DocumentCode :
233918
Title :
Hardware Efficient VLSI Architecture for 3-D Discrete Wavelet Transform
Author :
Darji, Anand ; Shukla, Satyavati ; Merchant, S.N. ; Chandorkar, A.N.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Bombay, Mumbai, India
fYear :
2014
fDate :
5-9 Jan. 2014
Firstpage :
348
Lastpage :
352
Abstract :
In this paper, a hardware efficient lifting based parallel 3-D Discrete Wavelet Transform (DWT) architecture for infinite group of pictures is proposed. Two parallel spatial and temporal DWT modules of the proposed 3-D DWT architecture give high throughput of 4 results per clock cycle. 1-D DWT blocks are employed for the spatial and temporal processing, respectively. Two parallel spatial processors reduce the requirement of frame memory for temporal transformation. Higher throughput reduces the working clock cycles which leads to low power design. A novel dual scanning in Z-fashion is utilized to reduce the internal transpose buffer requirement and waiting time of both the column and the temporal processors. The comparison results show that the internal memory requirement of the proposed 3-D DWT architecture is smaller than other familiar architectures. The Register Transfer Logic (RTL) of the proposed design is described using VHDL and synthesized for the Xilinx Virtex-IV series field programmable gate array (FPGA). The RTL of the proposed design is also synthesized using UMC 180 nm technology CMOS standard cell library for Application Specific Integrated Circuit (ASIC) design.
Keywords :
CMOS integrated circuits; VLSI; application specific integrated circuits; discrete wavelet transforms; field programmable gate arrays; hardware description languages; integrated circuit design; low-power electronics; ASIC design; CMOS standard cell library; DWT architecture; RTL; UMC technology; VHDL; VLSI architecture; Xilinx Virtex-IV series FPGA; application specific integrated circuit design; column processors; dual scanning; field programmable gate array; frame memory; hardware efficient lifting; internal memory requirement; low power design; parallel 3D discrete wavelet transform; register transfer logic; size 180 nm; spatial processing; temporal processing; Discrete wavelet transforms; Memory management; Microprocessors; Program processors; Very large scale integration; ASIC; Data Flow Graph; Discrete Wavelet Transform; FPGA; Lifting; VLSI Architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
VLSI Design and 2014 13th International Conference on Embedded Systems, 2014 27th International Conference on
Conference_Location :
Mumbai
ISSN :
1063-9667
Type :
conf
DOI :
10.1109/VLSID.2014.66
Filename :
6733155
Link To Document :
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