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Joint Image and Depth Estimation with Mask-Based Lensless Cameras [article]

Yucheng Zheng, M. Salman Asif
2020 arXiv   pre-print
Mask-based lensless cameras replace the lens of a conventional camera with a custom mask. These cameras can potentially be very thin and even flexible.  ...  Recently, it has been demonstrated that such mask-based cameras can recover light intensity and depth information of a scene.  ...  Joint Image and Depth Estimation with Mask-Based Lensless Cameras Yucheng Zheng and M. Salman Asif Abstract-Mask-based lensless cameras replace the lens of a conventional camera with a custom mask.  ... 
arXiv:1910.02526v2 fatcat:vemzmmxjefbpbdz3anqmi65rza

Toward Depth Estimation Using Mask-Based Lensless Cameras [article]

M. Salman Asif
2017 arXiv   pre-print
Recently, coded masks have been used to demonstrate a thin form-factor lensless camera, FlatCam, in which a mask is placed immediately on top of a bare image sensor.  ...  We present a greedy depth pursuit algorithm to search the 3D volume and estimate the depth and intensity of each pixel within the camera field-of-view.  ...  . : 3D imaging with a mask-based lensless camera that consists of a bare sensor with a fixed, binary mask on top of it.  ... 
arXiv:1711.03527v1 fatcat:v5ajeicebzebpi5zsvr5xtdiz4

A Simple Framework for 3D Lensless Imaging with Programmable Masks [article]

Yucheng Zheng, Yi Hua, Aswin C. Sankaranarayanan, M. Salman Asif
2021 arXiv   pre-print
Second, we consider the mask design problem, for programmable lensless cameras, and provide a design template for optimizing the mask patterns with the goal of improving depth estimation.  ...  Lensless cameras provide a framework to build thin imaging systems by replacing the lens in a conventional camera with an amplitude or phase mask near the sensor.  ...  This work was partially supported by the NSF grants CCF-2046293, CCF-1652569, and IIS-1730147 and the ONR grant N00014-19-1-2264.  ... 
arXiv:2108.07966v1 fatcat:gb7jkwgesrblfaekmfptf6qp5m

Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography [article]

Joshua D. Rego, Huaijin Chen, Shuai Li, Jinwei Gu, Suren Jayasuriya
2021 arXiv   pre-print
They can capture an infinite depth-of-field and offer greater freedom from optical distortion over their lens-based counterparts.  ...  The lensless pinhole camera is perhaps the earliest and simplest form of an imaging system using only a pinhole-sized aperture in place of a lens.  ...  In Figure 7 , we compare the results from our proposed lensless system (DCO) with a phase mask-based lensless imaging system, DiffuserCam [44] .  ... 
arXiv:2108.05563v1 fatcat:qpovv4ikijd3vls7tvy4cwcble

2019 Index IEEE Transactions on Computational Imaging Vol. 5

2019 IEEE Transactions on Computational Imaging  
High-Resolution Image and Depth Map Using a Camera Array With Mixed Focal Lengths.  ...  ., TCI June 2019 274-286 PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior. Song, T., +, TCI Dec. 2019 530-539 Scene Estimation From a Swiped Image.  ...  Surgery Multiresolution Cube Propagation for 3-D Ultrasound Image Reconstruction. Dong  ... 
doi:10.1109/tci.2019.2959176 fatcat:g7nuyesverg2xbjwbzuyp6ovyy

Power-Balanced Hybrid Optics Boosted Design for Achromatic Extended-Depth-of-Field Imaging via Optimized Mixed OTF [article]

Seyyed Reza Miri Rostami, Samuel Pinilla, Igor Shevkunov, Vladimir Katkovnik, Karen Egiazarian
2021 arXiv   pre-print
The power-balanced hybrid optical imaging system is a special design of a diffractive computational camera, introduced in this paper, with image formation by a refractive lens and Multilevel Phase Mask  ...  To optimize optical power-balance as well as the MPM, we build a fully-differentiable image formation model for joint optimization of optical and imaging parameters for the proposed camera using Neural  ...  This work is supported by the CIWIL project funded by Jane and Aatos Erkko Foundation, Finland. Disclosures. The authors declare no conflicts of interest. Supplemental document.  ... 
arXiv:2103.05720v2 fatcat:2a3aiwcetnbyzlpo5ufxkemtay

In vivo fluorescence imaging with a flat, lensless microscope [article]

Jesse K Adams, Vivek Boominathan, Sibo Gao, Alex V Rodriguez, Dong Yan, Caleb Kemere, Ashok Veeraraghavan, Jacob T Robinson
2020 bioRxiv   pre-print
Here, we show that in vivo fluorescence imaging is possible with a thin lensless microscope by optimizing the phase mask and computational reconstruction algorithms, and integrating fiber optic illumination  ...  While lensless imaging has the potential to achieve both high spatial resolution and large FOV with a thin lightweight device, lensless imaging has yet to be achieved in vivo due to two principal challenges  ...  Competing interests: JKA, AV, and JTR are co-founders of Flatcam LLC which is working to commercialize lensless imaging technologies.  ... 
doi:10.1101/2020.06.04.135236 fatcat:v3xkk3xa5jesrkqrpzqhetdgbq

Extended DoF and achromatic inverse imaging for lens and lensless MPM camera based on Wiener filtering of defocused OTFs

