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has been cited by the following article:

• TITLE: An Improved SPIHT Algorithm for Image Compression in Low Bit Rate

  AUTHORS: Ping Liu, Guanfeng Li

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

  JOURNAL NAME: Communications and Network, Vol.5 No.3C, November 11, 2013

  ABSTRACT: 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.