• Sumalatha p
• Prankaya K
• Dharani. K
• Sridavi G

Aiming at shortage of the SPIHT algorithm, an improved image compression algorithm is proposed, in order to over- come the shortcomings of decoding image quality and coding time, LS9/7 lifting wavelet transform is adopted. Ac- cording 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 experi- mental results have proved that the improved algorithm of image decoding time and the quality of reconstruction im- ages 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

"An Improved SPIHT Algorithm for Image Compression in Low Bit Rate", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.242-245, May-2019, Available :http://www.jetir.org/papers/JETIRCJ06054.pdf

"An Improved SPIHT Algorithm for Image Compression in Low Bit Rate", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp242-245, May-2019, Available at : http://www.jetir.org/papers/JETIRCJ06054.pdf