2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDIMT-CIF-2.1
Paper Title RESOLUTION IMPROVEMENT IN FZA LENS-LESS CAMERA BY SYNTHESIZING IMAGES CAPTURED WITH DIFFERENT MASK-SENSOR DISTANCES
Authors Xiao Chen, Tokyo Institute of Technology, Japan; Tomoya Nakamura, Osaka University, Japan; Xiuxi Pan, Tokyo Institute of Technology, Japan; Kazuyuki Tajima, Keita Yamaguchi, Takeshi Shimano, Hitachi, Ltd., Japan; Masahiro Yamaguchi, Tokyo Institute of Technology, Japan
SessionIMT-CIF-2: Computational Imaging 2
LocationArea I
Session Time:Wednesday, 22 September, 14:30 - 16:00
Presentation Time:Wednesday, 22 September, 14:30 - 16:00
Presentation Poster
Topic Computational Imaging Methods and Models: Coded Image Sensing
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Fresnel zone aperture (FZA) lens-less camera is a class of computational imaging system that employs an FZA as a coded mask instead of an optical lens. FZA lens-less camera can perform fast deconvolution reconstruction and realize the re-focusing function. However, the reconstruction image's spatial resolution is restricted by diffraction when using the conventional method derived from geometrical optics model. In a previous study, we quantitatively analyzed the diffraction propagation between mask and sensor then proposed a color-channel synthesis reconstruction method based on wave-optics theory. In this study, we proposed a novel image reconstruction method without distorting the color information, which comprehensively synthesizing two images captured with different mask-sensor distances to mitigate the diffraction influence and improve the image resolution. The numerical simulation and optical experiment results confirm that the proposed method can improve the spatial resolution to about two times than the conventional method based on the geometrical optics model.