scholarly journals Neugebauer Models for Color Error Diffusion Halftoning

2020 ◽  
Vol 6 (4) ◽  
pp. 23
Author(s):  
Kaiming Wu ◽  
Kohei Inoue ◽  
Kenji Hara
Keyword(s):  
Natural Extension ◽  
Design Criterion ◽  
Diffusion Method ◽  
Error Diffusion ◽  
Blue Color ◽  
Color Design ◽  
Color Version ◽  
Model Based ◽  
Color Error ◽  
Better Than

In this paper, we propose a method for halftoning color images based on an error diffusion technique, a color design criterion and Neugebauer models for expressing colors. For a natural extension of the conventional method for grayscale error diffusion to its color version, we first reformulate grayscale error diffusion with a one-dimensional Neugebauer model. Then we increase the dimension of the model to derive a color error diffusion method based on a three-dimensional Neugebauer model in RGB (red, green and blue) color space. Moreover, we propose a sparse Neugebauer model based on a color design criterion, or the minimal brightness variation criterion (MBVC), from which we derive a sparse Neugebauer model-based error diffusion method. Experimental results show that color halftone images produced by the proposed methods preserve the color contents in original continuous-tone images better than that by conventional color error diffusion methods. We also demonstrate that the proposed sparse method reduce halftone noise better than the state-of-the-art method based on MBVC.

scholarly journals An Improved Image Denoising Model Based on Nonlocal Means Filter

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Yan Jin ◽  
Wenyu Jiang ◽  
Jianlong Shao ◽  
Jin Lu
Keyword(s):  
Image Denoising ◽  
Natural Images ◽  
Nonlocal Means ◽  
New Model ◽  
Model Based ◽  
Better Than

The nonlocal means filter plays an important role in image denoising. We propose in this paper an image denoising model which is a suitable improvement of the nonlocal means filter. We compare this model with the nonlocal means filter, both theoretically and experimentally. Experiment results show that this new model provides good results for image denoising. Particularly, it is better than the nonlocal means filter when we consider the denoising for natural images with high textures.

scholarly journals Input-level-dependent approach to color error diffusion

2003 ◽  
Author(s):  
Vishal Monga ◽  
Niranjan Damera-Venkata ◽  
Brian L. Evans
Keyword(s):  
Error Diffusion ◽  
Color Error ◽  
Input Level

Green synthesis, characterization and antimicrobial activities of Copper nanoparticles from the rhizomes extract of Picrorhiza kurroa

2021 ◽  
Vol 09 ◽  
Author(s):  
Vinit Prakash ◽  
Anjana Kumari ◽  
Harpreet Kaur ◽  
Manoj Kumar ◽  
Sumeet Gupta ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Copper Nanoparticles ◽  
Antimicrobial Activities ◽  
Diffusion Method ◽  
Spectral Studies ◽  
Blue Color ◽  
Picrorhiza Kurroa ◽  
Fungal Strains ◽  
Gastrointestinal Problems ◽  
Hydroethanolic Extract

Background: Green synthesized nanoparticles from the solvent extract of various plant parts show better biological activities as compared to parent solvent plant extract. Traditionally rhizomes of Picrorhiza kurroa are used to cure various diseases like diarrhea, fever, jaundice, eye infection, skin problems, asthma, arthritis, cancer, diabetes, gastrointestinal problems. Objectives: Present study describes the synthesis of copper nanoparticles from a hydroethanolic extract of P. kurroa rhizomes (CuNPs-Pk) and their evaluation for antimicrobial activities against gram-negative, gram-positive bacterial, and fungal strains. Methods: The solution of copper sulfate and hydroethanolic extract of rhizomes of P. kurroa was mixed with help of a magnetic stirrer at 60°C temperature for 1 h. The blue color of CuSO4.5H2O changed to brownish-black colored copper nanoparticles within 10 minutes. These nanoparticles were centrifuged at 4000 rpm for 20 min, washed with ethanol, followed by deionized water, dried, and were characterized by Ultra violet–visible (UV-Vis) absorption spectra, Fourier transform infrared spectroscopy (FTIR), Field emission scanning electron microscopy (SEM) and high-resolution transmission electron microscopy (TEM). Different concentrations of hydroethanolic extract of Picrorhiza kurroa rhizomes (HEEPk), CuNPs-Pk and copper oxide nanoparticles (bare CuO) ranging from 100-400 ppm had been studied against selected bacterial and fungal strains by using the well plate diffusion method. Ciprofloxin and fluconazole were used as standard and Dimethyl sulfoxide (DMSO) as a control for selected strains. Results: The UV–Vis spectral studies confirmed the surface plasmon resonance of green-synthesized CuNPs-Pk. The particle size was found to be 275-285 nm. FTIR analysis of biosynthesis nanoparticles have been confirm the presence of various functional groups (flavonoids, glycosides, tannins, phenols). SEM and TEM of biosynthesized nanoparticles have predicted their spheric al shape and their size (20-40 nm) and These particles have shown effective antimicrobial activities against selected pathogenic organisms viz. Escherichia coli, Staphylococcus aureus, and Aspergillus niger than that of HEEPk and bare CuO. Conclusions: The CuNPs-Pk show effective antimicrobial activities against bacterial and fungal pathogens as compared to HEEPk and bare CuO.

