scholarly journals Review of Standard Sound Quality Assessment Methods for the Transmitted and Processed Sounds

2013 ◽  
Vol 32 (3) ◽  
pp. 214-226
Author(s):  
Wongeun Oh
Keyword(s):  
Quality Assessment ◽  
Sound Quality ◽  
Assessment Methods

Overview on Image Quality Assessment Methods

2010 ◽  
Vol 2010 (1) ◽  
pp. 219-226 ◽  
Author(s):  
Gang-yi Jiang ◽  
Da-jiang Huang ◽  
Xu Wang ◽  
Mei Yu
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Assessment Methods

Quality Assessment of Medical Research and Education

1992 ◽  
Vol 8 (3) ◽  
pp. 479-489
Author(s):  
Håkan Eriksson
Keyword(s):  
Medical Research ◽  
Quality Assessment ◽  
Assessment Methods ◽  
Potential Problems ◽  
Research And Education

AbstractDifferent aspects of the process of evaluating research and education are discussed, using the discipline of medicine as a model. The focus is primarily on potential problems in the design of an evaluation. The most important aspects of an assessment are: to create confidence in the evaluation among scientists and/or teachers who are being assessed before beginning; to find experts for whom the scientists and/or teachers have professional respect; to choose assessment methods in relation to the focus, level, and objectives of the evaluation; and to make the report of the evaluation's findings short and explicit.

scholarly journals No-reference Automatic Quality Assessment for Colorfulness-Adjusted, Contrast-Adjusted, and Sharpness-Adjusted Images Using High-Dynamic-Range-Derived Features

2018 ◽  
Vol 8 (9) ◽  
pp. 1688 ◽  
Author(s):  
Jinseong Jang ◽  
Hanbyol Jang ◽  
Taejoon Eo ◽  
Kihun Bang ◽  
Dosik Hwang
Keyword(s):  
Quality Assessment ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Assessment Methods ◽  
Reference Image ◽  
Range Images ◽  
Automatic Assessment ◽  
Visual Preference ◽  
Subjective Evaluations ◽  
High Dynamic

Image adjustment methods are one of the most widely used post-processing techniques for enhancing image quality and improving the visual preference of the human visual system (HVS). However, the assessment of the adjusted images has been mainly dependent on subjective evaluations. Also, most recently developed automatic assessment methods have mainly focused on evaluating distorted images degraded by compression or noise. The effects of the colorfulness, contrast, and sharpness adjustments on images have been overlooked. In this study, we propose a fully automatic assessment method that evaluates colorfulness-adjusted, contrast-adjusted, and sharpness-adjusted images while considering HVS preferences. The proposed method does not require a reference image and automatically calculates quantitative scores, visual preference, and quality assessment with respect to the level of colorfulness, contrast, and sharpness adjustment. The proposed method evaluates adjusted images based on the features extracted from high dynamic range images, which have higher colorfulness, contrast, and sharpness than that of low dynamic range images. Through experimentation, we demonstrate that our proposed method achieves a higher correlation with subjective evaluations than that of conventional assessment methods.

Sound Quality Assessment of Powered Seat Adjusters

1995 ◽  
Author(s):  
Gabriella Cerrato ◽  
Alun Crewe ◽  
John Terech
Keyword(s):  
Quality Assessment ◽  
Sound Quality

scholarly journals THE QUALITY ASSESSMENT METHODS OF TEACHING IN CZECH REPUBLIC

2019 ◽  
Vol VII (2) ◽  
Author(s):  
Jana Marie Šafránková ◽  
Jana Coufalová ◽  
Martin Šikýř
Keyword(s):  
Czech Republic ◽  
Quality Assessment ◽  
Assessment Methods
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