Progressive compressive detection of large images with multi-scale deep learning reconstruction


  • Stern, A. Optical compression imaging (CRC Press, 2017).

    MATH Google Scholar

  • Donoho, D. Compressed detection. IEEE Trans. Inf. The theory 541289-1306 (2006).

    MathSciNet ArticleGoogle Scholar

  • Eldar, YC and Kutyniok, G. Compressed sensing: theory and applications (Cambridge University Press, 2013).

    MATH Google Scholar

  • Evladov, S., Levi, O. & Stern, A. Progressive compression imaging from Radon projections. Opt. To express 204260–4271 (2012).

    Article on Google Scholar Ads

  • Tacar, D. et al. A Novel Compressive Imaging Camera Architecture Using Optical Domain Compression (International Society of Optics and Photonics, 2006).

    Book Google Scholar

  • Agaian, SS, Sarukhanyan, HG, Egiazarian, KO & Astola, J. Hadamard transforms 1–13 (SPIE Press, 2011).

    Book Google Scholar

  • Brady, DJ Optical imaging and spectroscopy 306–308 (Wiley, 2009).

    Book Google Scholar

  • Sun, MJ, Meng, LT, Edgar, MP, Padgett, MJ & Radwell, N. A command of Hadamard Base Russian dolls for single pixel compressive imaging. Science. representing 73464–3466 (2017).

    Article on Google Scholar Ads

  • Zhou, C., Tian, ​​T., Gao, C., Gong, W., and Song, L. Multi-resolution progressive computational ghost imaging. J. Opt. 21055702 (2019).

    Article on Google Scholar Ads

  • Kulkarni, K., Lohit, S., Turaga, P., Kerviche, R. & Ashok, A. Reconnet: non-iterative reconstruction of images from measurements detected by compression. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2016).

  • Du, J. et al. Fully convolutional measurement network for compressive sensing image reconstruction. Neuroinformatics 328105-112 (2019).

    Google Scholar article

  • Mousavi, A., Dasarathy, G. & Baraniuk, RG Deepcodec: adaptive detection and recovery via deep convolution neural networks. http://arxiv.org/abs/1707.03386 (2017).

  • Xie, X. et al. Adaptive measurement network for cs image reconstruction. CCF China Computer Vision Conference (Springer, 2017).

  • Gedalin, D., Heiser, Y., Oiknine, Y. & Stern, A. On the robustness of compressive sensing hyperspectral image reconstruction using a convolutional neural network. in Artificial Intelligence and Machine Learning in Defense Applications Ser. 11169 (International Society of Optics and Photonics, 2019).

  • Heiser, Y., Oiknine, Y. & Stern, A. Reconstruction of compressive hyperspectral images with deep neural networks. in Big Data: learning, analysis and applications Ser. 10989 (International Society of Optics and Photonics, 2019).

  • Higham, CF, Murray-Smith, R., Padgett, MJ, and Edgar, MP Deep learning for real-time single-pixel video. Science. representing 82369 (2018).

    Article on Google Scholar Ads

  • Adler, A., Elad, M. & Zibulevsky, M. Compressed Learning: A Deep Neural Network Approach. http://arxiv.org/abs/1610.09615 (2016).

  • Kravets, V., Kondrashov, P. & Stern, A. Compressive ultraspectral imaging using multi-scale structured illumination. Appl. Opt. 58F32–F39 (2019).

    Google Scholar article

  • Soldevila, F. et al. Monopixel polarimetric imaging spectrometer by compressive detection. Appl. Phys. B 113551-558 (2013).

    ADS CAS Article Google Scholar

  • Sun, m. et al. Single-pixel, three-dimensional imaging with time-based depth resolution. Nat. Commmon. 712010 (2016).

    Article on Google Scholar Ads

  • McMackin, L., Herman, MA, Chatterjee, B. & Weldon, M. A high-resolution SWIR camera via compressed sensing. in Infrared technology and applications XXXVIII Ser. 8353 (International Society of Optics and Photonics, 2012).

  • Radwell, N. et al. Single pixel infrared and visible microscope. Optical 1285-289 (2014).

    ADS CAS Article Google Scholar

  • Huynh, N. et al. Single-pixel optical camera for video-rate ultrasound imaging. Optical 326-29 (2016).

    ADS CAS Article Google Scholar

  • Zhang, Z. et al. Simultaneous spatial, spectral, and 3D compressive imaging via efficient single-pixel Fourier measurements. Optical 5315–319 (2018).

