Based on the analysis of image wavelet transformation and the space / frequency distributing characteristics of different subbands " coefficients , this dissertation fully exploits the following theories and methods : scalar quantization , vector quantization , trellis coded quantization , trellis coded vector quantization , vector classification , codebook expansion and weighted mean square error rule basing mankind visual characteristics , etc . from different angles of information amalgamation , it develops several innovative algorithms of image compression and coding , gives their realization schemes , and makes plentiful simulation tests 本文在分析了圖像小波變換的原理和子帶系數(shù)空間及頻率分布特點(diǎn)的基礎(chǔ)上,充分利用標(biāo)量量化、矢量量化、網(wǎng)格編碼量化、網(wǎng)格編碼矢量量化、矢量分類、碼書擴(kuò)展和基于人眼視覺特性的加權(quán)均方誤差準(zhǔn)則等思想和方法,從信息融合的不同角度展開了對(duì)小波圖像的壓縮編碼研究,同時(shí)也討論了這些方法在靜止圖像量化中的具體應(yīng)用。