Results 1 to 10 of about 255,628 (134)
Research on the deep learning-based exposure invariant spectral reconstruction method [PDF]
Frontiers in Neuroscience, 2022 The surface spectral reflectance of an object is the key factor for high-fidelity color reproduction and material analysis, and spectral acquisition is the basis of its applications.
Jinxing Liang +8 more
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On the Optimization of Regression-Based Spectral Reconstruction [PDF]
Sensors, 2021 Spectral reconstruction (SR) algorithms attempt to recover hyperspectral information from RGB camera responses. Recently, the most common metric for evaluating the performance of SR algorithms is the Mean Relative Absolute Error (MRAE)—an ℓ1 relative ...
Yi-Tun Lin, Graham D. Finlayson
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Performance-Enhanced Static Modulated Fourier Transform Spectrometer with a Spectral Reconstruction [PDF]
Sensors, 2023 A static modulated Fourier transform spectrometer has been noted to be a compact and fast evaluation tool for spectroscopic inspection, and many novel structures have been reported to support its performance.
Ju Yong Cho +2 more
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A Rehabilitation of Pixel-Based Spectral Reconstruction from RGB Images [PDF]
Sensors, 2023 Recently, many deep neural networks (DNN) have been proposed to solve the spectral reconstruction (SR) problem: recovering spectra from RGB measurements.
Yi-Tun Lin, Graham D. Finlayson
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Physically Plausible Spectral Reconstruction [PDF]
Sensors, 2020 Spectral reconstruction algorithms recover spectra from RGB sensor responses. Recent methods—with the very best algorithms using deep learning—can already solve this problem with good spectral accuracy.
Yi-Tun Lin, Graham D. Finlayson
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Optimized Multi-Spectral Filter Arrays for Spectral Reconstruction [PDF]
Sensors, 2019 Multispectral filter array (MSFA)-based imaging is a compact, practical technique for snapshot spectral image capturing and reconstruction. The imaging and reconstruction quality is highly influenced by the spectral sensitivities and spatial arrangement ...
Renjie Wu +3 more
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Spectral Reconstruction Using an Iteratively Reweighted Regulated Model from Two Illumination Camera Responses [PDF]
Sensors, 2021 An improved spectral reflectance estimation method was developed to transform captured RGB images to spectral reflectance. The novelty of our method is an iteratively reweighted regulated model that combines polynomial expansion signals, which was ...
Zhen Liu +6 more
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Spectral Reconstruction from RGB Imagery: A Potential Option for Infinite Spectral Data? [PDF]
SensorsSpectral imaging has revolutionisedvarious fields by capturing detailed spatial and spectral information. However, its high cost and complexity limit the acquisition of a large amount of data to generalise processes and methods, thus limiting widespread ...
Abdelhamid N. Fsian +3 more
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IEEE Photonics Journal, 2023 Currently, the engineering of miniature spectrometers mainly faces three problems: the mismatch between the number of filters at the front end of the detector and the spectral reconstruction accuracy; the lack of a stable spectral reconstruction ...
Jiakun Zhang +3 more
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Sensors, 2022 The computational spectrometer has significant potential for portable in situ applications. Encoding and reconstruction are the most critical technical procedures.
Xinran Ding +5 more
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