Coded Illumination and Multiplexing for Lensless Imaging

Coded Illumination and Multiplexing for Lensless Imaging
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无透镜成像的编码照明和复用

DOI:
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发表时间:
2020
期刊:
IEEE International Conference on Acoustics, Speech, and Signal Processing
影响因子:
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通讯作者:
M. Salman Asif
M. Salman Asif
中科院分区:
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文献类型:
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作者:
Yucheng Zheng;Rongjia Zhang;M. Salman Asif

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基于面具的无镜头相机为传统相机提供了另一种选择。与传统相机相比,无镜头相机可以非常薄、灵活和轻巧。尽管有这些优点,但由于底层线性系统的病态,从无透镜相机恢复的图像质量往往很差。在本文中,我们提出了一种新的方法,通过将编码照明图案与基于掩模的无透镜成像相结合来解决病理性问题。我们假设物体被多个二值图案照亮,并且摄像机获取不同照明图案的图像序列。我们提出了一种低复杂度的递归算法,避免了存储所有图像或创建大型系统矩阵。我们给出了标准测试图像在各种极端条件下的仿真结果,并证明了在少量照明图案的情况下,图像质量得到了显著改善。
Mask-based lensless cameras offer an alternative option to conventional cameras. Compared to conventional cameras, lensless cameras can be extremely thin, flexible, and lightweight. Despite these advantages, the quality of images recovered from the lensless cameras is often poor because of the ill-conditioning of the underlying linear system. In this paper, we propose a new method to address the problem of illconditioning by combining coded illumination patterns with the mask-based lensless imaging. We assume that the object is illuminated with multiple binary patterns and the camera acquires a sequence of images for different illumination patterns. We propose a low-complexity, recursive algorithm that avoids storing all the images or creating a large system matrix. We present simulation results on standard test images under various extreme conditions and demonstrate that the quality of the image improves significantly with a small number of illumination patterns.
DOI: 10.1126/sciadv.1701548
发表时间: 2017-12
期刊: Science advances
影响因子: 13.6
作者:
Adams JK;Boominathan V;Avants BW;Vercosa DG;Ye F;Baraniuk RG;Robinson JT;Veeraraghavan A
通讯作者: Veeraraghavan A
DOI: 10.1529/biophysj.107.120345
发表时间: 2008-06-15
影响因子: 3.4
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通讯作者: Sedat, John W.