange multiplier is introduced into the bit allocation as a parameter to further reduce the virtual synthesis distortion under the constrained bit. Both distortion model and bit model for texture videos and depth maps are constructed through statistical experiments

and the Lagrange multiplier is treated as a parameter in both of the models. Then

a model of warping errors is deduced by a comprehensive analysis on the relationship between the coding distortion and warping error

and an objective function for minimizing the warping error is designed using this model. A constrained optimization method is used to obtain the optimal Lagrange multipliers of the texture video and depth map coding

and then the bit is allocated using the resulting Lagrange multipliers. Experimental results verify that compared with the full search based bit allocation algorithm and fixed bit algorithm

the proposed method achieves an average gain of 0.25 dB and 0.68 dB under different coding conditions

respectively. Meanwhile

the coding bit of the proposed method is closer to the constrained bit

and the average error is only 0.45%.

关键词

Keywords

references

SMOLIC A, MUELLER K, STEFANOSKI N, et al. Coding algorithms for 3DTV: a survey [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2007, 17(11): 1606-1621.

刘晓仙,常义林,杨海涛,等. 任意视点电视系统中深度数据的自适应非均匀量化方法 [J]. 西安交通大学学报,2010, 44(2): 82-87.

LIU Xiaoxian, CHANG Yilin, YANG Haitao, et al. Adaptive non-uniform quantization of depth data in free-viewpoint television system [J]. Journal of Xi'an Jiaotong University, 2010, 44(2):82-87.

邓智玭,贾克斌,陈锐霖,等. 三维视频编码技术的发展与挑战 [J]. 计算机应用,2011, 31(9): 2543-2546.

DENG Zhipin, JIA Kebin, CHEN Ruilin, et al. New trend and challenges in 3D video coding [J]. Journal of Computer Applications,2011,31(9):2543-2546.

ONURAL L, GOTCHEV A, OZAKTAS H M, et al. A survey of signal processing problems and tools in holographic 3-D television [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2011, 17(11): 1631-1646.

TANIMOTO M, FUJII T. FTV: free viewpoint television [EB/OL].(2002-07-22)[2011-03-15]. http:∥wg11.sc29.org/m8595.

THEOBALT C, ZIEGLER G, MAGNOR M, et al. Model-based free-viewpoint video acquisition, rendering and encoding [C]∥Proceedings of Picture Coding Symposium. Piscataway, NJ, USA: IEEE, 2004:1-6.

SMOLIC A, MULLER K, DIX K, et al. Intermediate view interpolation based on multi-view video plus depth for advanced 3D video systems [C]∥Proceedings of International Conference on Image Processing. Piscataway, NJ, USA: IEEE, 2008: 2448-2451.

Telecommunication Standardization Sector. ITU-T recommendation H.264: audio visual and multimedia systems infrastructure of audiovisual services: coding of moving video [S]. Geneva, Switzerland: Telecommunication Standardization Sector, 2010.

FEHN C. Depth-image-based rendering(DIBR), compression and transmission for a new approach on 3D-TV [C]∥Proceedings of International Conference on Stereoscopic Displays and Virtual Reality Systems XI. Bellingham, WA, USA: SPIE, 2004: 93-104.

MORVAN Y, FARIN D, DE WITH P H N. Joint depth/texture bit allocation for multi-view video compression [C]∥Proceedings of Picture Coding Symposium. Glasgow, UK: EURASIP, 2007: 265-268.

LIU Yanwei, HUANG Qingming, MA Siwei, et al. Joint video/depth rate allocation for 3-D video coding based on view synthesis distortion model [J]. Signal Processing: Image Communication, 2009, 24(8): 666-681.

YUAN Hui, CHANG Yilin, HUO Junyan, et al. Model-based joint bit allocation between texture videos and depth maps for 3-D video coding [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2011, 21(4): 485-497.

BJONTEGAARD G. Calculation of average PSNR differences between RD-curves [EB/OL].(2001-03-28)[2011-11-10]. http:∥wftp3.itu.int/av-arch/video-site/010 4_Aus/VCEG-M33.doc.

苏洪磊, 李兵兵, 杨付正. H.264/AVC网络视频编码失真评估的比特流层模型. 2012,46(6):36-41.

冯妮娜, 常义林, 李鹏, 卢朝阳. 适用于不等保护的自适应视频编码方法. 2012,46(4):94-99.

刘河潮,杨付正,常义林,等. 考虑丢包特性的无参考网络视频质量评估模型. 2012,46(2):130-134.

王萍,邓妍,黄华. H.264中全零块检测的线性分类器算法. 2011,45(10):24-29.

陈士超,武其松,吴玉峰,等. 一种大斜视双基地合成孔径雷达的频率变标成像算法. 2011,45(10):82-87.

李鹏,常义林,冯妮娜,等. 用于视频传输的自适应分级正交幅度调制不等保护方法. 2011,45(4):72-76.

张志杰,邹建华. 面向压缩域视频拷贝检测的主要边缘相对相位算法. 2010,44(10):8-12.

侯兴松,薛端. 一种H.264残差系数修剪算法. 2010,44(10):52-56.

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