计算机科学
计算机视觉
像素
人工智能
噪音(视频)
图像质量
探测器
奈奎斯特频率
光学
傅里叶变换
欠采样
采样(信号处理)
压缩传感
物理
图像(数学)
滤波器(信号处理)
量子力学
作者
Zibang Zhang,Xiao Ma,Jingang Zhong
摘要
Single-pixel imaging techniques enable to capture a scene without a direct line of sight to the object, but high-quality imaging has been proven challenging especially in the presence of noisy environmental illumination. Here we present a single-pixel imaging technique that can achieve high-quality images by acquiring their Fourier spectrum. We use phase-shifting sinusoid structured illumination for the spectrum acquisition. Applying inverse Fourier transform to the obtained spectrum yields the desired image. The proposed technique is capable of capturing a scene without a direct view of it. Thus, it enables a feasible placement of detectors, only if the detectors can collect the light signals from the scene. The technique is also a compressive sampling like approach, so it can reconstruct an image from sub-Nyquist measurements. We experimentally obtain clear images by utilizing a detector not placed in direct view of the imaged scene even with noise introduced by environmental illuminations.
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