DocumentCode
3513107
Title
A cost-error optimized architecture for 9/7 lifting based Discrete Wavelet Transform with balanced pipeline stages
Author
Aminlou, Alireza ; Refan, Fatemeh ; Hashemi, M.R. ; Fatemi, Omid ; Safari, Saeed
Author_Institution
Multimedia Process. Lab., Univ. of Tehran, Tehran
fYear
2009
fDate
19-24 April 2009
Firstpage
589
Lastpage
592
Abstract
Discrete wavelet transform (DWT) is increasingly recognized in image/video compression standards, as indicated by its use in JPEG2000. The lifting scheme algorithm is an alternative DWT implementation that has a lower computational complexity. In this paper, a new high performance lifting-based architecture is presented for the 9/7 DWT engine. The proposed architecture has a balanced pipeline and improves both the computational error and hardware complexity for any given working frequency. In the proposed architecture, the constant coefficients are modified by introducing new variables to the conventional lifting structure to minimize hardware cost and computational error, imposed by quantization of coefficients. Simulation results indicate a quality improvement of up to 15 dB when compared to an architecture using the standard coefficients that has the same hardware cost and working frequency. Similarly, the hardware cost is reduced by about 20% when both architectures deliver the same PSNR when operating at the same frequency.
Keywords
computational complexity; discrete wavelet transforms; video coding; balanced pipeline stages; computational complexity; cost-error optimized architecture; discrete wavelet transform; image/video compression standards; lifting-based architecture; Computational complexity; Computer architecture; Costs; Discrete wavelet transforms; Frequency; Hardware; Image recognition; Pipelines; Transform coding; Video compression; Balanced pipeline; Constant multiplier; Discrete wavelet transform; Lifting-based architecture;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location
Taipei
ISSN
1520-6149
Print_ISBN
978-1-4244-2353-8
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2009.4959652
Filename
4959652
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