New approach to metamerism measurement on halftone color images

Zjakić, Igor; Parac-Osterman, Đurđica; Bates, Irena

doi:10.1016/j.measurement.2011.05.016

Cited by 7 publications

(3 citation statements)

References 23 publications

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“…To control the quality of colour reproduction, it is of utmost importance to achieve uniform coloration between the reference sample and the manufactured sample, not only under a standard light that simulates the colour appearance under average sunlight, but also under standard light that simulates the distribution of artificial light sources [1]. According to the agreement, it was accepted that the metameric index lower than MI ≤ 2 is considered acceptable [2]. Metamerism is not a common colour change that occurs regularly when the light source is changed, although this phenomenon can also be considered a form of metamerism.…”

Section: Introductionmentioning

confidence: 99%

Metamerism problem in the colour recipe calculation

Ludaš,

Ira Glogar,

Ercegović Ražić

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The analysis presented in this paper was carried out in the context of two main objectives. One was the study of the phenomenon of metamerism, and the other was the investigation of the possibility of applying new acid dyes in relation to the already known ones, from the aspect of durability, and ecological and economic sustainability. The analysis was carried out on samples dyed under industrial conditions in the Jadran d.d. sock factory. The aim was to show the phenomenon of metamerism as one of the key parameters of quality control in dyeing, which, if present, prevents the conversion of production to new dyes that would allow faster and cheaper production with a higher degree of dye exhaustion, which certainly has an impact on economic and environmental sustainability. The analysis of the metamerism was performed spectrophotometrically and the results are shown in a form of the reflectance curves, the numeric evaluation of colour parameters (L*, C*, h) and the positioning of the colours in the a*/b* colour space. The analysis and comparison of the colorations obtained with two types of dyes (new generic and known) did not show a great difference in the occurrence of the phenomenon of metamerism. This speaks in favour of the further development of new dyes that, whose improved properties, would contribute to an improvement in the context of sustainability, although this part is still within the scope of the research hypothesis that continues and whose results will be published in further publications.

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Section: Introductionmentioning

confidence: 99%

Metamerism problem in the colour recipe calculation

Ludaš,

Ira Glogar,

Ercegović Ražić

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…The objective of color reproduction is to obtain the same visual perception of the original images, and it is mainly implemented based on the metameric reproduction principle [1,2]. However, when the illuminants or observers change, the color consistency between the original and the hard copy is hardly maintained.…”

Section: Introductionmentioning

confidence: 99%

Spectral Separation for Multispectral Image Reproduction Based on Constrained Optimization Method

Sun

Liu

Zhou

2014

Journal of Spectroscopy

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The constrained optimization method is employed to calculate the colorant values of the multispectral images. Because the spectral separation from the 31-dimensional spectral reflectance to low dimensional colorant values is very complex, an inverse process based on spectral Neugebauer model and constrained optimization method is performed. Firstly, the spectral Neugebauer model is applied to predict the colorants’ spectral reflectance values, and it is modified by using the Yule-Nielsenn-value and the effective area coverages. Then, the spectral reflectance root mean square (RRMS) error is established as the objective function for the optimization method, while the colorant values are constrained to 0~1. At last, when the nonlinear constraints and related parameters are set appropriately, the colorant values are accurately calculated for the multispectral images corresponding to the minimum RRMS errors. In the experiment, the colorant errors of the cyan, magenta and yellow inks are all below 2.5% and the average spectral error is below 5%, which indicate that the precision of the spectral separation method in this paper is acceptable.

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“…This variability can increase substantially when different light sources are used, even when the color of these light sources appears the same. These metameric light sources can have very different spectral distributions [12], leading to radically different colors being perceived [13]- [15]. This is especially a problem in recent years, where LED-based lighting is becoming increasingly prevalent due to their cost and energy advantages.…”

mentioning

confidence: 99%

Extraction and Classification of Surface Color Information Using Selective LED Illumination and a Statistical Neural Network

Eguchi,

Yamada,

Yeoh

et al. 2024

IEEE Access

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The color of a product is one of the main factors that affect consumer choices. However, it can be difficult to discern the subtle differences in color in order to inspect or classify products without expensive and specialized equipment. In this study, we proposed an approach where standard off-the-shelf components (digital camera and RGB LED lights) can be used to robustly classify products based on their color. By varying the color of the illumination, environment-independent information of the color of the object can be obtained. Then, using a Log-Linearized Gaussian Mixture Neural Network (LLGMN), a neural network based on a statistical model, the objects can be effectively and robustly classified based on their color without requiring a large number of training data. An experiment was performed to verify the effectiveness of this approach. 8 samples with only a subtle difference in color were prepared, and a prototype was developed to be used to classify these 8 samples. We demonstrate that we are able to classify the 8 samples an accuracy of 100% when there was no ambient light and were still able to maintain an accuracy of 94.1% when there was ambient light in the room.

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New approach to metamerism measurement on halftone color images

Cited by 7 publications

References 23 publications

Metamerism problem in the colour recipe calculation

Metamerism problem in the colour recipe calculation

Spectral Separation for Multispectral Image Reproduction Based on Constrained Optimization Method

Extraction and Classification of Surface Color Information Using Selective LED Illumination and a Statistical Neural Network

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