scholarly journals Optimizing the Spectral Characterisation of a CMYK Printer with Embedded CMY Printer Modelling

2019 ◽  
Vol 9 (24) ◽  
pp. 5308
Author(s):  
Qiang Liu ◽  
Zheng Huang ◽  
Michael R. Pointer ◽  
M. Ronnier Luo
Keyword(s):  
Cellular Structure ◽  
Experimental Results ◽  
Digital Printing ◽  
Input Device ◽  
Effective Solution ◽  
Spectral Accuracy ◽  
Printing Process ◽  
Dark Tone ◽  
Spectral Characterisation

In the digital printing process, reliable colour reproduction is commonly achieved by printer characterisation, which defines the correspondence between the input device control values and the output colour information. The cellular Yule–Nielsen spectral Neugebauer model, together with its variants, is widely adopted in this topic because of its superb colorimetric and spectral accuracy. However, it seems that current studies have neglected an inconspicuous defect in such models when characterising printers equipped with black ink. That is, the cellular structure of these models overemphasises the sampling for dark-tone colours, and thus leads to relatively large errors in light tones. In this paper, taking a CMYK printer as an example, a simple and effective solution is proposed with no need of extra sampling. With the aid of a newly built cellular spectral Neugebauer model for the embedded CMY printer, this approach optimises the printer characterisation for light tones, slightly improves the precision for middle tones while it maintains the accuracy for dark tones. The performance of the proposed method was evaluated with regard to three different kinds of substrates and the experimental results validated its improvement in spectral printer characterisation.

A Fast Intra Prediction Algorithm Based on WMSE for 360-Degree Video

2020 ◽  
Vol 34 (13) ◽  
pp. 2054032
Author(s):  
Fuqi Mao ◽  
Renbo Su ◽  
Zhi Liu ◽  
Mengmeng Zhang ◽  
Wen Yue
Keyword(s):  
Virtual Reality ◽  
Video Coding ◽  
Rate Increase ◽  
Intra Prediction ◽  
Experimental Results ◽  
Prediction Algorithm ◽  
Effective Solution ◽  
Fast Intra Prediction ◽  
Time Reduction

With the increased demand for virtual reality, 360-degree video coding becomes challenging. A 360-degree video should be projected as a planar video before encoding, but this process causes distortion whose degree depends on the latitude. Traditional coding algorithms cannot effectively adapt to this feature. In this study, a fast intra prediction algorithm based on WMSE for 360-degree video is proposed. The similarity between the mother block and child blocks can reflect whether the mother block needs to be divided. Spherical weights are introduced in WMSE, and the similarity expressed by WMSE can distinguish the video of different latitude, which is consistent with the weight characteristics of ERP projection. Experimental results show that the proposed algorithm achieves 32% time reduction, with only 0.29% luma Bjontegaard delta rate (BD-rate) increase on average. The proposed algorithm provides a more effective solution to reduce the coding complexity of 360-degree video.

An Evaluation Methodology for Design Concept Communication Using Digital Prototypes

2016 ◽  
Vol 138 (3) ◽  
Author(s):  
Soheil Arastehfar ◽  
Ying Liu ◽  
Wen Feng Lu
Keyword(s):  
Statistical Methods ◽  
Consumer Products ◽  
Physical Characteristics ◽  
Experimental Results ◽  
Evaluation Methodology ◽  
Input Device ◽  
Input Output ◽  
Input Devices ◽  
Design Concepts

Digital prototypes (DPs) allow designers to communicate design concepts to users by rendering physical characteristics of the concepts. To enhance user understanding of the concepts, it is important that the users be able to make better estimates of the values of the characteristics. Correctness of the estimates can depend on two crucial factors: the ability of DPs to render the physical characteristics and the way the DPs are used to communicate the physical characteristics. However, little attention has been paid to the latter. A DP can be used in different ways, e.g., it can be projected on different backgrounds, or be manipulated using different input/output devices. Hence, it is important to identify an effective way of using DPs, via an assessment of the effectiveness of various ways. This paper introduces a methodology for evaluating the effectiveness of communication of physical characteristics to users using DPs. The methodology is used to assess the degree to which users can correctly and quickly estimate the values of the characteristics through interactions with DPs. Such assessments are then analyzed with statistical methods and hypothesis tests to reveal the effectiveness. To validate the proposed methodology, the size of hand-held electronic consumer products, such as smartphones, is considered in a case study. In the study, the effectiveness of two communication setups is evaluated. The same DP is used in both setups, while the environments and input devices are different. The experimental results show that the evaluated effectiveness can reflect how successful the setups are, and can help select the best way of using the DP, i.e., by providing a better environment, a better input device, or a combination of both.

EMG for Subtle, Intimate Interfaces

2008 ◽  
pp. 524-542
Author(s):  
Enrico Costanza ◽  
Samuel A. Inverso ◽  
Rebecca Allen ◽  
Pattie Maes
Keyword(s):  
Muscle Contraction ◽  
Muscle Activity ◽  
Experimental Results ◽  
Input Device ◽  
Multimodal Interface ◽  
Volitional Control ◽  
Upper Arm ◽  
Input Modality ◽  
Emg Signal ◽  
Mobile Interfaces

Mobile interfaces should be designed to enable subtle, discreet, and unobtrusive interaction. Biosignals and, in particular, the electromyographic (EMG) signal, can provide a subtle input modality for mobile interfaces. The EMG signal is generated by a muscle contraction and can be used for volitional control; its greatest potential for mobile interfaces is its ability to sense muscle activity not related to movement. An EMG-based wearable input device, the Intimate Communication Armband, is presented in this chapter to demonstrate this subtle interaction concept. The device detects subtle, motionless gestures from the upper arm. Experimental results show that the gestures are reliably recognized without user or machine training, that the system can be used effectively to control a multimodal interface, and that it is very difficult for observers to guess when a trained user is performing subtle gestures, confirming the subtlety of the proposed interaction.

