Colorimetric fiber-optic sensor based on reflectance spectrum estimation for determining color of printed samples

Batinić, Bojan; Bajić, Jovan S.; Dedijer, Sandra; Kulundzic, Nenad; Joža, Ana; Lakovic, Nikola; Rajs, Vladimir

doi:10.1007/s11082-020-02458-7

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…Light reflects from the surface of a printed sample. The ratio of the luminous flux of reflected light from the sample to the luminous flux of reflected light from a completely diffuse sample (ideal white sample) is defined as the reflectance of the sample [15]. The color white has the highest reflectance at close to 100%; black has the lowest at nearly 0%.…”

Section: Resultsmentioning

confidence: 99%

Effects of MDF Substrate Surface Coating Process on UV Inkjet Print Quality

2023

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The structural properties and whiteness of the substrate surface markedly effect printing quality and are closely related to the primer coating processes. Herein, four different roller coating schemes were applied on MDF surfaces to change their structural properties and color, and the whiteness, gloss, and roughness properties of the substrate surfaces were characterized for UV inkjet printing. Data analysis was conducted to explore the effects of these variables on the color reproduction, relative contrast, and printing gloss of the MDF substrates. The results showed that, according to CMYK, L*a*b* values and spectral reflectance data, the finishing of the MDF substrate with a 40 g/m2 layer of transparent primer combined with three layers of white primer at 20 g/m2 per roll coating layer had the best color reproduction effect for UV inkjet printing. Regarding the effects of relative contrast, the correlation with whiteness and glossiness was significant, while the correlation with glossiness was minor. The inkjet printing gloss value was positively correlated with substrate primer surface whiteness, while it was negatively correlated with roughness. When the surface whiteness of the substrate was relatively high, the roughness was lower and the printing effects were glossier. We sought to optimize the printing effects of all aspects of the MDF substrate by primer coating. The results of this work provide a feasible application method to improve printing quality and enhance the added value of low-quality boards, as well as to further expand the application of UV inkjet printing in the wood decoration market.

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Section: Resultsmentioning

confidence: 99%

Effects of MDF Substrate Surface Coating Process on UV Inkjet Print Quality

2023

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“…Although the colorimetric accuracy for the PI algorithm is not much higher than the Kernel algorithm after the nonlinearity correction, the PI algorithm runs more efficiently than the Kernel algorithm. Besides, the colorimetric accuracy achieved by the PI algorithm after the correction is still acceptable for some applications, such as color reproduction in offset printing, electrophotography, and ink‐jet printing 30 …”

Section: Experiments Results and Discussionmentioning

confidence: 99%

“…Besides, the colorimetric accuracy achieved by the PI algorithm after the correction is still acceptable for some applications, such as color reproduction in offset printing, electrophotography, and ink-jet printing. 30 In order to visually assess the effectiveness of the nonlinearity correction, the sRGB images of two recovered spectral images before and after the correction are illustrated in Figure 3.…”

Section: Simulation: Spectral Estimation From Synthetic Color Imagesmentioning

confidence: 99%

Spectral reflectance estimation from non‐raw color images with nonlinearity correction

Hosseinkhani

Rajan

et al. 2023

Color Research & Application

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The spectral reflectance is recognized as the fingerprint of an object surface and has been used to achieve accurate color measurement in textile and other fields. Spectral reflectance can be recovered from color images to preserve high spectral and spatial resolutions simultaneously. However, a color camera commonly supplies a non‐raw color image, which is non‐linear with respect to the scene radiance, and is inappropriate for quantitative analysis. In this study, for non‐raw color images, different nonlinearity correction models are designed and evaluated with respect to different spectral estimation algorithms. The colorimetric and spectral accuracy of spectral estimation after the nonlinearity correction is assessed through both simulation and practical experiments. In the simulation, a large number of spectral images from several datasets are employed to directly verify the effectiveness of the nonlinearity correction. In the practical experiments, the spectral estimation accuracy following the nonlinearity correction is verified directly and indirectly based on actual color images. The resulting linear color image data after the nonlinearity correction can provide better spectral estimation accuracy especially for the PI algorithm with one power‐function based model. Besides, the combination of the simple PI algorithm with the power‐function based model can exceed other combinations comprising complex algorithms and models in both accuracy and efficiency. For the linear color image data, the PI algorithm even surpasses the deep learning‐based methods in certain metric, thus indicating a shallow relationship exists between the linear color image data and the spectral reflectance.

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Reducing the number of measuring points of the LED-based colorimetric probe

et al. 2022

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In this paper, reducing the number of necessary measuring points for estimating a reflected electromagnetic spectrum of a printed color patch is presented. In our previous work, a machine learning-based method was proven to be superior to Cubic Hermite interpolation in estimating spectrum based on six measured values. Now, the new hypothesis is that the number of measuring points could be decreased without the significant loss of the spectrum estimation. The ECI2002 test chart was used to create the dataset, which was further divided into training and test subset. For all the colors on the test chart, the measurements were performed on printed patches with the device proposed in our previous work, as well as with the commercial spectrophotometer X-Rite i1 Publish Pro2, which were then used as the ground truth, or reference values. The Artificial Neural Networks were trained to estimate spectrums based on measurements acquired with our device. The results proved satisfactory even when the number of measuring points is reduced from six to three.

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Colorimetric fiber-optic sensor based on reflectance spectrum estimation for determining color of printed samples

Cited by 7 publications

References 16 publications

Effects of MDF Substrate Surface Coating Process on UV Inkjet Print Quality

Effects of MDF Substrate Surface Coating Process on UV Inkjet Print Quality

Spectral reflectance estimation from non‐raw color images with nonlinearity correction

Reducing the number of measuring points of the LED-based colorimetric probe

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