Concurrent encoding in hierachical trees for wavelet based image compression

Jing Xin Wang, F. H. Cheng, Alvin W.Y. Su

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

Wavelet based compression approaches becomes very popular in the last few years. In this paper, a method called CEIHT (Concurrent Encoding in Hierarchical Trees) rooted from SPIHT is proposed. This method tries to explore the relationship between adjacent resolution levels and encodes multiple coefficients with three fixed Huffman tables at the same time. Consistent coding efficiency improvement is achieved compared to the original SPIHT. Though wavelet based compression methods usually encode on a whole image, block based approaches have to be applied in many low-cost embedded applications because their memory space and computation power are usually limited. The proposed method is especially efficient in such cases. The performance of the proposed method is compared favorably to the highly acclaimed EBCOT based J2K when small coding block sizes are necessary.

Original languageEnglish
Pages (from-to)3173-3176
Number of pages4
JournalProceedings - International Conference on Image Processing, ICIP
Volume2
Publication statusPublished - 2004 Dec 1
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: 2004 Oct 182004 Oct 21

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'Concurrent encoding in hierachical trees for wavelet based image compression'. Together they form a unique fingerprint.

  • Cite this