    Article on Google Scholar Ads

  • Edgar, MP et al. Real-time simultaneous visible and infrared video with single pixel detectors. Science. representing 510669 (2015).

    Article on Google Scholar Ads

  • Becker, S., Bobin, J. & Candès, E. NESTA: A fast and accurate first-order method for parsimonious recovery. SIAM J. Imaging Sci. 41–39 (2011).

    MathSciNet ArticleGoogle Scholar

  • Zhang, J. & Ghanem, B. ISTA-Net: Deep Network Inspired Interpretable Optimization for Image Compression Detection. in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2018).

  • Shi, W., Jiang, F., Liu, S. & Zhao, D. Compressed Image Detection Using a Convolutional Neural Network. IEEE Trans. Image process. 29375–388 (2019).

    ADS MathSciNet Google Scholar Article

  • Kabkab, M., Samangouei, P. & Chellappa, R. Compressed task-aware sensing with generative adversarial networks. in Proceedings of the AAAI Conference on Artificial Intelligence Ser. 32 (2018).

  • Sun, Y., Chen, J., Liu, Q., and Liu, G. Learning Compressed Image Detection with a Subpixel Convolutional Generative Adversarial Network. Pattern recognition. 98107051 (2020).

    Google Scholar article

  • Deutsch, S., Averbush, A. & Dekel, S. Adaptive detection of compressed images based on wavelet modeling and direct sampling (SAMPTA’09, 2009).

    Google Scholar

  • Saragadam, V. & Sankaranarayanan, AC Wavelet tree analysis with free-form lens. in 2019 IEEE International Conference on Computational Photography (ICCP) (IEEE, 2019).

  • Kravets, V. & Stern, A. 3D compressive LIDAR imaging using a multiscale Hadamard base. in Acquisition and display of 3D images: technology, perception and applications (Optical Society of America, 2018).

  • Sher, Y., Cohen, L., Istrati, D. & Eisenberg, HS Low Intensity LiDAR Using Compressed Detection and Photon Count Resolving Detector. in Emerging systems and applications based on X Ser digital micromirror devices. 10546 (International Society of Optics and Photonics, 2018).

  • Xu, C. et al. Super-resolution compressive spectral imaging via adaptive bi-tone coding. Photon. Res. 8395–411 (2020).

    Google Scholar article

  • Wang, X., Zhang, Y., Ma, X., Xu, T. & Arce, GR Compressive spectral imaging system based on a liquid crystal tunable filter. Opt. To express 2625226–25243 (2018).

    Article on Google Scholar Ads

  • August, I., Oiknine, Y., AbuLeil, M., Abdulhalim, I. & Stern, A. Miniature compressive ultra-spectral imaging system using a single liquid crystal phase retarder. Science. representing 623524 (2016).

    ADS CAS Article Google Scholar

  • Sun, T. and Kelly, K. Compression Sensing Hyperspectral Imager (Optical Society of America, 2009).

    Book Google Scholar

  • Foucart, S. & Rauhut, H. A mathematical introduction to compressive sensing 372–383 (Birkhäuser, 2013).

    Book Google Scholar

  • Lee, M. & Kaveh, M. Fast Hadamard transform based on simple matrix factorization. IEEE Trans. Acoustic. Voice signal process. 341666-1667 (1986).

    Google Scholar article

  • Pratt, WK, Kane, J. & Andrews, HC Hadamard transform image coding. IEEE procedure 5758–68 (1969).

    Google Scholar article

  • Rivenson, Y., Stern, A. & Javidi, B. Compressive Fresnel Holography. J. Display Technology. 6506-509 (2010).

    Article on Google Scholar Ads

  • Wang, Z. & Arce, GR Sampling variable-density compressed images. IEEE Trans. Image process. 19264-270 (2010).

    ADS MathSciNet Google Scholar Article

  • Sankaranarayanan, AC, Herman, MA, Turaga, P. & Kelly, KF Enhanced Compressive Imaging Using Model-Based Acquisition: Smarter Sampling by Incorporating Domain Knowledge. IEEE signal process. Mag. 3381–94 (2016).

    Article on Google Scholar Ads

  • Gopalsami, N. et al. Passive millimeter wave imaging with compressive sensing. Opt. Eng. 51091614 (2012).

    Article on Google Scholar Ads

  • Babacan, SD et al. Passive compressive millimeter wave imaging. in 2011 18th IEEE International Conference on Image Processing (IEEE, 2011).

  • Previous Images of the PSG x Air Jordan 5 Low have emerged
    Next Duns MX Report, Results & Pictures - British Sidecarcross Championship