A highly scalable speck image coder

Gui Xie, Hong Shen

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)


Pearlman's SPECK image coding algorithm is a distortion scalable coder which achieves excellent compression performance with very low computational complexity. However, SPECK has no resolution and ROI (region of interest) salabilities. In this paper, we extend it to a novel highly scalable image coder named S-SPECK through an efficient strategy of grouping the wavelet coefficients according to their resolution levels and relationship with ROIs. The proposed new coder not only retains all the advantages of SPECK, but also implements resolution and ROI scalabilities, which, we believe, is a better alternative than JPEG2000 for some applications. Extensive experiments have been conducted to verify all our claims.

Original languageEnglish
Pages (from-to)1297-1300
Number of pages4
JournalProceedings - International Conference on Image Processing, ICIP
Publication statusPublished - 2004
Externally publishedYes
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: 18 Oct 200421 Oct 2004


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