一種基于塊樹結構的SPIHT數字圖像壓縮算法: 在分析圖像經過小波變換后所具有的特性的基礎上,提出了一種改進的SPIHT算法.由于低頻系數占據圖像的百分之九十以上的能量,在圖像的重構中十分重要,所以,對這些系數不進行壓縮而直接傳輸 而最高頻系數相對不重要,所以不做處理,只在圖像重構時以指定的數值予以重構,因此不僅提高了圖像的質量,同時提高了圖像的壓縮率.在具體的算法中,提出了塊樹的結構,減少了算法所需的內存,拓寬了算法的應用范圍.-A tree structure based on the SPIHT block of digital image compression algorithm: After the analysis of images after the wavelet transform features, based on a modified SPIHT algorithm. Due to the low frequency coefficient images occupy more than 90 percent of energy in image reconstruction is very important, so these factors do not directly transfer compression　The most high-frequency coefficient is relatively unimportant, so no treatment, only when the image reconstruction be designated numerical reconstruction therefore not only improve the image quality, while improving the image compression ratio. algorithms in specific, the proposed block-tree structure, the algorithm to reduce memory requirements and broaden the scope of application of the algorithm.