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New Virtual SPIHT Tree Structures for Very Low Memory Strip-Based Image Compression

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3 Author(s)
Li Wern Chew ; Sch. of Electr. & Electron. Eng., Nottingham Jalan Broga Univ., Semenyih ; Ang, Li-Minn ; Kah Phooi Seng

Images obtained with wavelet-based compression techniques such as set-partitioning in hierarchical trees (SPIHT) yield very good results. However, a lot of memory space is required as the wavelet coefficients for the whole image need to be stored for the process of set-partitioning coding. In this letter, we propose new virtual SPIHT tree structures for very low memory strip-based image compression. The advantage of the proposed work is that it reduces the memory requirements for practical software and hardware implementations significantly without sacrificing performance.

Published in:

Signal Processing Letters, IEEE  (Volume:15 )