It not only has an eye-catching ultra-thin body, but also can achieve a variety of functions such as 3D imaging, 3D fluorescence microscopy. proposed the FlatCam lensless camera that only contains an amplitude mask in front of the CMOS sensor. In the past few years, various miniaturized lensless imaging systems have been proposed. Although it complicates the imaging process, the weight and volume of the imaging system are greatly reduced. Unlike traditional optical imaging based on refractive lens, computational imaging system does not directly realize the point-to-point mapping from the object to the image, but makes a kind of coding for the object, and then restores the image from the encoded pattern. IntroductionĬomputational imaging has developed rapidly in recent years. © 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement 1. Both experimental results demonstrate that our method achieves superior performance against the existing state-of-the-art methods. We detailed the solution for the general inverse problem and conducted five groups of deblurring experiments as examples. In addition, our method is universal in non-blind restoration. The convergence is proven mathematically and verified in the results. Our network combines analytic updates with a deep denoiser prior to progressively improve lensless image quality over a few iterations.
In this work, we proposed a deep analytic network by imitating the traditional optimization process as an end-to-end network. However, the visual perception of the restored images is poor due to the ill conditioned nature of the system. Mask based lensless imagers have huge application prospects due to their ultra-thin body.
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