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Found 5 papers, 0 papers with code
Physics-driven generative adversarial networks empower single-pixel infrared hyperspectral imaging
A physics-driven generative adversarial network (GAN) was established here for single-pixel hyperspectral imaging (HSI) in the infrared spectrum, to eliminate the extensive data training work required by traditional data-driven model.
Secondary complementary balancing compressive imaging with a free-space balanced amplified photodetector
Single-pixel imaging (SPI) has attracted widespread attention because it generally uses a non-pixelated photodetector and a digital micromirror device (DMD) to acquire the object image.
Single-pixel imaging based on weight sort of the Hadamard basis
Single-pixel imaging (SPI) is very popular in subsampling applications, but the random measurement matrices it typically uses will lead to measurement blindness as well as difficulties in calculation and storage, and will also limit the further reduction in sampling rate.
Multi-wavelet residual dense convolutional neural network for image denoising
Networks with large receptive field (RF) have shown advanced fitting ability in recent years.
Efficient phase retrieval based on dark fringe recognition with an ability of bypassing invalid fringes
This paper discusses the noisy phase retrieval problem: recovering a complex image signal with independent noise from quadratic measurements.
