Proceedings of the International Conference
I W S S I P   2005
12th INTERNATIONAL WORKSHOP ON SYSTEMS, SIGNALS & IMAGE PROCESSING

22 - 24 September 2005, Chalkida Greece
 
(from Chapter 1: Invited Addresses and Tutorials on Signals, Coding, Systems and Intelligent Techniques)

 Full Citation and Abstract

0 Title: Non-Separable 2-D and 3-D Discrete Wavelet Transform for Image and Video Processing Using Lifting Scheme
  Author(s): Safar Hatami, Shervin Sharifi, Mahmoud Kamarei, Hossein Ahmadi, Ahdiyeh Delfan Abazari
  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
  Reference: SSIP-SP1, 2005  pp. 83 - 87
  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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