&lt;title&gt;Multispectral-based color reproduction research at the Munsell Color Science Laboratory&lt;/title&gt;

Berns, Roy S.; Imai, Francisco H.; Burns, Peter D.; Tzeng, Di-Yuan

doi:10.1117/12.324139

Cited by 30 publications

(15 citation statements)

References 32 publications

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“…The principal components are the linear combinations of the eigenvectors. 11,12 The resulting components are the vectors representing the primary spectral reflectance curves of the image. The primary colour of the blue-and-white porcelain can then be derived from the first component of the PCA analysis, not just simply from averaging of the sampled spectral data.…”

Section: Spectral Imaging and Color Analysismentioning

confidence: 99%

Non-Contact Color Analysis and Digital Archive Method for Blue-and-White Porcelain by Using Spectral Imaging Technology

Shyu¹,

Lee²

2013

IJHAC

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The unique colour representation of Oriental art work distinguishes itself from what has been seen in Western art work. Not only the traditional Oriental watercolour paintings but also the ancient Chinese porcelains show a great deal of interesting colours that have been archived by digital camera in digital archive practice. However, the majority of the current digital cameras operate with RGB filters, which record every pixel in a tri-chromatic manner. There are several limitations for such a tri-chromatic camera. One is that it describes the colour of the object only by three primary colours. Another is that the image captured is strongly influenced by the illumination at the scene, such that the archived image appears as it does specifically under that lighting condition, not as the original object itself. With such limitations, a problem called 'metamerism' may occur when an object is viewed under different illuminations. This creates a serious problem when colour is a critical factor in the digital archiving process.Spectral imaging technology is capable of capturing the colour in spectral form, and the spectral reflectance of each pixel is recorded accordingly. With consequent analysis and process, art works can be archived with high precision spectral data with the advantages of resolving the issue of metamerism and of reproducing the art work under any kind of illumination. Another advantage of spectral imaging technology is that it captures and analyzes the spectral data of an art work without any physical contact.

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Section: Spectral Imaging and Color Analysismentioning

confidence: 99%

Non-Contact Color Analysis and Digital Archive Method for Blue-and-White Porcelain by Using Spectral Imaging Technology

Shyu¹,

Lee²

2013

IJHAC

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“…Because of these advantages, spectral imaging technology has been a research focus in the fields of cultural heritage protection, imaging, and color science in recent years. Many research institutes and museums have established their narrowband or wideband spectral imaging systems . Some research such as color reproduction in color science field and digital archives collection and repair in art relics protection has achieved remarkable effects …”

Section: Introductionmentioning

confidence: 99%

Research on filter selection method for broadband spectral imaging system based on ancient murals

Liang

Wan

Liu

et al. 2015

Color Research & Application

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Digitization of cultural heritage protection has received considerable attention in heritage studies and spectral imaging technology has been playing an important role in this research. This article aims to study the technique of selecting optimal filter set to obtain ancient murals spectral image with high spectral and colorimetric accuracy based on the broadband spectral imaging system. The 330 Dunhuang murals mineral pigment color patches and the GretagMacbeth ColorChecker (CC) as well as 27 pieces of optical filters chosen as samples were examined. For each piece of filter, the three‐channel image was captured by the spectral imaging system. Then, 351 groups of six‐channel digital count images were acquired by arbitrary combinations of two among the 27 three‐channel digital count images. The pseudo‐inverse, principal component analysis, and R‐matrix methods were used to reconstruct the spectral reflectance from the six‐channel digital counts for each sample. Finally, this study identified the optimal filter set by evaluating the integrated error (TOTAL ERROR), which was calculated by normalizing the mean spectral root‐mean‐square error (RMS), mean spectral goodness‐of‐fit error (1‐GFC), and mean CIEDE2000 color difference (ΔE00) and by multiplying them together. After the optimal optic filter set was selected, it was applied to the Dunhuang murals spectral imaging and was evaluated. The results showed that the optimal optic filter set could result in promising improvement both in spectral and color accuracy when compared with the production camera. In addition, it can be used for the construction of Dunhuang murals spectral image database. © 2015 Wiley Periodicals, Inc. Col Res Appl, 41, 585–595, 2016

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“…Multichannel Visible Spectrum Imaging (MVSI), also known as spectral imaging, offers better accuracy at the expense of more system complexity and higher system bandwidth demands. [2][3][4][5][6] Developing an MVSI color reproduction system is described here.…”

Section: Limitations Of Traditional Image Reproduction Systemsmentioning

confidence: 99%

<title>Spectral reproduction from scene to hardcopy: II. Image processing</title>

et al. 2000

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Efforts to construct end-to-end color reproduction systems based on the preservation of scene spectral data have been underway at the Munsell Color Science Laboratory (MCSL). The goal is to present hardcopy results which are spectrally matched to original colors. The evaluated approach consists of capturing scenes through a trichromatic digital camera combined with multiple filterings followed by an image processing stage and then four-color printing. The acquisition end is designed to estimate original scene spectra on a pixel-by-pixel basis based on system characterizations which takes into account the camera sensitivities as modulated by the filterings and scene colorant make-up. The spectral-based printing used in this research is able to produce the least metameric reproduction to the original scene using a computationally feasible approach. Results show a system accuracy of mean ∆E* 94 of 1.5 and spectral reflectance rms error of 0.9%. Keywords: multi-spectral imaging, multi-channel image acquisition, spectral printing, spectral reproduction, MVSI LIMITATIONS OF TRADITIONAL IMAGE REPRODUCTION SYSTEMSCurrent graphic arts reproduction techniques of image capture, scanning, proofing and printing are still heavily entrenched in the traditions of densitometry and crafts experience. Color Management Systems which rely on colorimetry find use. Particularly the MARC project in European museums showed the feasibility of an end-to-end scene to hardcopy colorimetric color management system for artwork reproduction.1 This project was very successful in producing high-quality reproductions that matched the original painting under controlled illumination. These approaches can be used to produce pleasant hardcopy or an accurate hardcopy under a controlled environment, but for critical color-matching applications such as catalog sales and art-books these techniques can often lead to color reproductions which lack appropriate accuracy. Multichannel Visible Spectrum Imaging (MVSI), also known as spectral imaging, offers better accuracy at the expense of more system complexity and higher system bandwidth demands.2-6 Developing an MVSI color reproduction system is described here.A variety of camera approaches are available for MVSI systems. 7-15 The Munsell Color Science Laboratory (MCSL) has given a great deal of attention to two different general categories. The first is a narrow band approach. [7][8][9][10][11] Results have been reported on the use of placing a narrow bandpass tunable filter in front of a monochrome sensor. 10,11,15 Both CCD 15 and panchromatic black and white film 11 have been utilized as such sensors. These systems are analogous to using a spectrophotometer sampling the visible spectrum at known bandpass and wavelength interval. The second category, which has received a large amount of attention from the MCSL, has been a general wide band approach. [12][13][14][15] Again, a number of publications have reported the results of using a conventional trichromatic digital camera combined with absorptio...

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<title>Multispectral-based color reproduction research at the Munsell Color Science Laboratory</title>

Cited by 30 publications

References 32 publications

Non-Contact Color Analysis and Digital Archive Method for Blue-and-White Porcelain by Using Spectral Imaging Technology

Non-Contact Color Analysis and Digital Archive Method for Blue-and-White Porcelain by Using Spectral Imaging Technology

Research on filter selection method for broadband spectral imaging system based on ancient murals

<title>Spectral reproduction from scene to hardcopy: II. Image processing</title>

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