Mr. G. M. Atiqur Rahaman Profile

G. M. Atiqur Rahaman

at Mid Sweden Univ

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Proceedings Article | 24 February 2014 Paper

Extension of Murray-Davies tone reproduction model by adding edge effect of halftone dots

G. M. Atiqur Rahaman, Ole Norberg, Per Edström

Proceedings Volume 9018, 90180F (2014) https://doi.org/10.1117/12.2037754

KEYWORDS: Reflectivity, Image segmentation, Solids, Halftones, Printing, Performance modeling, Frequency modulation, RGB color model, Fermium, Light sources

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We propose expanding the Murray-Davies formula by adding the effect of edges of solid inks in a halftoned image. The expanded formula takes into account the spectral reflectance of paper white, full tone ink and mixed area scaled by the fractional area coverages. Here, mixed area mainly refers to the edge of an inked dot where the density is very low, and lateral exchange of photons can occur. Also, in such area the paper micro components may have higher scattering power than ink, especially, in uncoated paper. Our methodology uses cyan, magenta and yellow separation ramps printed on different papers by impact and non-impact based printing technologies. The samples include both frequency and amplitude modulation halftoning methods of various print resolutions. Based on pixel values, the captured microscale halftoned image is divided into three categories: solid ink, mixed area, and unprinted paper between the dots. The segmented images are then used to measure the fractional area coverage that the model receives as parameters. We have derived the characteristic reflectance spectrum of mixed area by rearranging the expanded formula and replacing the predicted term with the measured value using half of the maximum colorant coverage. Performance has clearly improved over the Murray-Davies model with and without dot gain compensation, more importantly, preserving the linear additivity of reflectance of the classical physics-based model.

Proceedings Article | 3 February 2014 Paper

Microscale halftone color image analysis: perspective of spectral color prediction modeling

G. M. Atiqur Rahaman, Ole Norberg, Per Edström

Proceedings Volume 9015, 901506 (2014) https://doi.org/10.1117/12.2037256

KEYWORDS: Image segmentation, Solids, Halftones, Reflectivity, Frequency modulation, Fermium, Mathematical modeling, Printing, Color prediction, RGB color model

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A method has been proposed, whereby k-means clustering technique is applied to segment microscale single color halftone image into three components—solid ink, ink/paper mixed area and unprinted paper. The method has been evaluated using impact (offset) and non-impact (electro-photography) based single color prints halftoned by amplitude modulation (AM) and frequency modulation (FM) technique. The print samples have also included a range of variations in paper substrates. The colors of segmented regions have been analyzed in CIELAB color space to reveal the variations, in particular those present in mixed regions. The statistics of intensity distribution in the segmented areas have been utilized to derive expressions that can be used to calculate simple thresholds. However, the segmented results have been employed to study dot gain in comparison with traditional estimation technique using Murray-Davies formula. The performance of halftone reflectance prediction by spectral Murray-Davies model has been reported using estimated and measured parameters. Finally, a general idea has been proposed to expand the classical Murray-Davies model based on experimetal observations. Hence, the present study primarily presents the outcome of experimental efforts to characterize halftone print media interactions in respect to the color prediction models. Currently, most regression-based color prediction models rely on mathematical optimization to estimate the parameters using measured average reflectance of a large area compared to the dot size. While this general approach has been accepted as a useful tool, experimental investigations can enhance understanding of the physical processes and facilitate exploration of new modeling strategies. Furthermore, reported findings may help reduce the required number of samples that are printed and measured in the process of multichannel printer characterization and calibration.

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