Potential Chemical Stressors Emitted During the Operation of Machines in the Digital Printing Process

2020 ◽  
pp. 1-14
Author(s):  
Savka Adamović ◽  
Vladimir Rajs ◽  
Dragan Adamović ◽  
Aleksandra Mihailović ◽  
Selena Samardžić ◽  
...  
Keyword(s):  
Digital Printing ◽  
Printing Process

Quick draw of the original handwriting base on quadratic Bezier curve

2016 ◽  
Vol 14 (04) ◽  
pp. 1650025
Author(s):  
Shengan Zhou ◽  
Dongfa Gao ◽  
Dehua Zhou
Keyword(s):  
Normal Mouse ◽  
Experimental Results ◽  
Bézier Curve ◽  
Bezier Curve ◽  
Input Device ◽  
Input Devices ◽  
Quadratic Bézier Curve ◽  
Direction Information ◽  
Quick Draw ◽  
Moving Speed

According to the use of normal mouse as an input device to achieve the quick draw of the original handwriting, this paper proposed a quick draw Method of original handwriting based on quadratic Bezier curve. Firstly, the method obtained moving speed and the direction information of the mouse and the information helped to obtain the periphery polygon vertex of the original handwriting drawing. Then Corresponding vertices of a polygon was used to structure the Bezier curve on both sides of the original handwriting to generate the peripheral curve polygon of the original handwriting. Finally, it was input by filling the curve polygon to simulate the user’s handwriting. The experimental results show that the algorithm interacts smoothly and has good simulation effect. Compared with other original handwriting drawing methods with the help of the related electronic input devices, this method only needs the normal mouse instead of stylus and multi touch device to achieve the smooth drawing of original handwriting. Therefore it has wide application value.

Photoinitiating characteristic of erythrosine B derivatives and its application on pigmented visible photo-curing ink of textile digital printing

2016 ◽  
Vol 86 (20) ◽  
pp. 2158-2168 ◽  
Author(s):  
Xuying Nan ◽  
Guangdong Sun ◽  
Yi Huang ◽  
Qinguo Fan ◽  
Yuhua Yao ◽  
...  
Keyword(s):  
Visible Light ◽  
Tensile Properties ◽  
Visible Light Irradiation ◽  
Experimental Results ◽  
Digital Printing ◽  
Erythrosine B ◽  
Jet Printing ◽  
And Performance ◽  
Photo Curing ◽  
The Relationship

Eight visible photoinitiators composed of a series of erythrosine B derivatives with different structures, combined with ethyl-4-dimethylaminobenzoate and diphenyliodonium hexafluorophosphate, were evaluated for their photoinitiating characteristic and the tensile properties of photo-curing films initiated by them, to acquire the relationship between structure and performance. The visible photoinitiator was the key component for the pigmented visible photo-curing ink of textile digital printing. So, based on the experimental results, the preferred photoinitiator was incorporated into three pigmented photo-curing inks (red, yellow and blue) to perform textile digital jet printing. After photo-curing under visible light irradiation, the printed fabric samples showed excellent dry–wet rubbing fastness, and possessed a consistent hue with the samples initiated by the photoinitiator containing camphorquinone.

scholarly journals Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control

2020 ◽  
Vol 34 (04) ◽  
pp. 5339-5346
Author(s):  
Inyoung Paik ◽  
Sangjun Oh ◽  
Taeyeong Kwak ◽  
Injung Kim
Keyword(s):  
Neural Networks ◽  
Experimental Results ◽  
Effective Solution ◽  
Importance Value ◽  
Learning Rates

To address the issue of catastrophic forgetting in neural networks, we propose a novel, simple, and effective solution called neuron-level plasticity control (NPC). While learning a new task, the proposed method preserves the existing knowledge from the previous tasks by controlling the plasticity of the network at the neuron level. NPC estimates the importance value of each neuron and consolidates important neurons by applying lower learning rates, rather than restricting individual connection weights to stay close to the values optimized for the previous tasks. The experimental results on the several datasets show that neuron-level consolidation is substantially more effective compared to connection-level consolidation approaches.

A precise method of color space conversion in the digital printing process based on PSO-DBN

2022 ◽  
pp. 004051752110672
Author(s):  
Zebin Su ◽  
Jinkai Yang ◽  
Pengfei Li ◽  
Junfeng Jing ◽  
Huanhuan Zhang
Keyword(s):  
Neural Network ◽  
Color Space ◽  
Back Propagation ◽  
Optimal Solution ◽  
B Value ◽  
Digital Printing ◽  
Generalized Regression Neural Network ◽  
Color Management ◽  
Printing Process ◽  
Color Space Conversion

Neural networks have been widely used in color space conversion in the digital printing process. The shallow neural network easily obtains the local optimal solution when establishing multi-dimensional nonlinear mapping. In this paper, an improved high-precision deep belief network (DBN) algorithm is proposed to achieve the color space conversion from CMYK to L*a*b*. First, the PANTONE TCX color card is used as sample data, in which the CMYK value of the color block is used as input and the L*a*b* value is used as output; then, the conversion model from CMYK to L*a*b* color space is established by using DBN. To obtain better weight and threshold, DBN is optimized by a particle swarm optimization algorithm. Experimental results show that the proposed method has the highest conversion accuracy compared with Back Propagation Neural Network, Generalized Regression Neural Network, and traditional DBN color space conversion methods. It can also adapt to the actual production demand of color management in digital printing.

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