Advanced Video Compression Technique of H.264 Codec Using SPIHT Algorithm

The ever increasing bandwidth requirements for transmission of video signals in mobile and internet environment has necessitated video compression and attempts to compare the low bit rate characteristics of the major video compression methods. This paper makes use of H.264 using DCT and wavelet based video compression. Also attempts are made to compare the results of these methods. Initially the compressed signal / data is transmitted and the receiving end the video signals are reconstructed. This paper implements SPIHT(Set Partitioning in Hierarchical Trees) algorithm for video compression. The algorithm codes the most important wavelet transform coefficients first, and transmits the bits so that an increasingly refined copy of the original video can be obtained progressively.

[1]  A. Sengupta,et al.  Compressing still and moving images with wavelets , 1994, Multimedia Systems.

[2]  Michel Barlaud,et al.  Image coding using wavelet transform , 1992, IEEE Trans. Image Process..

[3]  Mislav Grgic,et al.  Performance analysis of image compression using wavelets , 2001, IEEE Trans. Ind. Electron..

[4]  Michael W. Marcellin,et al.  JPEG2000 - image compression fundamentals, standards and practice , 2013, The Kluwer international series in engineering and computer science.