Seyyed R. M. Rostami, Vladimir Katkovnik, Karen Egiazarian
2021 Optical Engineering: The Journal of SPIE  
The performance of this new inverse imaging is demonstrated for optical setups with lens and lensless with a multilevel phase mask instead of the lens.  ...  Optimal optical transfer function (OTF) is proposed for RGB inverse imaging with extended depth of field (DoF) and diminished color aberrations.  ...  Acknowledgments This research was supported by Jane and Aatos Erkko Foundation, Finland, and Finland Centennial Foundation: Computational Imaging without Lens (CIWIL) project.  ... 
doi:10.1117/1.oe.60.5.051204 fatcat:42rysqferrch7dmcudf2uah4dm

Front Matter: Volume 11187

Qionghai Dai, Tsutomu Shimura, Zhenrong Zheng
2019 Optoelectronic Imaging and Multimedia Technology VI  
-3 Lensless wide-field imaging and depth sensing through a turbid scattering layer by round-trip field estimation 11187 0G Single-pixel depth imaging COMPUTATIONAL ACQUISITION AND ANALYSIS I 0I  ...  Realizing high angular resolution multi-view and light-field displays with multi-projection technique 11187 04 Monocular depth estimation based on unsupervised learning 11187 05 A learning-based method  ... 
doi:10.1117/12.2563101 fatcat:zsy4ucxvlfd4hjepdpolsjfeya

FourierNets enable the design of highly non-local optical encoders for computational imaging [article]

Diptodip Deb, Zhenfei Jiao, Ruth Sims, Alex B. Chen, Michael Broxton, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga
2022 arXiv   pre-print
This has enabled imaging applications such as 3D localization microscopy, depth estimation, and lensless photography via the optimization of local optical encoders.  ...  Differentiable simulations of optical systems can be combined with deep learning-based reconstruction networks to enable high performance computational imaging via end-to-end (E2E) optimization of both  ...  We also thank Huazhong University of Science and Technology and the China Scholarship Council for supporting the work of Zhenfei Jiao.  ... 
arXiv:2104.10611v5 fatcat:bt42wwn7f5a7peupledfdowwnm

2020 Index IEEE Transactions on Computational Imaging Vol. 6

2020 IEEE Transactions on Computational Imaging  
., +, TCI 2020 1033-1043 Joint Image and Depth Estimation With Mask-Based Lensless Cameras.  ...  ., +, TCI 2020 1571-1585 Joint Image and Depth Estimation With Mask-Based Lensless Cameras. Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models.  ... 
doi:10.1109/tci.2021.3054596 fatcat:puij7ztll5ai7alxrmqzsupcny

2020 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 42

2021 IEEE Transactions on Pattern Analysis and Machine Intelligence  
., and Nishino, K., Recognizing Material Properties from Images; 1981-1995 Sebe, N., see Pilzer, A., 2380-2395 Seddik, M., see Tamaazousti, Y., 2212-2224 Shah, M., see Kalayeh, M.M., TPAMI June 2020  ...  Joint Frontalization and Hallucination of Unaligned Tiny Faces. Yu, X., +, TPAMI Sept. 2020 2148-2164 CMOS image sensors PhlatCam: Designed Phase-Mask Based Thin Lensless Camera.  ...  ., +, TPAMI Oct. 2020 2346-2360 SurfelMeshing: Online Surfel-Based Mesh Reconstruction. Schops, T., +, TPAMI Oct. 2020 2494-2507 SweepCam -Depth-Aware Lensless Imaging Using Programmable Masks.  ... 
doi:10.1109/tpami.2020.3036557 fatcat:3j6s2l53x5eqxnlsptsgbjeebe

2021 Index IEEE Transactions on Computational Imaging Vol. 7

2021 IEEE Transactions on Computational Imaging  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, and inclusive pagination.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TCI 2021 1031-1043 Estimation theory Self-Supervised Learning of Monocular Depth Estimation Based on Pro-gressive Strategy.  ... 
doi:10.1109/tci.2022.3151176 fatcat:slyirmc7c5egfjjjyfswassh24

Ultra-fast Lensless Computational Imaging through 5D Frequency Analysis of Time-resolved Light Transport

Di Wu, Gordon Wetzstein, Christopher Barsi, Thomas Willwacher, Qionghai Dai, Ramesh Raskar
2013 International Journal of Computer Vision  
Using this analysis, we derive analytic expressions for information transfer between these dimensions and show how this transfer can be exploited for designing a new lensless imaging system.  ...  Frequency analyses often provide intuition regarding effects introduced by light propagation and interaction with optical elements; such analyses encourage optimal designs of computational cameras that  ...  -Based on this analysis, we introduce a novel, lensless camera.  ... 
doi:10.1007/s11263-013-0686-0 fatcat:j5hegkcj35gyjoyhpdjjzypexq

Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging

Ilya Chugunov, Seung-Hwan Baek, Qiang Fu, Wolfgang Heidrich, Felix Heide
2021 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
We test the effectiveness of Mask-ToF on a simulated light field dataset and validate the method with an experimental prototype.  ...  This light mixes at a sensor pixel to produce erroneous depth estimates, which can adversely affect downstream 3D vision tasks.  ...  This work was supported in part by KAUST baseline funding, Felix Heide's NSF CAREER Award (2047359) and Sony Faculty Innovation Award, and Ilya Chugunov's NSF Graduate Research Fellowship.  ... 
doi:10.1109/cvpr46437.2021.00900 fatcat:tv5b3rskcrdrzcsjpvysujooqa
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