Camera system for multispectral imaging of documents

Christens-Barry, William A.; Boydston, Kenneth; Knox, Kerry L.; Easton, Roger L.; Toth, Michael B.

doi:10.1117/12.815374

Cited by 16 publications

(25 citation statements)

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“…3 Utilizing a 39 megapixel monochrome camera (7216 3 5412) E6 back, and APO-Digitar 5, 6/120 lens, the camera setup is integrated with lightemitting diode (LED) illumination panels that span the spectral range of 365 to 1000 nm, extending from the ultraviolet (UV), through the visible (VIS) and into the near-infrared (NIR) range (see Fig. 1).…”

Section: Library Of Congress Spectral Imaging Systemmentioning

confidence: 99%

“…The MegaVision-Equipoise Eureka-Vision TM (MegaVision, Inc., Santa Barbara, CA) imaging system was installed at the Library of Congress (LC) in 2008 and has been developed and upgraded extensively over the past two years, while imaging a wide range of collection items. 3 Utilizing a 39 megapixel monochrome camera (7216 3 5412) E6 back, and APO-Digitar 5, 6/120 lens, the camera setup is integrated with light-emitting diode (LED) illumination panels that span the spectral range of 365 to 1000 nm, extending from the ultraviolet (UV), through the visible (VIS) and into the near-infrared (NIR) range (see Fig. 1).…”

Section: Library Of Congress Spectral Imaging Systemmentioning

confidence: 99%

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Advanced Spectral Imaging for Noninvasive Microanalysis of Cultural Heritage Materials: Review of Application to Documents in the U.S. Library of Congress

France

2011

Appl Spectrosc

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Hyperspectral imaging was originally developed for remote sensing and astronomical applications, but adaptations of this technology have been of great benefit to the preservation of cultural heritage. Developments in noninvasive analytical techniques have advanced the preservation of cultural heritage materials by enabling the identification and analysis of a range of materials, utilizing their unique spectral response to nondestructively determine chemical composition, and determining states of deterioration and change due to environmental conditions. When used as a tool for noninvasive characterization of cultural heritage, these spectral imaging systems allow the collection of chemical identification information about materials without sampling, which is a critical factor for cultural heritage materials. The United States Library of Congress has been developing the application of hyperspectral imaging to the preservation and analysis of cultural heritage materials as a powerful noncontact technique. It allows noninvasive characterization of materials, by identifying and characterizing colorants, inks, and substrates with narrow-band illumination to protect the object while also monitoring deterioration or changes due to exhibit and other environmental conditions. Contiguous illumination from the ultraviolet, visible, and infrared spectral regions allows the capture of lost, obscured, and deteriorated information. The resulting image cube allows greater capabilities for mapping and coordinating a range of complementary chemical and spectral analyses. The capabilities of this technique are illustrated by a review of results from analysis of the Waldseemü ller World Map, the L'Enfant plan for Washington, D.C., and the first draft of the U.S. Declaration of Independence.

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Section: Library Of Congress Spectral Imaging Systemmentioning

confidence: 99%

Section: Library Of Congress Spectral Imaging Systemmentioning

confidence: 99%

Advanced Spectral Imaging for Noninvasive Microanalysis of Cultural Heritage Materials: Review of Application to Documents in the U.S. Library of Congress

France

2011

Appl Spectrosc

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“…Spectral imaging framework i.e. Eureka Vision was established by Christens-Barry et al [7] Such frameworks are helpful for forensic experts in ink investigation. Ink investigation using a band-by-band assessment of multi spectral images through visual evaluation is tedious.…”

Section: Introductionmentioning

confidence: 99%

Automatic Ink Mismatch Detection in Hyperspectral Images Using Kmeans Clustering.pdf

Talha¹,

Shah²,

Imtiaz³

et al. 2020

Preprint

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Hyper spectral imaging (HSI) is a technique that is used to obtain the spectrum for each pixel in the image. It helps in finding objects and identifying materials etc. Such an identification is very difficult using other imaging techniques. It allows the researchers to investigate the documents without any physical contact. Nowadays detection of unequal Ink mismatch based on HSI has shown vast improvement in distinguishing the inks. Detection of unequal Ink mismatch is an unbalanced clustering problem. This paper used K-means Clustering for ink mismatch detection. K-means Clustering find same subgroups in the data based on Euclidean distance. This paper demonstrates performance in unequal Ink mismatch based on HSI.

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“…Such a system modulates the illumination and provides a multispectral light source. LEDMSI has been used in several applications like biometrics [1], medical imaging [2], film scanner [3], and cultural heritage [4,5]. Studies are being carried out in order to analyze and address different issues with LEDMSI.…”

Section: Introductionmentioning

confidence: 99%

“…A number of LEDMSI systems have been proposed in the literature. These systems can be classified into two major types, based on the type of camera used: monochrome camera based [3,4], and RGB camera based [5,8,9]. The number of LEDs used in a LEDMSI system might be constrained by its availability and other practical factors, and hence different systems use different number of color LEDs.…”

Section: Introductionmentioning

confidence: 99%

How Are LED Illumination Based Multispectral Imaging Systems Influenced by Different Factors?

Shrestha¹,

Hardeberg²

2014

Lecture Notes in Computer Science

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LED illumination based multispectral imaging (LEDMSI) is one of the promising techniques of fast and effective spectral image acquisition. Several LEDMSI systems and methodologies have been proposed in the literature. A typical LEDMSI system uses a monochrome camera, which captures images of a scene under n different color LED lights, producing an n-band spectral image of the scene. RGB camera based LEDMSI systems have been proposed to speed up the acquisition process. However, demosaicing process in these systems affects the spatial accuracy, and in turn influences the quality of resulting spectral images. In this paper, we study how the performance and quality of LEDMSI systems are influenced by different factors. Four major factors: camera type, demosaicing, number of color LEDs and, noise are considered in the study. We carry out simulation experiments using monochrome and RGB camera based LEDMSI systems, under the influence of different amounts of noise and practical constraints on the number of different color LEDs. The experiments confirm the influence of these factors on the performance of a LEDMSI system. We believe that this work would be useful not only in designing LEDMSI systems, but also in developing quality framework(s) for the evaluation of spectral images and spectral imaging systems.

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Camera system for multispectral imaging of documents

Cited by 16 publications

References 0 publications

Advanced Spectral Imaging for Noninvasive Microanalysis of Cultural Heritage Materials: Review of Application to Documents in the U.S. Library of Congress

Advanced Spectral Imaging for Noninvasive Microanalysis of Cultural Heritage Materials: Review of Application to Documents in the U.S. Library of Congress

Automatic Ink Mismatch Detection in Hyperspectral Images Using Kmeans Clustering.pdf

How Are LED Illumination Based Multispectral Imaging Systems Influenced by Different Factors?

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