Video Coding Using 3-D Dual-Tree Discrete Wavelet Transforms
Beibei Wang, Yao Wang, Ivan Selesnick, Anthony Vetro · 2006
The paper explores the use of a recently introduced 3D dual-tree discrete wavelet transform (DDWT) for video coding. The 3D DDWT is an attractive video representation because it isolates motion along different directions in separate subbands. However, it is an overcomplete transform with 8:1 or 4:1 redundancy. Based on the effectiveness of the iterative projection-based noise shaping scheme proposed by Kingsbury in reducing the number of coefficients, and our prior investigation about the correlation between subbands at the same spatial/temporal location, both in the significance map and in actual coefficient values, a new video coding scheme using 3D DDWT is proposed. The proposed video codec does not require motion compensation and provides better performance than the 3D SPIHT codec, both objectively and subjectively, despite the fact that the raw number of coefficients resulting from the 3D DDWT is much more than that of the conventional 3D DWT. The proposed coder allows full scalability in spatial, temporal and quality dimensions.