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Optimization of imaging processes by use of designed experiments and quality loss functions

机译:通过使用设计的实验和质量损失函数来优化成像过程

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摘要

Imaging systems are always multivariate, typically involving response functions which relate lightness and intensities, and sometimes even families of functions, that must be optimized to produce the best possible images. A perferred method for minimizing the work involved in empirically optimizing a product or process is that of "designed experimentation".
机译:成像系统总是多变量的,通常涉及涉及亮度和强度的响应函数,有时甚至包括函数族,必须对其进行优化以产生最佳的图像。用于最小化根据经验优化产品或过程的工作的最佳方法是“设计实验”。

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