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Journal articles on the topic 'Coded Aperture Imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

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1

Yurduseven, Okan, Muhammad Ali Babar Abbasi, Thomas Fromenteze, and Vincent Fusco. "Lens-Loaded Coded Aperture with Increased Information Capacity for Computational Microwave Imaging." Remote Sensing 12, no. 9 (May 11, 2020): 1531. http://dx.doi.org/10.3390/rs12091531.

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Computational imaging using coded apertures offers all-electronic operation with a substantially reduced hardware complexity for data acquisition. At the core of this technique is the single-pixel coded aperture modality, which produces spatio-temporarily varying, quasi-random bases to encode the back-scattered radar data replacing the conventional pixel-by-pixel raster scanning requirement of conventional imaging techniques. For a frequency-diverse computational imaging radar, the coded aperture is of significant importance, governing key imaging metrics such as the orthogonality of the information encoded from the scene as the frequency is swept, and hence the conditioning of the imaging problem, directly impacting the fidelity of the reconstructed images. In this paper, we present dielectric lens loading of coded apertures as an effective way to increase the information coding capacity of frequency-diverse antennas for computational imaging problems. We show that by lens loading the coded aperture for the presented imaging problem, the number of effective measurement modes can be increased by 32% while the conditioning of the imaging problem is improved by a factor of greater than two times.

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2

Diaz, Nelson Eduardo, Hoover Fabian Rueda Chacon, and Henry Arguello Fuentes. "High-dynamic range compressive spectral imaging by grayscale coded aperture adaptive filtering." Ingeniería e Investigación 35, no. 3 (December 14, 2015): 53–60. http://dx.doi.org/10.15446/ing.investig.v35n3.49868.

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<p class="p1">The coded aperture snapshot spectral imaging system (CASSI) is an imaging architecture which senses the three dimensional informa-tion of a scene with two dimensional (2D) focal plane array (FPA) coded projection measurements. A reconstruction algorithm takes advantage of the compressive measurements sparsity to recover the underlying 3D data cube. Traditionally, CASSI uses block-un-block coded apertures (BCA) to spatially modulate the light. In CASSI the quality of the reconstructed images depends on the design of these coded apertures and the FPA dynamic range. This work presents a new CASSI architecture based on grayscaled coded apertu-res (GCA) which reduce the FPA saturation and increase the dynamic range of the reconstructed images. The set of GCA is calculated in a real-time adaptive manner exploiting the information from the FPA compressive measurements. Extensive simulations show the attained improvement in the quality of the reconstructed images when GCA are employed. In addition, a comparison between traditional coded apertures and GCA is realized with respect to noise tolerance.</p>

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3

Llull, Patrick, Xuejun Liao, Xin Yuan, Jianbo Yang, David Kittle, Lawrence Carin, Guillermo Sapiro, and David J. Brady. "Coded aperture compressive temporal imaging." Optics Express 21, no. 9 (April 23, 2013): 10526. http://dx.doi.org/10.1364/oe.21.010526.

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4

Wang, Xuehui, Feng Dai, Yike Ma, Ke Gao, and Yong Dong Zhang. "Scene-adaptive coded aperture imaging." Multimedia Tools and Applications 78, no. 1 (December 21, 2017): 697–711. http://dx.doi.org/10.1007/s11042-017-5520-1.

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5

Chen, Zeyu, Chunmin Zhang, Tingkui Mu, Yanqiang Wang, Yifan He, Tingyu Yan, and Zhengyi Chen. "Coded aperture full-stokes imaging spectropolarimeter." Optics & Laser Technology 150 (June 2022): 107946. http://dx.doi.org/10.1016/j.optlastec.2022.107946.

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6

Chi, Wanli, and Nicholas George. "Optical imaging with phase-coded aperture." Optics Express 19, no. 5 (February 18, 2011): 4294. http://dx.doi.org/10.1364/oe.19.004294.

