Scalable Video Coding Using Adaptive Directional Lifting-Based Wavelet Transform

نویسندگان

  • Chao-Hsiung Hung
  • Hsueh-Ming Hang
چکیده

Abstract—3-D wavelet video coding technique provides an elegant solution to the multimedia transmission scalability requirement. It uses motion-compensated temporal filtering (MCTF) for temporal decomposition and 2-D discrete wavelet transform (2-D DWT) for spatial decomposition. MCTF decomposes video frames into temporal high-pass residuals and temporal low-pass residuals. The temporal high-pass residuals have similar statistical properties as the motion compensation residuals but the temporal low-pass ones are similar to the original images. The adaptive directional lifting-based wavelet transform (ADLWT) finds the best filter direction in an image local area and provides better energy compaction than DWT. In this paper, we use ADLWT to replace 2-D DWT to improve the performance of 3-D wavelet video coding.

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تاریخ انتشار 2011