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在进入下一节之前，矩阵的量化还有最后一步要做，就是把量化后的二维矩阵转变成一个一维数组，以方便后面的霍夫曼压缩，但在做这个顺序转换时，需要按照一个特定的取值顺序。")],-1),m("figure",null,[m("img",{src:t,alt:"",tabindex:"0",loading:"lazy"}),m("figcaption")],-1),m("p",null,[l("这么做的目的只有一个，就是尽可能把0放在一起，由于0大部分集中在右下角，所以才用这种由左上角到右下角的顺序，经过这种顺序变换，最终矩阵变成一个整数数组"),m("br"),l(" -26,-3,0,-3,-2,-6,2,-4,1,-3,0,1,5,,1,2,-1,1,-1,2,0,0,0,0,0,-1,-1,0,0,0,0,…,0,0"),m("br"),l(" 后面的工作就是对这个数组进行再一次的哈夫曼压缩，已得到最终的压缩数据。")],-1)]))}const u=x(n,[["render",a],["__file","JPEG003.html.vue"]]),i=JSON.parse('{"path":"/blog/2025/02/JPEG003.html","title":"JPEG算法解密（三）","lang":"zh-CN","frontmatter":{"title":"JPEG算法解密（三）","tags":"压缩 图像 程序 算法"},"headers":[{"level":3,"title":"步骤四：数据量化","slug":"步骤四-数据量化","link":"#步骤四-数据量化","children":[]}],"git":{"updatedTime":1740225290000,"contributors":[{"name":"thejinchao","username":"thejinchao","email":"thejinchao@gmail.com","commits":1,"url":"https://github.com/thejinchao"}]},"filePathRelative":"blog/2025/02/JPEG003.md"}');export{u as comp,i as data};