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7

Chi, Wanli, and Nicholas George. "Phase-coded aperture for optical imaging." Optics Communications 282, no. 11 (June 2009): 2110–17. http://dx.doi.org/10.1016/j.optcom.2009.02.031.

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8

Shutler, Paul M. E., Stuart V. Springham, and Alireza Talebitaher. "Periodic wrappings in coded aperture imaging." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 738 (February 2014): 132–48. http://dx.doi.org/10.1016/j.nima.2013.11.068.

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9

Busboom, Axel, Hans Dieter Schotten, and Harald Elders-Boll. "Coded aperture imaging with multiple measurements." Journal of the Optical Society of America A 14, no. 5 (May 1, 1997): 1058. http://dx.doi.org/10.1364/josaa.14.001058.

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10

Tobin, K. W., and J. S. Brenizer. "39637 Coded aperture imaging with neutrons." NDT International 22, no. 4 (August 1989): 241. http://dx.doi.org/10.1016/0308-9126(89)91018-3.

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11

Byard, Kevin. "An optimised coded aperture imaging system." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 313, no. 1-2 (March 1992): 283–89. http://dx.doi.org/10.1016/0168-9002(92)90107-f.

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12

Horisaki, Ryoichi, Yuka Okamoto, and Jun Tanida. "Deeply coded aperture for lensless imaging." Optics Letters 45, no. 11 (May 29, 2020): 3131. http://dx.doi.org/10.1364/ol.390810.

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13

Tsai, Tsung-Han, and David J. Brady. "Coded aperture snapshot spectral polarization imaging." Applied Optics 52, no. 10 (March 29, 2013): 2153. http://dx.doi.org/10.1364/ao.52.002153.

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14

Liu, Xingyue, Chenggao Luo, Fengjiao Gan, Hongqiang Wang, Long Peng, and Yu Wang. "Antenna Phase Error Compensation for Terahertz Coded-Aperture Imaging." Electronics 9, no. 4 (April 10, 2020): 628. http://dx.doi.org/10.3390/electronics9040628.

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Coded-aperture antenna plays an important role in terahertz coded-aperture imaging radar system. However, the performance of a system is inevitably affected by the phase errors introduced by the coded-aperture antenna elements. In this paper, we propose a phase error compensation method by deducing a formula to compute all element phase errors accurately. According to the formula, the phase errors can be calibrated by using a calibrator and can be used to compensate the imaging model of the system. Numerical simulations demonstrate that the proposed method can effectively improve the imaging quality when the elemental phase error exceeds 10 ∘ .

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15

Wang, Jianwei, and Yan Zhao. "SNR of the coded aperture imaging system." Optical Review 28, no. 1 (January 18, 2021): 106–12. http://dx.doi.org/10.1007/s10043-020-00639-z.

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AbstractIn this paper, the expression for the SNR has been developed through the imaging model. It is concluded that the image SNR decreases with the increase of the number of light-emitting points of the target under the same hardware conditions and experimental parameters. Using uniform bright squares of different sizes as the target, the SNR of the reconstructed image is calculated. Simulation and prototype experiments have proved the correctness of the conclusion. Based on this conclusion, a method of segmented area imaging is proposed to improve the reconstructed image quality. The quality of all the images using this method with Wiener inverse filtering, R-Lucy deconvolution, and ADMM is better than the image quality obtained by full-area imaging.

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16

Chou, C. "Fourier coded-aperture imaging in nuclear medicine." IEE Proceedings - Science, Measurement and Technology 141, no. 3 (May 1, 1994): 179–84. http://dx.doi.org/10.1049/ip-smt:19949767.

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17

Nugent, Keith A. "Coded aperture imaging: a Fourier space analysis." Applied Optics 26, no. 3 (February 1, 1987): 563. http://dx.doi.org/10.1364/ao.26.000563.

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18

Furxhi, Orges. "Image plane coded aperture for terahertz imaging." Optical Engineering 51, no. 9 (June 15, 2012): 091612. http://dx.doi.org/10.1117/1.oe.51.9.091612.

