Title :
A fast image coding algorithm based on lifting wavelet transform
Author :
Wang, Xuechun ; Liu, Shenxiao ; Han, Fang
Author_Institution :
Sch. of Inf. Eng., Huanghe Sci. & Technol. Coll., Zhengzhou, China
Abstract :
In order to make the image compression algorithm have higher compression ratio and better image recovery quality, based on SPIHT algorithm analysis, an efficient image coding algorithm FSPIHT(Fast Set Partitioning In Hierarchical Trees) has been proposed. The algorithm introduces the lifting wavelet and a wavelet basis (V9/3) based on human visual system, the classification of LIS (the List of Insignificant Sets) is deleted in the new compression algorithm, the hierarchical trees in wavelet decomposition are coded equally from son generation to grandson generation. The experimental result proves that the rebuilt image of this algorithm has better visual effect and moreover improves coding speed.
Keywords :
data compression; image classification; image coding; set theory; trees (mathematics); wavelet transforms; fast set partitioning in hierarchical trees; grandson generation; human visual system; image coding algorithm; image compression algorithm; image recovery quality; lifting wavelet transform; list of insignificant sets classification; wavelet decomposition; Algorithm design and analysis; Classification algorithms; Humans; Image coding; Signal processing algorithms; Wavelet transforms; SPIHT; human visual system; image coding; lifting wavelet transform;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100373
