Camera Characterization for Colorimetric Assessment of Goniochromatic Prints

Tomić, Ivana; Dedijer, Sandra; Martínez‐Cañada, Pablo; Novaković, Dragoljub; Hladnik, Aleš

doi:10.2352/j.imagingsci.technol.2017.61.2.020502

Cited by 4 publications

(15 citation statements)

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“…If RGB data obtained for the angles of 45°asp and 75°asp are used as inputs to ANNs then the accuracy of the estimation is much higher to that reported in [9]-mean estimation error improved by 35% on average, while the biggest improvement was observed for maximum errors (for the angle of 75°asp the maximum error reduced from 18.54 CIEDE2000 to 3.46). Furthermore, it was noted that estimation accuracy could be related to the gamut of the outputs.…”

Section: Resultsmentioning

confidence: 85%

“…Also, it was shown [9] that it was possible to employ a DSLR camera for colour estimation of samples that required multi-angular measurements (i.e. In addition to detecting errors (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…CIELab values for the given RGB inputs) to establish the transformation function. The set-up of the networks was as previously reported [9]. As a transformation function, ANNs were used, and demonstrated a satisfactory degree of accuracy for colorimetric camera characterisation [9].…”

Section: Methodsmentioning

confidence: 99%

“…In this case, it was necessary to include the information about the viewing angle in the input layer together with RGB values, in order to improve the learning process [9]. In this case, it was necessary to include the information about the viewing angle in the input layer together with RGB values, in order to improve the learning process [9].…”

Section: Methodsmentioning

confidence: 99%

“…Because multi‐angular colour‐measuring devices are complex and expensive, a method for using commercial digital cameras for the colour estimation of goniochromatic prints was introduced . The advantage of camera‐based measurement is that the broader area of the coloured surface, as well as additional information about its texture and other properties, can be captured .…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Artificial neural networks for optimising camera‐based colour measurements of prints enhanced with pearlescent pigments

Tomić

Dedijer

Novaković

et al. 2018

Coloration Technology

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Pearlescent pigments are widely used in printing due to their optical, chemical and physical properties. To analyse the effects of goniochromism they produce, the colorimetric characterisation of materials printed with pearlescent pigments requires multi-angular measurements. In this study, the colours of prints enhanced with pearlescent pigments were measured by means of a digital camera, relying on the empirical camera characterisation method. Since this method is time-consuming, it was altered to enable estimates of colorimetric values for different geometries to be measured on the basis of images captured at one viewing angle. This approach was based on the use of artificial neural networks which were shown to provide sufficient flexibility for the given task. The results indicate that the images obtained at the viewing angle of 45°a specular (measuring geometry 45°/asp 45°) accurately estimate CIELab values for all of the tested measuring geometries. The proposed method is therefore not only time-efficient but also reduces the associated errors due to the camera's movement, and enables the estimation of colorimetric values for those viewing angles inaccessible by camera.

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Section: Resultsmentioning

confidence: 85%

“…Also, it was shown [9] that it was possible to employ a DSLR camera for colour estimation of samples that required multi-angular measurements (i.e. In addition to detecting errors (e.g.…”

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Artificial neural networks for optimising camera‐based colour measurements of prints enhanced with pearlescent pigments

Tomić

Dedijer

Novaković

et al. 2018

Coloration Technology

Self Cite

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Luminescent properties of fluorescent colour water-based ink films

Gajadhur

2024

Dyes and Pigments

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Radial Basis Function Neural Network for the Evaluation of Image Color Quality Shown on Liquid Crystal Displays

et al. 2021

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The color quality of an image shown on a liquid crystal display (LCD) can be measured with a spectroradiometer; however, this instrument is expensive, work under controlled illumination conditions with an artificial source of light, and measurements take a long time. A spectroradiometer returns measurements of wavelength or CIE color space. A low-cost and fast alternative consists of using a digital camera that outputs RGB measurements. Unfortunately, comparisons between measurements obtained with both instruments cannot be performed; hence, conversion equations must be used. The main problem is that equations do not consider the effects caused by the camera lens, sensor variations, and configurable parameters such as gain and the exposure time. This paper proposes the architecture of a radial basis function neural network (RBFNN) to measure the image color quality displayed by an LCD using a digital camera. The RGB values acquired with a camera are used as inputs to the RBFNN. The output predicted the luminance and chromaticity components in the CIExyY color space and included the corrections to the lens and camera parameters. First, the RBFNN topology is explained, including the calculation of the number of neurons in the hidden layer, and the definition of the dispersion centers and their associated spread. Next, the experiments related to RGB color space reconstruction and conversion from RGB to CIE are presented. The proposed approach was tested on a real automotive scenario. The results obtained were similar to those measured with the spectroradiometer with an accuracy of 93.3%. Moreover, the results remained within limits established by the six-sigma methodology.INDEX TERMS Liquid crystal display, radial basis function neural network, digital camera, spectroradiometer, RGB, CIE.

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Camera Characterization for Colorimetric Assessment of Goniochromatic Prints

Cited by 4 publications

References 0 publications

Artificial neural networks for optimising camera‐based colour measurements of prints enhanced with pearlescent pigments

Artificial neural networks for optimising camera‐based colour measurements of prints enhanced with pearlescent pigments

Luminescent properties of fluorescent colour water-based ink films

Radial Basis Function Neural Network for the Evaluation of Image Color Quality Shown on Liquid Crystal Displays

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