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19

Ching, Daniel, Selin Aslan, Viktor Nikitin, and Doğa Gürsoy. "Time-coded aperture for x-ray imaging." Optics Letters 44, no. 11 (May 28, 2019): 2803. http://dx.doi.org/10.1364/ol.44.002803.

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20

Don, Michael L., Chen Fu, and Gonzalo R. Arce. "Compressive imaging via a rotating coded aperture." Applied Optics 56, no. 3 (December 1, 2016): B142. http://dx.doi.org/10.1364/ao.56.00b142.

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21

Fu, Chen, Michael L. Don, and Gonzalo R. Arce. "Compressive Spectral Imaging via Polar Coded Aperture." IEEE Transactions on Computational Imaging 3, no. 3 (September 2017): 408–20. http://dx.doi.org/10.1109/tci.2016.2617740.

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22

Arce, Gonzalo R., David J. Brady, Lawrence Carin, Henry Arguello, and David S. Kittle. "Compressive Coded Aperture Spectral Imaging: An Introduction." IEEE Signal Processing Magazine 31, no. 1 (January 2014): 105–15. http://dx.doi.org/10.1109/msp.2013.2278763.

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23

Fleenor, Matthew C., Matthew A. Blackston, and Klaus P. Ziock. "Correlated statistical uncertainties in coded-aperture imaging." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 784 (June 2015): 370–76. http://dx.doi.org/10.1016/j.nima.2014.12.028.

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24

O'Donnell, M., and Yao Wang. "Coded excitation for synthetic aperture ultrasound imaging." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 52, no. 2 (February 2005): 171–76. http://dx.doi.org/10.1109/tuffc.2005.1406544.

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25

Braga, João. "Coded Aperture Imaging in High-energy Astrophysics." Publications of the Astronomical Society of the Pacific 132, no. 1007 (December 18, 2019): 012001. http://dx.doi.org/10.1088/1538-3873/ab450a.

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26

Haboub, A., A. A. MacDowell, S. Marchesini, and D. Y. Parkinson. "Coded aperture imaging for fluorescent x-rays." Review of Scientific Instruments 85, no. 6 (June 2014): 063704. http://dx.doi.org/10.1063/1.4882337.

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27

Chen, Zeyu, Chunmin Zhang, Tingkui Mu, Tingyu Yan, Donghao Bao, Zhengyi Chen, and Yifan He. "Coded aperture snapshot linear-Stokes imaging spectropolarimeter." Optics Communications 450 (November 2019): 72–77. http://dx.doi.org/10.1016/j.optcom.2019.05.056.

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28

Ding, Jie, Mohammad Noshad, and Vahid Tarokh. "Complementary lattice arrays for coded aperture imaging." Journal of the Optical Society of America A 33, no. 5 (April 15, 2016): 863. http://dx.doi.org/10.1364/josaa.33.000863.

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29

Wu, Jiamin, Xing Lin, Yebin Liu, Jinli Suo, and Qionghai Dai. "Coded aperture pair for quantitative phase imaging." Optics Letters 39, no. 19 (October 1, 2014): 5776. http://dx.doi.org/10.1364/ol.39.005776.

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30

Slinger, Chris, Helen Bennett, Gavin Dyer, Neil Gordon, David Huckridge, Mark McNie, Richard Penney, et al. "Adaptive coded-aperture imaging with subpixel superresolution." Optics Letters 37, no. 5 (February 23, 2012): 854. http://dx.doi.org/10.1364/ol.37.000854.

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31

Byard, K., and D. Ramsden. "Coded aperture imaging using imperfect detector systems." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 342, no. 2-3 (March 1994): 600–608. http://dx.doi.org/10.1016/0168-9002(94)90292-5.

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32

Xie, Hui, Jun Lu, Jing Han, Yi Zhang, Fengchao Xiong, and Zhuang Zhao. "Fourier coded aperture transform hyperspectral imaging system." Optics and Lasers in Engineering 163 (April 2023): 107443. http://dx.doi.org/10.1016/j.optlaseng.2022.107443.

