Mr. Yi-Ting Chen Profile

Yi-Ting Chen

at Purdue Univ

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Proceedings Article | 8 February 2015 Paper

Design of irregular screen sets that generate maximally smooth halftone patterns

Yi-Ting Chen, Tal Frank, Robert Ulichney, Jan Allebach, Altyngul Jumabayeva

Proceedings Volume 9395, 93950K (2015) https://doi.org/10.1117/12.2083553

KEYWORDS: Halftones, Analog electronics, Printing, Digital imaging, Image processing, Digital image processing, Visualization, Image quality, Matrices, Fourier transforms

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With the emergence of high-end digital printing technologies, it is of interest to analyze the nature and causes of image graininess in order to understand the factors that prevent high-end digital presses from achieving the same print quality as commercial offset presses. In this paper, we report on a study to understand the relationship between image graininess and halftone technology. With high-end digital printing technology, irregular screens can be considered since they can achieve a better approximation to the screen sets used for commercial offset presses. This is due to the fact that the elements of the periodicity matrix of an irregular screen are rational numbers, rather than integers, which would be the case for a regular screen. To understand how image graininess relates to the halftoning technology, we recently performed a Fourier-based analysis of regular and irregular periodic, clustered-dot halftone textures. From the analytical results, we showed that irregular halftone textures generate new frequency components near the spectrum origin; and that these frequency components are low enough to be visible to the human viewer, and to be perceived as a lack of smoothness. In this paper, given a set of target irrational screen periodicity matrices, we describe a process, based on this Fourier analysis, for finding the best realizable screen set. We demonstrate the efficacy of our method with a number of experimental results.

Proceedings Article | 4 February 2013 Paper

Segmentation for better rendering of mixed-content pages

Yi-Ting Chen, Di-Yuan Tzeng, Terry Nelson, Mark Shaw, Jan Allebach

Proceedings Volume 8652, 865209 (2013) https://doi.org/10.1117/12.2006150

KEYWORDS: Raster graphics, Image segmentation, Image processing algorithms and systems, Halftones, RGB color model, Printing, Binary data, Nonimpact printing, Simulation of CCA and DLA aggregates, Image processing

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We describe a segmentation-based object map correction algorithm, which can be integrated in a new imaging pipeline for laser electrophotographic (EP) printers. This new imaging pipeline incorporates the idea of object-oriented halftoning, which applies different halftone screens to different regions of the page, to improve the overall print quality. In particular, smooth areas are halftoned with a low-frequency screen to provide more stable printing; whereas detail areas are halftoned with a high-frequency screen, since this will better reproduce the object detail. In this case, the object detail also serves to mask any print defects that arise from the use of a high frequency screen. These regions are defined by the initial object map, which is translated from the page description language (PDL). However, the information of object type obtained from the PDL may be incorrect. Some smooth areas may be labeled as raster causing them to be halftoned with a high frequency screen, rather than being labeled as vector, which would result in them being rendered with a low frequency screen. To correct the misclassification, we propose an object map correction algorithm that combines information from the incorrect object map with information obtained by segmentation of the continuous-tone RGB rasterized page image. Finally, the rendered image can be halftoned by the object-oriented halftoning approach, based on the corrected object map. Preliminary experimental results indicate the benefits of our algorithm combined with the new imaging pipeline, in terms of correction of misclassification errors.

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