New Design for Compact Color Screen Sets for High-End Digital Color Press

Frank, Tal; Haik, Oren; Jumabayeva, Altyngul; Allebach, Jan P.; Yitzhaky, Yitzhak

doi:10.1109/tip.2019.2955295

Cited by 3 publications

(18 citation statements)

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“…An extension of this work is presented in [13], where the irregular screen noise is evaluated directly from the screen basis lattice vectors, and an HVS model is applied to predict the visibility of the noise in the print. [8] suggested measuring the noise level of an irregular screen by counting the number of different cluster shapes per grey level (a regular screen has only one shape per grey level). The main challenge with these methods is their inability to predict pattern visibility by a typical human observer after the printing process.…”

Section: Fourier-based Noisiness Evaluation Of Irregular Screensmentioning

confidence: 99%

“…Dispersed dot cost functions tend to distribute pixels away from each other with some typical wavelength, λ gl , to create a visually pleasing distribution [2], [33]. Clustered dot screen cost functions distribute dots around the halftone cell center [8]. Dispersed dot screens render large portions of the tonal range with isolated areas of colorant pixels.…”

Section: B Screeningmentioning

confidence: 99%

“…Avoiding visual moiré patterns within a screen set requires one to pinpoint screens that do not suffer from these patterns when superimposed. Such screen sets are called moiré free [8], [9], and the most common one is the rosette zero-moiré screen set [8], [9] in which the screens have precisely the same resolution and a fixed thirty-degree difference (CMK) between them. Digital print engine screens are quantized to an integer number of pixels and thus can produce only a limited number of unique angles and resolutions (i.e., screens) [10], [11], [1].…”

Section: Introductionmentioning

confidence: 99%

“…The choice of screen usually depends on content, application, substrate, or color performance. [8], [4]. The size of the screen pool is proportional to the engine resolution: as the resolution increases, the number of available screens increases as well [11].…”

Section: Introductionmentioning

confidence: 99%

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A Study on Halftoning Improvement for Low-Resolution Digital Print Engines With Machine Learning Methods

et al. 2022

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As today's printing volume worldwide decreases, and most traditional printing engines are expensive non-digital devices (offset), the demand for a low-cost digital replacement is rapidly increasing. A main disadvantage of digital presses is the low-resolution capabilities, introducing a compromise in the print quality (PQ). A key factor of print quality is the halftoning algorithm. A very common halftoning method is amplitude modulation (AM) halftone screening, in which dots are placed on a repetitive lattice, varying in size as a function of the grey level. The main AM screen design PQ challenge for lowresolution devices is the quantization frequencies, a disturbing pattern that usually emerges when a screen is approximated to a rational angle due to low resolution. Fourier-based analysis is a classical rule-based method to filter out screens that suffer from visually disturbing quantization patterns. This work presents a new approach that tackles this challenge by incorporating machine learning with the classic Fourier-based approach. Particularly, we show that a binary decision tree classifier with a Fourier-based feature vector has an accuracy of 95% in identifying quantization-free screens compared to the classic rule-based method, which has an accuracy of 66%. We conclude by demonstrating the use of the screen classifier to design a quantization-free screen set. This is done by first applying the screen classifier to the entire screen pool, that is, the set of all possible screens for a given print engine, followed by a rosette zero-moiré offset-like screen design.

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Section: Fourier-based Noisiness Evaluation Of Irregular Screensmentioning

confidence: 99%

Section: B Screeningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Study on Halftoning Improvement for Low-Resolution Digital Print Engines With Machine Learning Methods

et al. 2022

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“…The second is whether the dots on the printer addressable lattice are clustered or dispersed. All four combinations of these two attributes are used in practice: periodic, clustered-dot [2], aperiodic, clustered-dot [3]- [5], periodic, dispersed-dot [6], and aperiodic, dispersed-dot [7].…”

Section: Introductionmentioning

confidence: 99%

Screen-Based Watermarking Of Aperiodic, Clustered-Dot Halftones

Liu

Allebach

2021

2021 IEEE International Conference on Image Processing (ICIP)

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Aperiodic, clustered-dot halftoning can overcome the inherent instability of electrophotographic (EP) printing technologies. In our previous work, we described a screen design algorithm based on Direct Binary Search (DBS) that yields aperiodic, clustered-dot halftone textures [1]. In the present paper, we introduce a new microscreen design algorithm that allows the embedding of binary metadata in an aperiodic, clustereddot halftone image with no loss of visual quality. We also describe a simple method for decoding the embedded metadata with only a knowledge of the two microscreens used to halftone the continuous-tone image. Our results with one image demonstrate 100% recovery of the embedded metadata.

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