Full Citation and Abstract
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Title: |
Non-Separable 2-D and 3-D Discrete Wavelet Transform for Image and Video Processing Using Lifting Scheme |
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Author(s): |
Safar Hatami, Shervin Sharifi, Mahmoud Kamarei, Hossein Ahmadi, Ahdiyeh Delfan Abazari |
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Address: |
Department of Electrical and Computer Engineering,
University of Tehran, Tehran, Iran
Department of Electrical and Computer Engineering,
University of Tehran, Tehran, Iran
Department of Electrical and Computer Engineering,
University of Tehran, Tehran, Iran
Department of Electrical and Computer Engineering,
University of Tehran, Tehran, Iran and University of British Columbia
Department of Physics,
University of Tehran
s.hatami @ ece.ut.ac.ir, shervin @ cad.ece.ut.ac.ir, kamarei @ ut.ac.ir, ahmadi @ ece.ubc.ca, ahdiyehd @ yahoo.com |
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Reference: |
SSIP-SP1, 2005 pp. 83 - 87 |
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Abstract/
Summary |
In this paper, lifting based Non-Separable 2D and 3D Discrete Wavelet Transform (DWT) is presented. Under the proposed lifting scheme with non-separable filters, several advantages are gained particularly in hardware implementation. The proposed algorithm results in a significant reduction in the number of computations as compared with convolution-based non-separable wavelet transform. This approach does not require any transposition and has a better SNR with a narrower bus bandwidth. It is compatible with applications requiring 2D scanning such as vector quantization. In addition to eliminating the transposition stage, it has a lower latency. Another attractive characteristic of lifting scheme with non-separable discrete wavelet transform is the simultaneous generation of all of four subband coefficients, approximations, diagonal details, vertical details, and horizontal details. |
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