Abstract
An efficient algorithm for integer wavelet transform is proposed to reduce the hardware complexity by using lifting-based scheme. We designed an IPCR (image processing cache register) in VHDL for the proposed algorithm. The architecture of wavelet transform is composed of image processor, IPCR, original frame store, and redundant frame store. For this work only the IPCR block was implemented in FPGA platform. The designed IPCR contains two chains and one window block. This architecture has been synthesized using Max+PLUSII. The estimated cells of the proposed IPCR are 64 logic cells, and the estimated operation frequency is 47.84 MHz. We compared the proposed architecture with S-wavelet transform, assuming an 8x8 block horizontal computation. Our proposed architecture needs only 92 logic cells including one IPCR and two adders comparing with 192 logic cells of S-wavelet transform necessary eight registers and adders.
Original language | English |
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Title of host publication | Proceedings - KORUS 2003 |
Subtitle of host publication | 7th Korea-Russia International Symposium on Science and Technology |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 335-339 |
Number of pages | 5 |
ISBN (Electronic) | 8978686184, 9788978686181 |
State | Published - 2003 |
Event | 7th Korea-Russia International Symposium on Science and Technology, KORUS 2003 - Ulsan, Korea, Republic of Duration: 28 Jun 2003 → 6 Jul 2003 |
Publication series
Name | Proceedings - KORUS 2003: 7th Korea-Russia International Symposium on Science and Technology |
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Volume | 2 |
Conference
Conference | 7th Korea-Russia International Symposium on Science and Technology, KORUS 2003 |
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Country/Territory | Korea, Republic of |
City | Ulsan |
Period | 28/06/03 → 6/07/03 |
Bibliographical note
Publisher Copyright:© 2003 7th Korea-Russia Intl Sym on Science.
Keywords
- Algorithm design and analysis
- Computer architecture
- Field programmable gate arrays
- Frequency estimation
- Hardware
- Image processing
- Logic
- Process design
- Registers
- Wavelet transforms