Monte Carlo Modeling of Light Scattering in Paper

Modrić, Damir; Bolanča, Stanislav; Beuc, Robert

doi:10.2352/j.imagingsci.technol.2009.53.2.020201

Cited by 13 publications

(4 citation statements)

References 12 publications

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“…Generally, computer solution of the convolution integral involves the application of a two-dimensional Fourier transform (FT); see Eq. (6). According to the convolution theorem, integration, i.e., summation, in spatial domain is a simple multiplication in Fourier domain.…”

Section: Point-spread Function Of Paper and Dot Gainmentioning

confidence: 99%

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Determination of point-spread function of paper substrate based on light-scattering simulation

2014

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The objective of this work was to establish the relationship between the calculated subsurface scattered-photon distribution and the mathematical quantity known as point-spread function (PSF). Photon distribution of subsurface scattered light was calculated using the Monte Carlo method developed for describing reflectance and opacity of paper and of images printed on paper. The obtained normalized photon distribution made it possible to separate optical and mechanical components of dot gain for the paper-ink system. In the presented method of obtaining the reflectance profile of a screen element, the PSF convolves with a modelled reflectance profile of that element. It was found that the PSF can be better approximated by means of the Lorentzian function when compared to the Gaussian profile that was used in the past research on this topic.

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Section: Point-spread Function Of Paper and Dot Gainmentioning

confidence: 99%

“…Our approach [6] to photon propagation utilizes the Monte Carlo method applied on paper substrate and differs from the above mentioned approaches. It is based on the work of Phral et al [7] and Wang et al [8].…”

Section: Introductionmentioning

confidence: 99%

Determination of point-spread function of paper substrate based on light-scattering simulation

2014

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“…It is possible to investigate and analyze the effects of cloud extinction coefficients on the signal detected by the pulsed laser radar platform via tracing photons in turbid and dispersive media of the cloud, taking into consideration the multi-scattering Monte Carlo method [14][15][16]. In this regard, FWHM of the diode laser pulse, number of photons per pulse, and diameter of the PIN diode were supposed to be 30 ns, 10 8 , and 2 cm, respectively.…”

Section: Simulation and Modelingmentioning

confidence: 99%

Detection of a target hidden in dense cloud clutter using an echo pattern of pulsed laser radar systems

Bahmeh,

Zangeneh

2023

Laser Phys.

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The performance of pulsed laser radar systems has been known to be drastically reduced in dense clutter media, detecting false signals instead of the target. Therefore, high-performance laser radars have become demanding for detection applications. Here, using a multi-scattering Monte Carlo simulation, the pulsed laser radar performance is studied in dense cloud clutter (DCC), involving the role of the clutter extinction coefficient in the cloud return signal waveform of the target. After generating a large number of return signals from the clutter and the target, a unique and prominent feature is found to efficiently distinguish the two signals from each other with a resolution of 0.80 and a minimum signal to clutter ratio of 5.04 dB. A high-pass trapezoidal filter is also designed based on the characteristic feature in order to eliminate the clutter return signal. This proposed filtering method is justified by applying Fourier transform to the return power from the target and cloud, eliminating the clutter frequency response in a low frequency region. Accordingly, it is possible to detect a target hidden in DCC at short distances through receiving an echo pulse pattern.

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“…Optical dot gain is caused by scattering of light within the paper (Rogers, 1998). Modrić et al (2009) introduced the possibility of applying modified Monte Carlo model for characterizing optical dot gain by modelling light propagation within the paper based on its composition. Further research dealt with the Monte Carlo modelling of uncoated paper using randomly orientated microfacets.…”

mentioning

confidence: 99%

Determining point spread function of pressure sensitive labels facestock

Itrić¹,

Jakopčević²,

Kovačević³

et al. 2022

Proceedings - The Eleventh International Symposium GRID 2022

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Pressure sensitive labels (PSL) are a growing part of graphic industry. In the past, their design and application were rather limited to basic packaging and product information while currently labels are receiving more and more attention because they are customer's first contact with a product. PSL composition includes release liner, adhesive and facestock. Facestock can be considered as the most important part of the label since its properties determine the final label appearance. Nowadays, facestock material can be both paper and filmic. Therefore, it is necessary to perform a comprehensive characterization of pressure sensitive labels facestock in order to investigate the future impact of optical dot gain on the print. Point spread function is a measure of scattering and absorption of light in the given substrate. It carries information regarding paper composition and its future behaviour in term of optical dot gain. In the study, seven different facestock substrates were examined, two made from biogenic polyethylene, and five paper based PSL facestocks, three of which are made from 15% agro industrial waste by-products (barley, citrus and grape). Point spread function of the substrates were obtained by projecting collimated red laser light source on the facestock of pressure sensitive labels. Although the laser light used in this experiment was characterized by a narrow beam width of 0.5 mm and low divergence, <1 mrad, the beam was further converged and then passed through a space filter to ensure collimation of the laser beam which was then incident perpendicular to the set sample. Laser profile was firstly obtained by photodiode profiling. Based on the measured values of light intensity, the laser light profile was determined, as well as the average beam width that was needed for further image analysis. Image of the light scattering within the substrate was obtained perpendicular to the surface with Canon EOS 5DS camera. From the obtained image, laser profile was removed, and the resulting profile gives the point spread function of the substrate. The resulting images were processed with commercially available image analysis software (ImageJ). The mean background intensity subtracted from each individual pixel was determined to remove the background effect, and the distribution of the scattered light profile was achieved. The results showed that facestock composition has a high influence on PSF shape and width.

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Monte Carlo Modeling of Light Scattering in Paper

Cited by 13 publications

References 12 publications

Determination of point-spread function of paper substrate based on light-scattering simulation

Determination of point-spread function of paper substrate based on light-scattering simulation

Detection of a target hidden in dense cloud clutter using an echo pattern of pulsed laser radar systems

Determining point spread function of pressure sensitive labels facestock

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