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A low cost 2-D inverse discrete cosine transform design for image compression

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1 Author(s)
Jiun-In Guo ; Dept. of Electron. Eng., Nat. Lien-Ho Inst. of Technol., Miao-Li, Taiwan

This paper proposes a low cost 2-D inverse discrete cosine transform (IDCT) for image compression by using cyclic convolution and adder-based implementation. We formulate the 1-D IDCT into cyclic convolution and carry out the multiplications through adders by using the concept of common sub-expression sharing. The proposed 2-D IDCT design costs 7413 gates plus 1024 bits of memory with 66 MHz throughput based on a 0.35 μm CMOS technology

Published in:

Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on  (Volume:4 )

Date of Conference:

6-9 May 2001