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• 论文 •    

提升小波运动补偿时域滤波可伸缩视频编码

李 强, 王世刚, 纪腾飞
  

  1. 吉林大学 通信工程学院,长春 130012
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-11-20 发布日期:2008-11-20
  • 通讯作者: 李 强

Scalable Video Coding of Lifting Wavelet Motion Compensation Temporal Filter

LI Qiang, WANG Shigang,JI Tengfei   

  1. College of Communication Engineering, Jilin University,Changchun 130012,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-11-20 Published:2008-11-20
  • Contact: LI Qiang

摘要: 为了改善传统可伸缩性视频编码方法效率不高的问题,将提升小波应用于运动补偿时域滤波中。利用5/3提升小波进行时域滤波,针对像素的连接类型不同采取不同的处理方式,并根据运动补偿效果自适应选取时域分解级数。实验结果表明,该算法不仅实现了码率良好的可伸缩性,而且与MPEG4(Moving Pictures Expert Group4)和3DWT(3 Dimensions Wavlet Transformation)方法相比,在相同码率的条件下,重建图像的信噪比提高了1~2 dB,从而有效地提高了编码效率。

关键词: 可伸缩视频编码, 提升小波, 运动补偿时域滤波, 视频压缩

Abstract: In order to improve the traditional scalable video coding performance, the lifting wavelet is used in MCTF (Motion Compensated Temporal Filtering). The 5/3 lifting wavelet is carried on the temporal filter. Different motionhandled modes are adopted to deal with pixels with different connected states, and according to motion compensation effect the progression of temporal domain decomposition is autoadapted. The experimental results show that the algorithm achieves a rate of scalability,and the PSNR is 1~2 dB better than MPEG4(Moving Pictures Expert Group4) and 3DWT(3 Dimensions Wavlet Transformation) with the same compensation rate, and effectively enhance the code performance.

Key words: motion compensated temporal filtering(MCTF), video compensation, scalable video coding, lifting wavelet

中图分类号: 

  • TN919.8