Compressive adaptive computational ghost imaging

Abstract

Compressive sensing is considered a huge breakthrough in signal acquisition. It allows recording an image consisting of $N^2$ pixels using much fewer than $N^2$ measurements if it can be transformed to a basis where most pixels take on negligibly small values. Standard compressive sensing techniques suffer from the computational overhead needed to reconstruct an image with typical computation times between hours and days and are thus not optimal for applications in physics and spectroscopy. We demonstrate an adaptive compressive sampling technique that performs measurements directly in a sparse basis. It needs much fewer than $N^2$ measurements without any computational overhead, so the result is available instantly.

References in corpus (8)

• Compressive ghost imaging
• Two-photon "ghost" imaging with thermal light
• Ghost imaging with a single detector
• Incoherent Coincidence Imaging and Its Applicability in X-ray Diffraction
• Compressive Fluorescence Microscopy for Biological and Hyperspectral Imaging
• Computer-Generated Holographic Optical Tweezer Arrays
• Efficient measurement of quantum dynamics via compressive sensing
• Compressive adaptive computational ghost imaging

Cited by in corpus (21)

• Single-pixel 3D imaging with time-based depth resolution
• Experimental comparison of single-pixel imaging algorithms
• Compressive adaptive computational ghost imaging
• Full-Color Computational Imaging with Single-Pixel Detectors Based on a 2D Discrete Cosine Transform
• Intelligent Meta-Imagers: From Compressed to Learned Sensing
• Efficient single pixel imaging in Fourier space
• Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
• On Random-Matrix Bases, Ghost Imaging and X-ray Phase Contrast Computational Ghost Imaging
• Fourier single-pixel imaging in the terahertz regime
• Single-pixel imaging with Morlet wavelet correlated random patterns
• Self-evolving ghost imaging
• Anti-interference Computational Ghost Imaging with Pink Noise Speckle Patterns
• Multi-resolution Progressive Computational Ghost Imaging
• Ghost Imaging Based on Recurrent Neural Network
• Bifrequency 3D Ghost Imaging with Haar Wavelet Transform
• SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network
• Self-synchronizing scheme for high speed computational ghost imaging
• Compressive phase-only filtering at extreme compression rates
• Single-pixel Tracking and Imaging under Weak Illumination
• High fidelity single-pixel imaging
• Towards quantum 3D imaging devices: the Qu3D project