计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 237-239.doi: 10.11896/j.issn.1002-137X.2016.11A.054

• 模式识别与图像处理 • 上一篇    下一篇

基于Surfacelet变换和SPIHT算法的视频压缩

王海燕,殷俊,潘显萌   

  1. 公安部第三研究所 上海201204,公安部第三研究所 上海201204,公安部第三研究所 上海201204
  • 出版日期:2018-12-01 发布日期:2018-12-01

Video Compression Based on Surfacelet Transform and SPIHT Algorithm

WANG Hai-yan, YIN Jun and PAN Xian-meng   

  • Online:2018-12-01 Published:2018-12-01

摘要: 提出一种基于Surfacelet变换并结合SPIHT算法的视频压缩编码方法。这种新方法把视频信号作为特殊的三维信号,对信号的空间和时间维进行整体处理。Surfacelet变换具有多方向分解、各向异性、高效率的树结构滤波器组、可完全重建和低冗余度等性质。SPIHT算法具有分辨率质量上的可伸缩性、渐进传输性等特性。利用Surfacelet变换的分解系数在各层间相关以及图像能量集中的特性,结合SPIHT算法完成视频数据的压缩编码。这种新的视频压缩编码方法能弥补三维小波变换的缺陷,达到更高的 PSNR 值和更好的视觉效果,尤其适用于纹理复杂度较高、运动幅度较小的视频。

关键词: Surfacelet变换,多尺度分解,多维方向滤波器组,SPIHT算法,视频压缩

Abstract: A new video compression coding method based on Surfacelet transform and SPIHT algorithm was proposed.The new method treats the video signal in a special 3D signal with space and time axes in a whole.Surfacelet transform achives properties of multi-directional decomposition,anisotropy,efficient tree-structured implementation,refinable angular resolution,low redundancy and so on.SPIHT algorithm is scalable and progressive in resolution.The video data compression coding is completed by using the properties of correlation and energy concentration between layers of decomposing factors in Surfacelet transform and SPIHT algorithm.The new video compression coding method can overcome the shortcoming of the method based on 3D wavelet transform,achiving higher PSNR and better vision effect,especially for video with complex texture and small motion.

Key words: Surfacelet transform,Multiscale decomposition,NDFB,SPIHT algorithm,Video compression

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