scholarly journals Vector-valued image regularization with PDE's: a common framework for different applications

2003 ◽  
Author(s):  
D. Tschumperle ◽  
R. Deriche
Keyword(s):  
Image Regularization ◽  
Common Framework ◽  
Vector Valued

scholarly journals A Color Elastica Model for Vector-Valued Image Regularization

2021 ◽  
Vol 14 (2) ◽  
pp. 717-748
Author(s):  
Hao Liu ◽  
Xue-Cheng Tai ◽  
Ron Kimmel ◽  
Roland Glowinski
Keyword(s):  
Image Regularization ◽  
Vector Valued

Assessing Potential Herb-Drug Interactions Using a Common Framework Approach: Boswellia serrata as a Case Study

Planta Medica ◽  
2016 ◽  
Vol 82 (05) ◽  
Author(s):  
AL Roe ◽  
C Black ◽  
K Brouwer ◽  
J Jackson ◽  
FB Jariwala ◽  
...  
Keyword(s):  
Drug Interactions ◽  
Boswellia Serrata ◽  
Framework Approach ◽  
Common Framework

A New Model of Man in Economics

2011 ◽  
pp. 78-98
Author(s):  
M. Storchevoy
Keyword(s):  
Behavioral Economics ◽  
Human Behavior ◽  
Social Factors ◽  
Rational Behavior ◽  
New Model ◽  
Common Framework

The paper draws on the most recent research in the field of behavioral economics, neuroscience, and other disciplines and shows how biological and social factors interact and co-determine real human behavior. The author considers in detail various affects and forms of non-rational behavior. He proposes a common framework for such analysis, where each of those forms of behavior becomes the result of conscious or evolutionary-driven choice.

Creating a local food procurement community of practice: The Alberta Flavour Learning Lab

2019 ◽  
Vol 6 (1) ◽  
pp. 155-169 ◽  
Author(s):  
Mary Anne Beckie ◽  
Leanne Hedberg ◽  
Jessie Radies
Keyword(s):  
Community Of Practice ◽  
Large Scale ◽  
Food System ◽  
Local Food ◽  
Provincial Government ◽  
Local Foods ◽  
Social Infrastructure ◽  
City Region ◽  
Physical Scale ◽  
Common Framework

In order for local food initiatives (LFIs) to have a transformative effect on the larger food system, greater levels of economic, organizational and physical scale are needed. One way for LFIs to reach the scale necessary to generate a more significant impact is through increased institutional procurement of local foods. But how do people and organizations come together to generate the social infrastructure required to shift food purchasing practices and processes? This field report shares the story of an innovative community of practice consisting of institutional food buyers, large-scale distributors, regional retailers, processors, producers, researchers, municipal and provincial government representatives within the Edmonton city-region that formed for the express purpose of “creating a positive community impact by getting more local foods on more local plates”. In describing the formation and first three years of the Alberta Flavour Learning Lab we examine the unique characteristics of this community of practice that has aided the development of a common framework for learning, understanding and joint action. In addition to the accomplishments to date, we also discuss the challenges faced by the Learning Lab and the strategies used to overcome them.  

Evaluvation of Multiresolution Watermarking Algorithm

2017 ◽  
Vol 7 (8) ◽  
pp. 85
Author(s):  
S. Thabasu Kannan ◽  
S. Azhagu Senthil
Keyword(s):  
Digital Watermarking ◽  
Wavelet Transformation ◽  
Signal To Noise Ratio ◽  
Rapid Development ◽  
Threshold Value ◽  
Discrete Wavelet ◽  
Digital Production ◽  
Common Framework ◽  
Sampling Operation ◽  
Watermarking Scheme

Now-a-days watermarking plays a pivotal role in most of the industries for providing security to their own as well as hired or leased data. This paper its main aim is to study the multiresolution watermarking algorithms and also choosing the effective and efficient one for improving the resistance in data compression. Computational savings from such a multiresolution watermarking framework is obvious. The multiresolutional property makes our watermarking scheme robust to image/video down sampling operation by a power of two in either space or time. There is no common framework for multiresolutional digital watermarking of both images and video. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing.   The rapid development of Internet introduces a new set of challenging problems regarding security. One of the most significant problems is to prevent unauthorized copying of digital production from distribution. Digital watermarking has provided a powerful way to claim intellectual protection. We proposed an idea for enhancing the robustness of extracted watermarks. Watermark can be treated as a transmitted signal, while the destruction from attackers is regarded as a noisy distortion in channel.  For the implementation, we have used minimum nine coordinate positions. The watermarking algorithms to be taken for this study are Corvi algorithm and Wang algorithm. In all graph, we have plotted X axis as peak signal to noise ratio (PSNR) and y axis as Correlation with original watermark. The threshold value ά is set to 5. The result is smaller than the threshold value then it is feasible, otherwise it is not.

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