Inverse discrete cosine transform architecture exploiting sparseness and symmetry properties

J. Lee, N. Vijaykrishnan, M. J. Irwin, R. Radhakrishnan

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


In this paper, a novel architecture for 2-D IDCT is proposed, based on the sparseness property of 2-D DCT coefficient matrix and the even and odd symmetry property of the basis vectors of the 1-D DCT transform. The proposed architecture performs 2-D IDCT directly on the 2-D DCT coefficient matrix to avoid timing and area overheads of the transposition. We derive a recursion equation from the definition of the 2-D IDCT algorithm and use it to design an efficient 2-D IDCT architecture. The proposed architecture consists of highly regular, parallel and pipelined elements which are suitable for VLSI implementation. It is shown that the proposed architecture can achieve a high throughput rate and a low hardware complexity, when compared with other DCT-based IDCT architectures. Another important aspect is that the proposed architecture can provide an efficient way to control the trade-off between visual quality of the reconstructed image and computational complexity.

Original languageEnglish (US)
Pages (from-to)361-366
Number of pages6
JournalIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
StatePublished - Dec 1 2004
Event2004 IEEE Workshop on Signal Processing Systems Design and Implementation, Proceedings - Austin, TX, United States
Duration: Oct 13 2004Oct 15 2004

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Signal Processing


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