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33

Lou Jingtao, 娄静涛, 李永乐 Li Yongle, and 熊立夫 Xiong Lifu. "Catadioptric Omnidirectional Compressive Imaging Based on Coded Aperture." Acta Optica Sinica 36, no. 4 (2016): 0411004. http://dx.doi.org/10.3788/aos201636.0411004.

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34

Farber, Aaron M., and John G. Williams. "Coded-Aperture Compton Camera for Gamma-Ray Imaging." EPJ Web of Conferences 106 (2016): 05003. http://dx.doi.org/10.1051/epjconf/201610605003.

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35

Chou, Chien, and Hong-Jueng King. "Quantum Noise of Fourier-Coded Aperture Imaging System." Japanese Journal of Applied Physics 33, Part 1, No. 4A (April 15, 1994): 2072–78. http://dx.doi.org/10.1143/jjap.33.2072.

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36

Mahalanobis, Abhijit, Richard Shilling, Robert Muise, and Mark Neifeld. "High-resolution imaging using a translating coded aperture." Optical Engineering 56, no. 08 (August 22, 2017): 1. http://dx.doi.org/10.1117/1.oe.56.8.084106.

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37

Chen, Yueting, Chaoying Tang, Zhihai Xu, Qi Li, Min Cen, and Huajun Feng. "Adaptive reconstruction for coded aperture temporal compressive imaging." Applied Optics 56, no. 17 (June 6, 2017): 4940. http://dx.doi.org/10.1364/ao.56.004940.

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38

Galvis, Laura, Edson Mojica, Henry Arguello, and Gonzalo R. Arce. "Shifting colored coded aperture design for spectral imaging." Applied Optics 58, no. 7 (February 22, 2019): B28. http://dx.doi.org/10.1364/ao.58.000b28.

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39

Galvis, Laura, Henry Arguello, and Gonzalo R. Arce. "Coded aperture design in mismatched compressive spectral imaging." Applied Optics 54, no. 33 (November 17, 2015): 9875. http://dx.doi.org/10.1364/ao.54.009875.

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40

Shutler, Paul M. E., Alireza Talebitaher, and Stuart V. Springham. "Signal-to-noise ratio in coded aperture imaging." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 669 (March 2012): 22–31. http://dx.doi.org/10.1016/j.nima.2011.12.023.

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41

Talebitaher, Alireza, Paul M. E. Shutler, Stuart V. Springham, Rajdeep S. Rawat, and Paul Lee. "Coded aperture imaging of alpha source spatial distribution." Radiation Measurements 47, no. 10 (October 2012): 992–99. http://dx.doi.org/10.1016/j.radmeas.2012.07.016.

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42

Shutler, Paul M. E., Stuart V. Springham, and Alireza Talebitaher. "Mask design and fabrication in coded aperture imaging." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 709 (May 2013): 129–42. http://dx.doi.org/10.1016/j.nima.2013.01.032.

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43

Qian, Lu-lu, Qun-bo Lü, Min Huang, Qi-sheng Cai, and Bin Xiang-li. "Effect of keystone on coded aperture spectral imaging." Optik 127, no. 2 (January 2016): 686–89. http://dx.doi.org/10.1016/j.ijleo.2015.10.122.

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44

MacCabe, Kenneth, Kalyani Krishnamurthy, Amarpreet Chawla, Daniel Marks, Ehsan Samei, and David Brady. "Pencil beam coded aperture x-ray scatter imaging." Optics Express 20, no. 15 (July 3, 2012): 16310. http://dx.doi.org/10.1364/oe.20.016310.

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45

Horisaki, Ryoichi, Yusuke Ogura, Masahiko Aino, and Jun Tanida. "Single-shot phase imaging with a coded aperture." Optics Letters 39, no. 22 (November 11, 2014): 6466. http://dx.doi.org/10.1364/ol.39.006466.

