Title :
A fast image compression algorithm based on SPIHT
Author :
Zhigang, Jia ; Xiaodong, Guo ; LinSheng, Li
Author_Institution :
Coll. of Electron. & Inf. Eng., TaiYuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
The combination of integer lifting wavelet transform with set partitioning in hierarchical trees algorithm has been widely used in the field of image compression. Based on this algorithm, the paper presents a image coding algorithm with lower memory and higher speed. The algorithm further takes human visual system into consideration and modifies SPIHT algorithm is according to the characteristic of weighted wavelet coefficients. Experiment result shows that, under the situation of low bit-rate, the new algorithm can prove the visual effect of reconstructed image at a certain degree. In addition, because the new algorithm has low memory requirement, the coding speed accelerates a lot. It has a very broad appliance future in the occasion of high desire of memory and speed.
Keywords :
data compression; image coding; image reconstruction; trees (mathematics); wavelet transforms; SPIHT; human visual system; image coding algorithm; image compression algorithm; integer lifting wavelet transform; lower memory; reconstructed image; set partitioning-in-hierarchical tree; Acceleration; Home appliances; Humans; Image coding; Image reconstruction; Partitioning algorithms; Visual effects; Visual system; Wavelet coefficients; Wavelet transforms; Human Visual System; hierarchical trees algorithm; integer lifting wavelet transform;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138911
