A single-pixel imaging (SPI) system is often applied to a specific scenario. The target object images may belong to a specific category and have some common features. Fourier or Hadamard illumination patterns can be sub-optimal since they are fixed and non-adaptive. We propose a novel scheme for designing and optimizing the illumination patterns adaptively from an image dictionary by extracting the common features using principal component analysis (PCA), with enhanced imaging efficiency.

中文翻译：

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使用图像字典设计单像素成像中的最佳照明模式

单像素成像 (SPI) 系统通常应用于特定场景。目标对象图像可能属于特定类别并具有一些共同特征。傅立叶或哈达玛照明模式可能不是最佳的，因为它们是固定的和非自适应的。我们提出了一种新颖的方案，通过使用主成分分析（PCA）提取共同特征，从图像字典中自适应地设计和优化照明模式，并提高了成像效率。