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An area efficient low power inner product computation for discrete orthogonal transforms

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2 Author(s)
Chandrasekaran, S. ; Inst. of Electron., Commun. & Inf. Technol., Queen''s Univ., Belfast, UK ; Amira, A.

Inner product is an important operation in image processing applications dealing with discrete orthogonal transforms (DOTs). In this paper, a novel power efficient architecture for the computation of inner product is proposed, along with an analysis of the dynamic power consumption of the proposed algorithm. A comparison is made with the conventional distributed arithmetic (DA) approach for computing the inner product. The proposed architecture has been tested and implemented on the Xilinx Virtex-E FPGA. Results obtained have shown that, the total power consumption and the number of LUT required to implement the design of the proposed algorithm is reduced by 51% and 77% respectively in comparison with the conventional DA approach.

Published in:

Image Processing, 2005. ICIP 2005. IEEE International Conference on  (Volume:3 )

Date of Conference:

11-14 Sept. 2005