Efficient Architectures for the Biorthogonal Wavelet Transform by Filter Bank and Lifting Scheme(VLSI Systems)
スポンサーリンク
概要
- 論文の詳細を見る
In this paper, two efficient VLSI architectures for biorthogonal wavelet transform are proposed. One is constructed by the filter bank implementation and another is constructed by the lifting scheme. In the filter bank implementation, due to the symmetric property of biorthogonal wavelet transform, the proposed architecture uses fewer multipliers than the orthogonal wavelet transform. Besides, the polyphase decomposition is adopted to speed up the processing by a factor of 2. In the lifting scheme implementation, the pipeline-scheduling technique is employed to optimize the architecture. Both two architectures are with advantages of lower implementation complexity and higher throughput rate. Moreover, they can also be applied to realize the inverse DWT efficiently. Based on the above properties, the two architectures can be applied to time-critical image compressions, such as JPEG2000. Finally, the architecture constructed by the lifting scheme is implemented into a single chip on 0.35μm 1P4M CMOS technology, and its area and working performance are 5.005 × 5.005 mm^2 and 50MHz, respectively.
- 社団法人電子情報通信学会の論文
- 2004-07-01
著者
-
Liu C‐c
National Cheng‐kung Univ. Tainan Twn
-
SHIAU Yeu-Horng
Department of Electrical Engineering National Cheng Kung University Tainan
-
JOU Jer
Department of Electrical Engineering National Cheng Kung University Tainan
-
LIU Chin-Chi
Department of Electrical Engineering National Cheng Kung University Tainan
-
Jou Jer
Department Of Electrical Engineering National Cheng Kung University
-
Shiau Yeu-horng
Department Of Electrical Engineering National Cheng Kung University
関連論文
- Microcrystalline SiC Films Grown by Electron Cyclotron Resonance Chemical Vapor Deposition at Low Temperatures
- Efficient Architectures for the Biorthogonal Wavelet Transform by Filter Bank and Lifting Scheme(VLSI Systems)
- A High-Performance Tree-Block Pipelining Architecture for Separable 2-D Inverse Discrete Wavelet Transform( Development of Advanced Computer Systems)