Research On Video Compression Algorithms Using Wavelet Transform

Video compression has long been one of the main topics of compression coding. Since it is critical to HDTV, DVD, Video conference, etc. In order to avoid the faults of international standards, a number of embedded wavelet coefficients coding models have been proposed. Due to its multiresolution, time/frequency localization and lower time complexity, wavelet is suitable for scalable video coding, which has been applied to coding algorithms such as EZW, SPIHT and EBCOT. Embedded coding schemes are SNR scalable, and, even farther, which are essential in transmission of image and video on Internet.There have been two type of embedded coding. The first is based on partial order and self-similarity between subbands of wavelet coefficients, which organizes the wavelet coefficients across subbands into a zerotree, while the second is based on context models, using the correlation of neighboring wavelet coefficients. Inspired by typical coding schemes such as EZW, SPIHT, EBCOT, 3D-IEZW, 3D-SPIHT and 3D-ESCOT, a new context model of wavelet coefficients is proposed, which make use of partial order, self-similarity between subbands of wavelet coefficients and the correlation of neighboring wavelet coefficients. Experimental results show that the model can achieve higher PSNR than 3D-ESCOT .while at the same time keeping all the advantages of 3D-ESCOT. In order to further improve the compression performance, the model is modified with the help of motion compensation technique. Experimental results also show that at various conditions, MC-3DPEM is superior to 3D-PEM without motion compensation...