AN INVESTIGATION OF 3D DUAL-TREE WAVELET TRANSFORM FOR VIDEO CODING (TA-L5)

Author(s) : Beibei Wang (Polytechnic University, USA) Yao Wang (Polytechnic University, USA) Ivan Selesnick (Polytechnic University, USA) Anthony Vetro (Mitsubishi Electric Research Lab, USA)

Abstract : This paper examines the properties of a recently introduced 3-D dual-tree discrete wavelet transform (DDWT) for video coding. The 3-D 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 redundancy. We examine the effectiveness of the iterative projective-based noise shaping scheme proposed by Kingsbury [3] on reducing the number of coefficients. We also investigate the correlation between subbands at the same spatial/temporal location, both in the significance map and in actual coefficient value.

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