An objective assessment method of digital image mosaic artifacts visibility based on visual perception

2010 ◽  
Author(s):  
Hongsheng Yu ◽  
Weiqi Jin ◽  
Xiusheng Liu
Keyword(s):  
Visual Perception ◽  
Digital Image ◽  
Objective Assessment ◽  
Assessment Method ◽  
Image Mosaic

Study on the Assessment Method of Print Mottle Using Discrete Wavelet Analysis

2012 ◽  
Vol 262 ◽  
pp. 177-180
Author(s):  
Guo Dong Liu ◽  
Mei Yun Zhang ◽  
Qiao Ping Liang
Keyword(s):  
Visual Perception ◽  
Wavelet Analysis ◽  
Digital Image ◽  
Evaluation Method ◽  
Assessment Method ◽  
Discrete Wavelet ◽  
Print Quality ◽  
Visual Evaluation ◽  
Discrete Wavelet Analysis ◽  
Common Problems

Aiming at one of most common problems of print quality, print mottle, the evaluation method for print mottle is proposed by means of discrete wavelet analysis, in which the index of print mottle is built on the base of the coefficient of variance of denosing digital image. Then, it was applied on offset paper to check its performance. The analytical results compared with visual perception shows that the assessment method proposed is effective and practical in measuring printing mottle. The correlations with visual evaluation are over 0.76.

scholarly journals Regular Physical Activity and Risk of Venous Thromboembolism

2018 ◽  
Vol 44 (08) ◽  
pp. 765-779 ◽  
Author(s):  
Sigrid Brækkan ◽  
John-Bjarne Hansen ◽  
Line Evensen
Keyword(s):  
Physical Activity ◽  
Venous Thromboembolism ◽  
Current Knowledge ◽  
Objective Assessment ◽  
Operational Definition ◽  
Assessment Method ◽  
Health Concern ◽  
Future Research ◽  
Dependent Manner

AbstractVenous thromboembolism (VTE) is a complex multifactorial disease that represents a growing public health concern. Identification of modifiable risk factors at the population level may provide a measure to reduce the burden of VTE. In this review, we summarize current knowledge of the role of physical activity on the risk of VTE and VTE-related complications. We also discuss methodological challenges related to research on physical activity, and put forward plausible mechanisms for an association between physical activity and VTE. Up to now, published studies have reported diverging results on the relationship between physical activity and VTE, and a complex picture has emerged. However, the available evidence appears to be balanced toward a small beneficial effect of physical activity on the risk of incident VTE, but not in a dose-dependent manner. Still, the lack of an operational definition and standardized assessment method for physical activity, as well as several sources of bias, impairs the interpretation of the available literature. Additional work is necessary to understand the role and how to apply physical activity in the VTE setting. Future research should utilize objective assessment strategies of physical activity and physical fitness, account for the fluctuating nature in habitual activity levels, and explore the role of physical activity in the areas of secondary prevention and VTE-related complications.

scholarly journals Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Hamid A. Jalab ◽  
Rabha W. Ibrahim
Keyword(s):  
Visual Perception ◽  
Integral Operator ◽  
Image Denoising ◽  
Digital Image ◽  
Fractional Integral ◽  
Fractional Integral Operator ◽  
Smoothing Filter ◽  
Generalized Fractional Integral ◽  
Two Parameters

In this paper, a novel digital image denoising algorithm called generalized fractional integral filter is introduced based on the generalized Srivastava-Owa fractional integral operator. The structures ofn×nfractional masks of this algorithm are constructed. The denoising performance is measured by employing experiments according to visual perception and PSNR values. The results demonstrate that apart from enhancing the quality of filtered image, the proposed algorithm also reserves the textures and edges present in the image. Experiments also prove that the improvements achieved are competent with the Gaussian smoothing filter.

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