The design and implementation of a low-cost multispectral endoscopy through galvo scanning of a fiber bundle
Sign Up to like & getrecommendations! Published in 2018 at "Optics Communications"
DOI: 10.1016/j.optcom.2018.07.044
Abstract: Abstract In this work, we report the design and implementation of a compact, cost-effective multispectral imaging endoscope. First, a spectral image scanning system is built, by combining a micro-imaging system with a spectrometer and a… read more here.
Keywords: image; design implementation; system; fiber bundle ... See more keywords
Adaptive Multisensor Acquisition via Spatial Contextual Information for Compressive Spectral Image Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3111508
Abstract: Spectral image classification uses the huge amount of information provided by spectral images to identify objects in the scene of interest. In this sense, spectral images typically contain redundant information that is removed in later… read more here.
Keywords: acquisition; image classification; contextual information; spectral image ... See more keywords
SISTER: Spectral-Image Similarity-Based Tensor With Enhanced-Sparsity Reconstruction for Sparse-View Multi-Energy CT
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2019.2956886
Abstract: Multi-energy computed tomography (MCT) has a great potential in material decomposition, tissue characterization, lesion detection, and other applications. However, the severe noise that exists within projections makes it difficult to obtain high-quality MCT images. To… read more here.
Keywords: tensor; multi energy; sister; similarity ... See more keywords
Spectral Image Fusion From Compressive Measurements
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2884081
Abstract: Compressive spectral imagers reduce the number of sampled pixels by coding and combining the spectral information. However, sampling compressed information with simultaneous high spatial and high spectral resolution demands expensive high-resolution sensors. This paper introduces… read more here.
Keywords: resolution; fusion compressive; fusion; image fusion ... See more keywords
Rural Acoustic Landscape Analysis Based on Segmentation and Extraction of Spectral Image Feature Information
Sign Up to like & getrecommendations! Published in 2022 at "Applied Bionics and Biomechanics"
DOI: 10.1155/2022/1742711
Abstract: Spectrogram is an image that can record voice information, which can be analyzed by analyzing the received image. Spectrograms are used in mechanical fault diagnosis systems to answer questions such as the location, type, and… read more here.
Keywords: information; acoustic landscape; rural acoustic; landscape ... See more keywords
Interim connection space based on colorimetric values for spectral image compression and reproduction.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.468166
Abstract: A new interim and connection space (ICS) and its reconstruction method are proposed. The proposed ICS,tD65A, consists of six colorimetric values or two sets of tristimulus values under CIE illuminant D65 and A respectively. In… read more here.
Keywords: interim connection; colorimetric values; connection space; space based ... See more keywords
Spectral- and Image-Based Metrics for Evaluating Cleaning Tests on Unvarnished Painted Surfaces
Sign Up to like & getrecommendations! Published in 2024 at "Coatings"
DOI: 10.3390/coatings14081040
Abstract: Despite advances in conservation–restoration treatments, most surface cleaning tests are subjectively evaluated. Scores according to qualitative criteria are employed to assess results, but these can vary by user and context. This paper presents a range… read more here.
Keywords: cleaning tests; cleaning; spectral image; image based ... See more keywords