Author(s)

Ping Liu, Guanfeng Li

School of Physical and Electrical Information Engineering, Ningxia University, Yinchuan, China.

Aiming at shortage of the SPIHT algorithm, an improved image compression algorithm is proposed, in order to overcome the shortcomings of decoding image quality and coding time, LS9/7 lifting wavelet transform is adopted. According to the characteristics of the human visual system (HVS), the scanning mode and the method to determine the threshold of algorithm are changed to improve the quality of reconstruction image. On the question of repeating scan of SPIHT algorithm, using maximum list thought, greatly reduce the computation and save operating time. The experimental results have proved that the improved algorithm of image decoding time and the quality of reconstruction images are better than the original algorithm , especially in the case of low bit rate.

Wavelet Transformation; Lifting Scheme; Threshold; Set Partitioning in Hierarchical Trees(SPIHT); Human Visual System(HVS); Image Compression; Low Bit Rate

Liu, P. and Li, G. (2013) An Improved SPIHT Algorithm for Image Compression in Low Bit Rate. Communications and Network, 5, 245-248. doi: 10.4236/cn.2013.53B2045.