Block-based frequency scalable technique for efficient hierarchical coding

Jooheung Lee, Narayanan Vijaykrishnan, Mary Jane Irwin, Rajarathnam Chandramouli

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


In this paper, we propose a block-based frequency scalable technique for efficient hierarchical coding. The proposed technique divides an image into its multiple resolution versions, based on the spectral properties of discrete cosine transform (DCT) kernels. We present that spectral decomposition, downsampling, and DCT operations are performed effectively over input DCT coefficients of one-dimensional (1-D) and two-dimensional (2-D) signals by using the proposed transform matrices. The proposed image coder is observed to reduce the computational complexity and the memory buffer size with a higher peak signal-to-noise ratio (PSNR), when compared with the traditional hierarchical image coder. In addition, the proposed architecture can preserve compatibility easily with the previous DCT-based image coder.

Original languageEnglish (US)
Pages (from-to)2559-2566
Number of pages8
JournalIEEE Transactions on Signal Processing
Issue number7
StatePublished - Jul 2006

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering


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