Video Coding Without Motion Compensation Using a 3-D Dual-Tree Wavelet Transform

نویسندگان

  • Beibei Wang
  • Yao Wang
  • Ivan Selesnick
  • Anthony Vetro
چکیده

This paper explores the use 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 or 4:1 redundancy. Based on the effectiveness of the iterative projectionbased noise shaping scheme proposed by Kingsbury on reducing the number of coefficients, and the 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 3D SPIHT, both objectively and subjectively, despite the fact that the raw number of coefficients resulting from the 3-D DDWT is much more than that of the conventional 3-D DWT. The proposed coder allows full scalability in spatial, temporal and

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تاریخ انتشار 2004