New virtual SPIHT tree structures for very low memory strip-based image compression

被引：19

作者：

Chew, Li Wern ^{[1
]}

Ang, Li-Minn ^{[1
]}

Seng, Kah Phooi ^{[1
]}

机构：

[1] Univ Nottingham Jalan Broga, Sch Elect & Elect Engn, Semenyih 43500, Selangor, Malaysia

来源：

IEEE SIGNAL PROCESSING LETTERS | 2008年 / 15卷

关键词：

low memory set-partitioning in hierarchical trees (SPIHT); spatial orientation tree; strip-based coding; wavelet-based image compression;

D O I：

10.1109/LSP.2008.920515

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：389 / 392

页数：4

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