Snapshot spectral compressive imaging
Web12 Apr 2024 · Different from the widely used scanning-based methods, spectral snapshot compressive imaging (SCI) utilizes the idea of compressive sensing to compressively capture the 3D spatial-spectral data-cube in a single-shot 2D measurement and thus it is efficient, enjoying the advantages of high-speed and low bandwidth. WebThe method based on untrained network does not need training data or accurate polarization calibration, and can simultaneously reconstruct the 3D datacube and achieve self-calibration. Furthermore, as an instance, we integrate the simplest PM into our miniature snapshot imaging spectrometer to form a single-shot SPI prototype for the first time.
Snapshot spectral compressive imaging
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WebTo address the above problems, spectral compressive imaging (SCI), especially the coded aperture snapshot spectral imaging (CASSI) system [ 1, 4, 5 ], provides an elegant solution, which can capture information from multiple spectral bands at the same time with only one two-dimensional (2D) sensor. WebHadamard single-pixel imaging (SPI) employs the differential measurement strategy to eliminate the effect of negative value of Hadamard basis patterns but leads to doubling the number of measurements. To reduce the number of measurements, a Hadamard SPI method based on positive patterns is proposed. In this method, only the positive patterns …
WebSimultaneous coded aperture and dictionary optimization in compressive spectral imaging via coherence minimization. 点击量 ： 全部作者 ： Chenning Tao, Huanzheng Zhu, Peng Sun, Rengmao Wu, ... 下一条 ： Hyperspectral image recovery based on fusion of coded aperture snapshot spectral imaging and RGB images by guided filtering Web19 Feb 2024 · Single-pixel hyperspectral imaging (HSI) has received a lot of attention in recent years due to its advantages of high sensitivity, wide spectral ranges, low cost, and small sizes. In this article, we perform a single-pixel HSI experiment based on an untrained convolutional neural network (CNN) at an ultralow sampling rate, where the high-quality …
Web18 May 2024 · Here, we demonstrate the ultra-compact spectral light-field imaging (SLIM) by using a transversely dispersive metalens array and a monochrome imaging sensor. With only one snapshot, the SLIM ... Web6 Mar 2024 · We investigate deep learning for video compressive sensing within the scope of snapshot compressive imaging (SCI). In video SCI, multiple high-speed frames are modulated by different coding patterns and then a low-speed detector captures the integration of these modulated frames. In this manner, each captured measurement …
Webing, spectral scanning, and snapshot compressive imaging. Based on a dispersive optical element, such as a prism or a diffraction grating, scanning-based approaches can cap-ture each wavelength of light in isolation through a slit: so-called whiskbroom or pushbroom scanners [8, 43]. While scanning methods yield high spatial and spectral resolution,
Web9 Apr 2024 · Snapshot spectral imaging via compressive random convolution; Piecewise spectrally band-pass for compressive coded aperture spectral imaging; Optimization of compressive 4D-spatio-spectral snapshot imaging; Snapshot Compressive Imaging: Theory, Algorithms, and Applications; Computational Spectral Imaging With Diffractive Lenses … game spider downloadWeb9 Aug 2024 · Fourier single-pixel imaging (FSI) is a branch of single-pixel imaging techniques. It allows any image to be reconstructed by acquiring its Fourier spectrum by using a single-pixel detector. FSI uses Fourier basis patterns for structured illumination or structured detection to acquire the Fourier spectrum of image. However, the spatial … black grasshopper with white spotsWeb8 Jun 2024 · Spectral compressive imaging (SCI) is able to encode a high-dimensional hyperspectral image into a two-dimensional snapshot measurement, and then use algorithms to reconstruct the... game spirit in the tale of peter rabbitWebSnapshot compressive imaging uses a two-dimensional (2D) detector to capture high-dimensional (HD, i.e., 3D or larger) data in a snapshot measurement. Via novel optical designs, the 2D detector samples the HD data in a compressive manner; following this, algorithms are employed to reconstruct the desired HD data-cube. ... Spectral-temporal ... game spin the wheelWeb31 Oct 2024 · Abstract: In coded aperture snapshot spectral compressive imaging (CASSI) systems, hyperspectral image (HSI) reconstruction methods are employed to recover the spatial-spectral signal from a compressed measurement. Among these algorithms, deep unfolding methods demonstrate promising performance but suffer from two issues. … black grass in wheatWeb21 Jan 2024 · We propose a plug-and-play (PnP) method that uses deep-learning-based denoisers as regularization priors for spectral snapshot compressive imaging (SCI). Our method is efficient in terms of reconstruction quality and speed trade-off, and flexible enough to be ready to use for different compressive coding mechanisms. black grass in winter wheatWebA toolbox for spectral compressive imaging reconstruction including our MST (CVPR 2024), CST (ECCV 2024), HDNet (CVPR 2024), MST++ (CVPRW 2024), DAUHST (Arxiv 2024), etc. - GitHub - teacupboy/snapshot-compressive-imaging: A toolbox for spectral compressive imaging reconstruction including our MST (CVPR 2024), CST (ECCV 2024), HDNet (CVPR … game spider free download