收稿日期: 2009-06-08
修回日期: 2009-11-05
网络出版日期: 2010-03-15
基金资助
国家863计划项目(2008AA121805-1)资助
An improved SPIHT algorithm for texture image compression
Received date: 2009-06-08
Revised date: 2009-11-05
Online published: 2010-03-15
潘志刚 , 高鑫 . 针对纹理图像压缩的改进SPIHT算法[J]. 中国科学院大学学报, 2010 , 27(2) : 222 -227 . DOI: 10.7523/j.issn.2095-6134.2010.2.012
An improved SPIHT algorithm for texture image compression is proposed. A re-decomposition scheme is applied to the one order wavelet transformation coefficients independently in the LL, HL, LH, and HH sub-bands, and then the SPIHT algorithm is adopted to encode the mixed coefficients of the four sub-bands jointly. This method does not process the four sub-bands separately. The quantization bit allocation in the sub-bands is embedded in encoding process and precise bit allocation among the four sub-bands is automatically implemented. This method adequately utilizes the high frequency information of wavelet coefficients and efficiently preserves the image texture while the PSNR is not degraded. The experimental results validate the effectiveness of this improved algorithm for texture image compression.
Key words： image compression; SPIHT; high-frequency decomposition; texture image
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