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<h2>Phase Mask Design for Lensless Cameras</h2>
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Lensless cameras are a novel class of computational imaging devices, in which the lenses are replaced with a thin mask with 2D point spread functions (PSFs) to achieve ultra-compact and low-cost hardware. However, the high costs and limited scalability with conventional fabrication methods are not ideal for mass production of designed lensless cameras. We propose a method for high-throughput fabrication of lensless cameras designed with arbitrary PSFs for various imaging tasks. The workflow of our method includes designing the smooth phase mask profiles for a given PSF pattern and then fabricating the mask in a single shot via the gray-scale lithography technique. We have shown that our method can be used for a flexible production of custom lensless cameras with various pre-designed PSFs and effectively obtain images of the scene via computational image reconstruction. We demonstrate the potential applications of our custom lensless cameras, including the deployment of the learned reconstruction networks for fast imaging and fingerprint detection via optical template matching. Our work provides for the first time a programmable and high-throughput way to construct lensless cameras with custom phase masks by combining a phase-retrieval-based design algorithm and the single-shot grayscale lithography. The experimental results shown in our work demonstrate a solid potential for manufacturing and deploying compact lensless cameras for diverse real-world imaging applications.
Lensless cameras are a novel class of computational imaging devices, in which the lenses are replaced with a thin mask with 2D point spread functions (PSFs) to achieve ultra-compact and low-cost hardware. However, the high costs and limited scalability with conventional fabrication methods are not ideal for mass production of designed lensless cameras. We propose a method for high-throughput fabrication of lensless cameras designed with arbitrary PSFs for various imaging tasks. The workflow of our method includes designing the smooth phase mask profiles for a given PSF pattern and then fabricating the mask in a single shot via the gray-scale lithography technique. We have shown that our method can be used for a flexible production of custom lensless cameras with various pre-designed PSFs and effectively obtain images of the scene via computational image reconstruction. We demonstrate the potential applications of our custom lensless cameras, including the deployment of the learned reconstruction networks for fast imaging and fingerprint detection via optical template matching. The experimental results shown in our work demonstrate a solid potential for manufacturing and deploying compact lensless cameras for diverse real-world imaging applications.
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<h4>Relevant publications</h4>
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