scholarly journals Generation of the contrast structure found in "Nausicaa of the Valley of the Wind" as the animation version

2016 ◽  
Vol 2016 (26) ◽  
pp. 518-528
Author(s):  
Noriaki Ohgita
Keyword(s):  
Contrast Structure

Accounts of consent: Orienting to self-other relations regarding motivations to participate in cancer bio-banking

2015 ◽  
Vol 11 (1) ◽  
pp. 69-84 ◽  
Author(s):  
Hannah Shipman ◽  
Srikant Sarangi ◽  
Angus J. Clarke
Keyword(s):  
Reflective Practice ◽  
Extreme Case ◽  
The Self ◽  
Case Formulation ◽  
Contrast Structure ◽  
Self And Other ◽  
Clinical Encounters ◽  
Rhetorical Discourse ◽  
Motivation To Participate ◽  
Significant Factors

The motivations of those who give consent to bio-banking research have received a great deal of attention in recent years. Previous work draws upon the notion of altruism, though the self and/or family have been proposed as significant factors. Drawing on 11 interviews with staff responsible for seeking consent to cancer bio-banking and 13 observations of staff asking people to consent in routine clinical encounters, we investigate how potential participants are oriented to, and constructed as oriented to, self and other related concerns (Author 2007). We adopt a rhetorical discourse analytic approach to the data and our perspective can be labelled as ‘ethics-in-interaction’. Using analytic concepts such as repetition, extreme case formulation, typical case formulation and contrast structure, our observations are three-fold. Firstly, we demonstrate that orientation to ‘general others’ in altruistic accounts and to ‘self’ in minimising burden are foregrounded in constructions of motivation to participate in cancer bio-banking across the data corpus. Secondly, we identify complex relational accounts which involve the self as being more prominent in the consent encounter data where the staff have a nursing background whereas ‘general others’ feature more when the staff have a scientific background. Finally, we suggest implications based on the disparities between how participants are oriented in interviews and consent encounters which may have relevance for developing staff’s reflective practice.

scholarly journals No-Reference Blurred Image Quality Assessment by Structural Similarity Index

2018 ◽  
Vol 8 (10) ◽  
pp. 2003 ◽  
Author(s):  
Haopeng Zhang ◽  
Bo Yuan ◽  
Bo Dong ◽  
Zhiguo Jiang
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
State Of The Art ◽  
Similarity Index ◽  
Structural Similarity ◽  
Luminance Contrast ◽  
Structural Similarity Index ◽  
Contrast Structure ◽  
Blurred Image

No-reference (NR) image quality assessment (IQA) objectively measures the image quality consistently with subjective evaluations by using only the distorted image. In this paper, we focus on the problem of NR IQA for blurred images and propose a new no-reference structural similarity (NSSIM) metric based on re-blur theory and structural similarity index (SSIM). We extract blurriness features and define image blurriness by grayscale distribution. NSSIM scores an image quality by calculating image luminance, contrast, structure and blurriness. The proposed NSSIM metric can evaluate image quality immediately without prior training or learning. Experimental results on four popular datasets show that the proposed metric outperforms SSIM and well-matched to state-of-the-art NR IQA models. Furthermore, we apply NSSIM with known IQA approaches to blurred image restoration and demonstrate that NSSIM is statistically superior to peak signal-to-noise ratio (PSNR), SSIM and consistent with the state-of-the-art NR IQA models.

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