The coded-aperture imaging technique needs only a thin coded mask to encode image, which enable to build an ultra-thin imaging system. However, the limited dynamic range of the image sensor and the diffraction effect degrades the reconstructed images quality. Here, we proposed an integrated ultra-thin coded aperture lensless camera. We take Fresnel zone plates as coded mask, then the incident light could be encoded into a hologram-like pattern, and the image can be holographic reconstruction. A deep neural network is also trained for rapid and high-quality reconstruction. To improve the dynamic range, differential-enhancement method is used by capture two complementary encoding images. The proposed integrated ultra-thin camera is expected to be applied in unconscious payment, identification and authentication, autonomous cars, etc.
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