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46

Zhan, Yapeng, Jiying Liu, Qi Yu, and Xintong Tan. "Synthetic coded aperture snapshot spectral imaging based on coprime sub-aperture sampling." Applied Optics 60, no. 30 (October 13, 2021): 9269. http://dx.doi.org/10.1364/ao.433934.

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47

Piper, Jonathan, Peter W. T. Yuen, and David James. "Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor." Signals 3, no. 4 (October 26, 2022): 752–64. http://dx.doi.org/10.3390/signals3040045.

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In recent years, a wide range of hyperspectral imaging systems using coded apertures have been proposed. Many implement compressive sensing to achieve faster acquisition of a hyperspectral data cube, but it is also potentially beneficial to use coded aperture imaging in sensors that capture full-rank (non-compressive) measurements. In this paper we analyse the signal-to-noise ratio for such a sensor, which uses a Hadamard code pattern of slits instead of the single slit of a typical pushbroom imaging spectrometer. We show that the coded slit sensor may have performance advantages in situations where the dominant noise sources do not depend on the signal level; but that where Shot noise dominates a conventional single-slit sensor would be more effective. These results may also have implications for the utility of compressive sensing systems.

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48

Zhu Dantong, 朱丹彤, 沈宏海 Shen Honghai, 杨名宇 Yang Mingyu, 陈成 Chen Cheng, and 南童凌 Nan Tongling. "Analysis and Correction of Coded Pixel Distortion in Coded Aperture Imaging Spectrometer." Laser & Optoelectronics Progress 55, no. 6 (2018): 061201. http://dx.doi.org/10.3788/lop55.061201.

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49

Pinilla, Samuel Eduardo, Héctor Miguel Vargas García, and Henry Arguello Fuentes. "Probability of correct reconstruction in compressive spectral imaging." Ingeniería e Investigación 36, no. 2 (August 24, 2016): 68. http://dx.doi.org/10.15446/ing.investig.v36n2.56426.

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Coded Aperture Snapshot Spectral Imaging (CASSI) systems capture the 3-dimensional (3D) spatio-spectral information of a scene using a set of 2-dimensional (2D) random coded Focal Plane Array (FPA) measurements. A compressed sensing reconstruction algorithm is then used to recover the underlying spatio-spectral 3D data cube. The quality of the reconstructed spectral images depends exclusively on the CASSI sensing matrix, which is determined by the statistical structure of the coded apertures. The Restricted Isometry Property (RIP) of the CASSI sensing matrix is used to determine the probability of correct image reconstruction and provides guidelines for the minimum number of FPA measurement shots needed for image reconstruction. Further, the RIP can be used to determine the optimal structure of the coded projections in CASSI. This article describes the CASSI optical architecture and develops the RIP for the sensing matrix in this system. Simulations show the higher quality of spectral image reconstructions when the RIP property is satisfied. Simulations also illustrate the higher performance of the optimal structured projections in CASSI.

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50

Peng, Long, Chenggao Luo, Bin Deng, Hongqiang Wang, Yuliang Qin, and Shuo Chen. "Phaseless Terahertz Coded-Aperture Imaging Based on Incoherent Detection." Sensors 19, no. 2 (January 9, 2019): 226. http://dx.doi.org/10.3390/s19020226.

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In this paper, we propose a phaseless terahertz coded-aperture imaging (PTCAI) method by using a single incoherent detector or an incoherent detection array. We at first analyze and model the system architecture, derive the matrix imaging equation, and then study the phase retrieval techniques to reconstruct the original target with high resolution. Numerical experiments are performed and the results show that the proposed method can significantly reduce the system complexity in the receiving process while maintaining high resolution imaging capability. Furthermore, the approach of using incoherent detection array instead of single detector is capable of decreasing the encoding and sampling times, and therefore helps to improve the imaging frame rate. In our future research, the method proposed in this paper will be experimentally tested and validated, and high-speed PTCAI at nearly real-time frame rates will be the main work.

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