当眼睛停工了，次优的获得相同信息的方法就产生作用了。
When the eyes shut down, the next best way of getting the same information springs into action.
利用传统的决策树方法，无法确定一个次优方案，对所有方案进行排序也很难。
It is difficult to use the decision tree method to find the sub-optimal solution, not to mention the alternative ranking.
本文介绍了一种实际散斑模式的数学模型和噪声统计模型，并提出了一种针对这种模型的自适应次优滤波方法。
A statistical noise model and a mathematical model for real speckle pattern are presented, and then, in view of the models, a new adaptive suboptimal image filtering approach is proposed.
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