目的

  1. 掌握压缩图像的保真度计算
  2. 掌握图像的信息熵计算

内容

  1. 图像保真度评价标准
    1. 写一个程序,计算压缩图像的均方根误差<<latex: execution failed [Missing parentheses in call to 'print'. Did you mean print(...)?] (see also the log)>>和均方信噪比 <<latex: execution failed [Missing parentheses in call to 'print'. Did you mean print(...)?] (see also the log)>> eq819.png

    2. 下载图片 fig8.4a.jpg ,写一个程序将这个图像量化到16级灰度,生成类似如图
      fig8.4.jpg
      中(b)所示效果。用前面的程序计算图像的失真,并解释。

  2. 图像的熵(Entropy)
    1. 写一个程序计算图像的信息熵。<<latex: execution failed [Missing parentheses in call to 'print'. Did you mean print(...)?] (see also the log)>>,其中Pi为各个像素级的概率,它等于各个像素级的像素个数除以图像像素总数。

    2. 下载图片 fig8.14a.jpgfig8.14b.tif ,使用上面的程序来计算它们的熵。解释这个结果。

图像压缩实验 (2008-05-28 18:24:17由218编辑)

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