scholarly journals Guest-induced fluorescence property of macrocyclic boronic ester

2014 ◽  
Vol 70 (a1) ◽  
pp. C672-C672
Author(s):  
Haruki Sugiyama ◽  
Kohei Johmoto ◽  
Hidehiro Uekusa ◽  
Yuji Kikuchi ◽  
Hiroki Takahagi ◽  
...  
Keyword(s):  
Crystal Packing ◽  
Uv Light ◽  
Condensation Reaction ◽  
Fluorescence Property ◽  
Channel Structure ◽  
Diffusion Method ◽  
Blue Color ◽  
Guest Molecules ◽  
One Dimensional ◽  
Naphthalene Molecule

Macrocyclic boronic esters (1) are obtained as a self-assembled molecule by condensation reaction between rac-tetrol (2) and 1,4-naphthalenediboronic acid (3) in the presence of toluene molecule [1]. In the crystal, this macrocyclic molecules form a charasteristic one dimensional channel structure that accommodates various small molecules. Interestingly, reversible desorption / absorption phenomena of guest molecules is observed without significant crystal packing change, meaning this crystal may have guest storage, separation, and catalytic abilities. In the course of exploring further functional aspects of the molecule, we give fluorescence property to this crystal by inclusion of acene molecules into this robust one dimensional channel structure. Naphthalene inclusion crystal was obtained by the diffusion method. The crystal structure is isostructural to known crystals, that is, a naphthalene molecule is included in a channel and sandwiched by two naphthalene moieties of the macrocyclic molecule (inter planar distance is about 3.6 angstrom). Under UV light, a blue color fluorescence observed in this crystal, suggesting the guest naphthalene molecule contributes the fluorescence property. After heating by 200 degrees C, the naphthalene was released to leave isostructural apohost crystal without fluorescence property. However, by naphthalene vapor exposure to the apohost crystal, the fluorescence property was recovered, which means naphthalene desorption and absorption are possible in crystalline state. Moreover Anthracene and Tetracene inclusion crystal were obtained, and they also showed light blue and yellow color fluorescence under UV light, respectively. Thus, the fluorescence function was successfully realized by inclusion of acene molecule in the one dimensional channel of the crystals, and furthermore the fluorescent color can be controlled by changing acene molecules.

scholarly journals Safety Risk Assessment of Tourism Management System Based on PSO-BP Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Wenru Guo
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Management System ◽  
Evaluation Model ◽  
Risk Index ◽  
Security Risk ◽  
Bp Network ◽  
Model Based ◽  
Tourism Management ◽  
Better Than

With the development of science and technology, system management is gradually applied to tourism management. How to correctly assess the security risks of the tourism management system has become an important means to maintain passenger information. The security risk index of the travel management system is input into the PSO-BP network as a sample, and the corresponding risk value of the index is used as the network output. The results show that the error results, accuracy (96.53%), training time (216 s), number of iterations (275 times), and convergence speed are all better than traditional BP network. The relative error of PSO-BP network (0.32%) is better than that of BP network, with 300 iterations, and the error is close to 10–5. The average evaluation accuracy of S based on PSO-BP network is 99.72%, and the average time consumed is 2.512 s. It is superior to the evaluation model based on fuzzy set and entropy weight theory and the evaluation model based on gray correlation analysis and radial basis function neural network. In conclusion, the security risk assessment of the tourism management system based on PSO-BP network can effectively assess the security risk of the tourism management system.

World-Centered Value

2018 ◽  
pp. 31-50
Author(s):  
Jamie Dreier
Keyword(s):  
Ethical Theory ◽  
Natural Extension ◽  
Better Than

This chapter deals with the concept “world-centered value” which seems to be a natural extension of some concepts that already exist in ethical theory and also seems useful for understanding some confusing ideas (about the representation of prohibition dilemmas or about apparent failures of transitivity of “better than”) in the work of other philosophers. The chapter explains that concept and employs it to explicate the confusing ideas. If the concept makes sense, and if it can be useful in understanding the ideas by placing them in the consequentialist framework, then world-centered value earns its keep and should find a place next to agent-centered and time-centered value in the ethical theorist’s toolbox.

Research of Improved Minnaert Topographic Correction Model and Application

2014 ◽  
Vol 543-547 ◽  
pp. 2780-2783
Author(s):  
Yan Zhen Wu ◽  
Zuo Cheng Wang ◽  
Fu Pin Yang ◽  
Xiao Bo Luo
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Remote Sensing Images ◽  
Topographic Correction ◽  
Correction Model ◽  
Model Based ◽  
Effective Factor ◽  
Quantitative Remote Sensing ◽  
Scs Model ◽  
Better Than

The topographic correction of remote sensing images is an important factor to improve the precision of quantitative remote sensing data processing. In the existing topographic correction models,the Minnaert model is the only model based on the assumption of non-Lambertian.the Minnaert coefficient K is an effective factor for the correction results. To improve the correction accuracy,we correct the image in accordance with the slope grading idea to select different areas from the image, then use different k values in different slope regions.In this paper, the topography correction is efficiently corrected by SCS model, Minnaert model and improved Minnaert model, based on HJCCD image and the corresponding DEM in Heihe . The results showed that the improved Minnaert model can eliminate the effect of topography better than other methods and can be widely used.

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