Highly scalable, low-complexity image coding using zeroblocks of wavelet coefficients

Gui Xie, Hong Shen

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


We propose a new highly scalable wavelet transform-based image coder, called S-SPECK, on the extension of a well-known zero-block image coder SPECK, by achieving not only distortion scalability, resolution scalability, and region of interest (ROI) retrievability, but also excellent compression performance with very low computational complexity. Though new features have been introduced into S-SPECK, our coder is quite competitive with SPECK on compression performance (peak signal-to-noise ratio) and computational complexity (encoding and decoding times) at various bit rates for standard test images. A novel quality layer formatting method is implemented in S-SPECK, which is much simpler and faster than PCRD used in JPEG2000. Extensive experiments have verified all our claims for S-SPECK.

Original languageEnglish
Pages (from-to)762-770
Number of pages9
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number6
Publication statusPublished - Jun 2005
Externally publishedYes


  • Distortion scalability
  • Quality layer
  • Region of interest (ROI) retrievability
  • Resolution scalability
  • Wavelet transform
  • Zeroblock


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