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High Speed Area Efficient VLSI Structure for Real Time Image Computing


Affiliations
1 Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India
2 Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India
     

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A VLSI architecture capable of real-time 2-D Discrete Wavelet Transform computing is proposed in this paper. The proposed architecture-- based on a new and fast convolution approach-- reduces the hardware complexity and a reduction in the critical path of the multiplier block. The architecture with an efficient utilization of memory area, produces one output in every clock cycle. As a result, real time DWT computation is feasible. The system is verified - using JPEG2000, on Xilinx Virtex-II Field Programmable Gate Array (FPGA) device without accessing any external memory.For an image size of 256x256 pixel a computation rate more than 270Msamples/s and a memory requirement of lessthan 16kb is the outcome of the proposed model. The proposed design requests reduced memory and provide very high-speed processing as well as high PSNR quality.


Keywords

Discrete Wavelet Transform (DWT), Fast Convolution, FPGA, VLSI.
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  • High Speed Area Efficient VLSI Structure for Real Time Image Computing

Abstract Views: 183  |  PDF Views: 3

Authors

V. P. Abithamol
Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India
E. P. Sumesh
Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India
R. Vidhyalavanya
Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

Abstract


A VLSI architecture capable of real-time 2-D Discrete Wavelet Transform computing is proposed in this paper. The proposed architecture-- based on a new and fast convolution approach-- reduces the hardware complexity and a reduction in the critical path of the multiplier block. The architecture with an efficient utilization of memory area, produces one output in every clock cycle. As a result, real time DWT computation is feasible. The system is verified - using JPEG2000, on Xilinx Virtex-II Field Programmable Gate Array (FPGA) device without accessing any external memory.For an image size of 256x256 pixel a computation rate more than 270Msamples/s and a memory requirement of lessthan 16kb is the outcome of the proposed model. The proposed design requests reduced memory and provide very high-speed processing as well as high PSNR quality.


Keywords


Discrete Wavelet Transform (DWT), Fast Convolution, FPGA, VLSI.