Self-training-based spectral image reconstruction for art paintings with multispectral imaging

2017 ◽  
Vol 56 (30) ◽  
pp. 8461 ◽  
Author(s):  
Peng Xu ◽  
Haisong Xu ◽  
Changyu Diao ◽  
Zhengnan Ye
Keyword(s):  
Image Reconstruction ◽  
Multispectral Imaging ◽  
Spectral Image

Multiscale Photon-Limited Spectral Image Reconstruction

2010 ◽  
Vol 3 (3) ◽  
pp. 619-645 ◽  
Author(s):  
Kalyani Krishnamurthy ◽  
Maxim Raginsky ◽  
Rebecca Willett
Keyword(s):  
Image Reconstruction ◽  
Spectral Image

Effects of Single Wavelength Selection for Anisakid Roundworm Larvae Detection through Multispectral Imaging

2007 ◽  
Vol 70 (8) ◽  
pp. 1890-1895 ◽  
Author(s):  
SVEIN K. STORMO ◽  
AGNAR H. SIVERTSEN ◽  
KARSTEN HEIA ◽  
HEIDI NILSEN ◽  
EDEL ELVEVOLL
Keyword(s):  
Light Scattering ◽  
Multispectral Imaging ◽  
Spatial Information ◽  
Imaging Spectroscopy ◽  
Fish Muscle ◽  
Alternative Methods ◽  
Spectral Image ◽  
Nematode Parasites ◽  
Food Quality And Safety ◽  
Commercially Important

The occurrence of parasites in fillets of commercially important fish species affects both food quality and safety. Presently, the detection and removal of nematode parasites is done by inspection on a light table (candling) and manual trimming of the fillets. This operation is costly and time-consuming and is not effective for detecting and removing all the nematodes in the fillets. In the last decades, several alternative methods have been proposed, but these methods have failed to replace the candling method. A newly described method called imaging spectroscopy has produced promising results because the operator can record both spectral and spatial information from an object. In this work, we studied single-wavelength bands from a spectral image. Discrimination between nematodes and other objects in the fillets is dependent on the level of contrast. Quantification of the contrast in such images revealed that the level of contrast varied when different wavelengths were selected, and these variations are correlated with the absorption properties of the nematode. Visible light scatters greatly in fish muscle, generally complicating the detection of nematodes. In this study, light scattering was used in a way that reduces the background complexity in spectral images. When light scattering properties were used in a wavelength range different from the bulk of the nematode light absorption, spectral images with significantly higher contrast were produced.

scholarly journals Block-Based Spectral Image Reconstruction For Compressive Spectral Imaging Using Smoothness on Graphs

2021 ◽  
Author(s):  
Juan Florez Ospina ◽  
Abdullah Alrushud ◽  
Daniel Lau ◽  
Gonzalo Arce
Keyword(s):  
Image Reconstruction ◽  
Spectral Imaging ◽  
Spectral Image ◽  
Block Based

scholarly journals Color Accuracy-Guided Data Reduction for Practical LED-based Multispectral Imaging

2021 ◽  
Vol 2021 (1) ◽  
pp. 65-70
Author(s):  
Olivia Kuzio ◽  
Susan Farnand
Keyword(s):  
Multispectral Imaging ◽  
Imaging System ◽  
Optimal Combination ◽  
Light Sources ◽  
Spectral Image ◽  
Image Capture ◽  
Spectral Bands ◽  
Color Profile ◽  
Imaging Strategy ◽  
Optimal Set

The color accuracy of an LED-based multispectral imaging strategy has been evaluated with respect to the number of spectral bands used to build a color profile and render the final image. Images were captured under select illumination conditions provided by 10-channel LED light sources. First, the imaging system was characterized in its full 10-band capacity, in which an image was captured under illumination by each of the 10 LEDs in turn, and the full set used to derive a system profile. Then, the system was characterized in increasingly reduced capacities, obtained by reducing the number of bands in two ways. In one approach, image bands were systematically removed from the full 10-band set. In the other, images were captured under illumination by groups of several of the LEDs at once. For both approaches, the system was characterized using different combinations of image bands until the optimal set, giving the highest color accuracy, was determined when a total of only 9, 8, 7, or 6 bands was used to derive the profile. The results indicate that color accuracy is nearly equivalent when rendering images based on the optimal combination of anywhere from 6 to 10 spectral bands, and is maintained at a higher level than that of conventional RGB imaging. This information is a first step toward informing the development of practical LED-based multispectral imaging strategies that make spectral image capture simpler and more efficient for heritage digitization workflows.

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