Redundant Wavelet Transform in Video Signal Processing

نویسندگان

  • Suxia Cui
  • Yonghui Wang
چکیده

In this paper, the authors conduct a review on redundant wavelet transform (RDWT) in video signal processing. As an over-complete version of discrete wavelet transform (DWT), RDWT provides several advantages over the traditional DWT. In video coding area, we utilize its shift-invariant property and its phase-diverse multihypothesis, which are not provided by DWT, to build high performance video coding system. While in video watermarking area, the RDWT provides a more accurate estimation on locations where watermarks can be embedded. Thus, using RDWT, we can embed more watermarks than DWT approach without harming the non-perceivable requirement. After exploring several successful applications in video coding and video watermarking areas, the authors give a discuss on some future issues.

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تاریخ انتشار 2006