A low cost2-D inverse discrete cosine transform design for image-compression

Jiun-In  Guo*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


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 0.35μm CMOS technology.

Original languageEnglish
JournalMaterials Research Society Symposium - Proceedings
StatePublished - 1 Jan 2001
EventThermoelectric Materials 2000-The Next Generation Materials for Small-Scale Refrigeration and Power Generation Applications - San Francisco, CA, United States
Duration: 24 Apr 200027 Apr 2000

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