Fractal functions and wavelet expansions based on several scaling functions
Journal of Approximation Theory
3D-DCT Quantization as a Compression Technique for Video Sequences
VSMM '97 Proceedings of the 1997 International Conference on Virtual Systems and MultiMedia
A High Speed Shift-Invariant Wavelet Transform Chip for Video Compression
ISVLSI '02 Proceedings of the IEEE Computer Society Annual Symposium on VLSI
An adaptive GOP structure selection for haar-like MCTF encoding based on mutual information
Multimedia Tools and Applications
Low bit-rate video coding with 3d lower trees (3D-LTW)
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
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To improve the video encoding efficiency and deal with the real-time demerits of the multiwavelet time-domain filtering in the 3D multiwavelet, a multiwavelet video coding scheme based on DCT(Digital Cosine Transform) time-domain filtering is proposed in this paper. Firstly, the multiwavelet transformation is applied to get the spatial domain of the frame in video. Then, 3D transformation coefficients are obtained by the DCT time-domain filtering on the multiwavelet coefficients. Finally the 3D transformation coefficients are coded to be embed bitstream by using the symmetric 3-D SPIHT(Set partitioning in hierarchical trees). The experimental results indicate that the new method outperforms those based on 3D DMWT(discrete multiwavelet transform) in terms of PSNR(peak signal to noise ration) with better video quality at the same compression ratio, and it shows lower complexity.