The Development of Three Image Quality Evaluation Metrics Based on a Comprehensive Dataset

2021 ◽  
Vol 2021 (29) ◽  
pp. 77-82
Author(s):  
Dalin Tian ◽  
Muhammad Usman Khan ◽  
Ming Ronnier Luo
Keyword(s):  
Image Quality ◽  
Large Scale ◽  
Quality Evaluation ◽  
Correlation Coefficients ◽  
Color Contrast ◽  
Quality Estimation ◽  
The Public ◽  
Color Science ◽  
Scale Experiment

In this study, a large scale experiment was carried out to assess the image quality of 2266 images using categorical judgement method by 20 observers. These images were rendered in color contrast, chroma, colorfulness, lightness, and vividness directions. The results were used to derive three No-Reference (NR) Image Quality Estimation Models (IQEMs). The first model was based on color science, (different scales in CIELAB). The second model was a Neural Network model while the third model was a statistics model based on color appearance attributes. Their performances were evaluated using two databases, those developed at Zhejiang University and those available from the public databases in terms of correlation coefficients between the objective and predicted image quality scores.

The Impact of Deregulation on the Quality of IDD Services

2001 ◽  
pp. 149-168
Author(s):  
Xu Yan ◽  
James Y.L. Thong
Keyword(s):  
Hong Kong ◽  
Large Scale ◽  
Specific Region ◽  
The Other ◽  
The Public ◽  
Telecommunications Infrastructure ◽  
Scale Experiment ◽  
Fierce Competition ◽  
The Impact

The introduction of deregulation in IDD service with effect from January 1999 triggered a round of extremely fierce competition in Hong Kong’s IDD market. In response, both the incumbent operator and the new entrants had to adopt aggressive strategies to defend or gain market share. This chapter reports on an intensive experiment of the quality of IDD services provided by the major IDD operators in Hong Kong. An innovative research methodology was designed and 240 members of the public participated in the controlled experiment. Based on 1,790 successful IDD calls to the 10 most popular destinations from Hong Kong, the IDD quality of the major operators was benchmarked. To the best of our knowledge, this was the first large-scale experiment of its kind that had ever been conducted. The experiment revealed some interesting findings. First, the monopoly control of the international gateway by the incumbent operator puts pressure on the other IDD operators to devise an appropriate strategy balancing tariffs against the quality of the IDD line. Second, when competition becomes mature, all IDD operators must place more emphasis on quality. Finally, the full benefits of quality improvement in telecommunications service in a specific region are also subject to the level of development of telecommunications infrastructure in its counterpart economies.

Precise No-Reference Image Quality Evaluation Based on Distortion Identification

2021 ◽  
Vol 17 (3s) ◽  
pp. 1-21
Author(s):  
Chenggang Yan ◽  
Tong Teng ◽  
Yutao Liu ◽  
Yongbing Zhang ◽  
Haoqian Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Image Quality ◽  
Quality Assessment ◽  
Large Scale ◽  
Quality Evaluation ◽  
Image Quality Assessment ◽  
State Of The Art ◽  
Gaussian White Noise ◽  
The State ◽  
Reference Image

The difficulty of no-reference image quality assessment (NR IQA) often lies in the lack of knowledge about the distortion in the image, which makes quality assessment blind and thus inefficient. To tackle such issue, in this article, we propose a novel scheme for precise NR IQA, which includes two successive steps, i.e., distortion identification and targeted quality evaluation. In the first step, we employ the well-known Inception-ResNet-v2 neural network to train a classifier that classifies the possible distortion in the image into the four most common distortion types, i.e., Gaussian white noise (WN), Gaussian blur (GB), jpeg compression (JPEG), and jpeg2000 compression (JP2K). Specifically, the deep neural network is trained on the large-scale Waterloo Exploration database, which ensures the robustness and high performance of distortion classification. In the second step, after determining the distortion type of the image, we then design a specific approach to quantify the image distortion level, which can estimate the image quality specially and more precisely. Extensive experiments performed on LIVE, TID2013, CSIQ, and Waterloo Exploration databases demonstrate that (1) the accuracy of our distortion classification is higher than that of the state-of-the-art distortion classification methods, and (2) the proposed NR IQA method outperforms the state-of-the-art NR IQA methods in quantifying the image quality.

Public Satisfaction of Highway Landscape Quality: A Case Study from China

2011 ◽  
Vol 460-461 ◽  
pp. 611-616
Author(s):  
Hong Jie Li ◽  
Xiao Ning Zhang
Keyword(s):  
Statistical Methods ◽  
Quality Evaluation ◽  
Validity And Reliability ◽  
Evaluation Indexes ◽  
The Public ◽  
Model Based ◽  
Landscape Quality

The research presented here constructed highway landscape quality evaluation indexes and a model based on public satisfaction. The goal was to determine if public satisfaction of highway landscape quality can be statistically measured. Several methods of highway landscape quality evaluation were first reviewed to determine what limitations were existed. From that review, a highway landscape quality evaluation indexes were selected and a model based on the selected indexes were constructed according to theory of public satisfaction. An on-site study was conducted to obtain public satisfaction of a scenic road using the selected indexes and model, statistical methods were employed to test the validity and reliability. Results indicate that the public satisfaction can reflect the quality of highway landscape, and the selected indexes can fully represent highway landscape quality.

Maturity of Social Institutions and the Questionable Foundations of Public Choice Theory

2011 ◽  
pp. 75-86
Author(s):  
P. Orekhovskiy
Keyword(s):  
Public Choice ◽  
Choice Theory ◽  
International Comparisons ◽  
Correlation Coefficients ◽  
Social Institutions ◽  
Public Choice Theory ◽  
Homo Oeconomicus ◽  
The Public ◽  
Quality Of Institutions

The last decade in Russia has been marked by an expansive growth of interest to measuring the level of institutional maturity and quality. These measurements are carried out through international comparisons, correlation coefficients between the quality of institutions and GDP are calculated. However, these estimations are mostly possible within the framework of assumptions of the public choice theory. The paper attempts to prove that this theory uses the same assumption of homo oeconomicus, as conventional microeconomics. Therefore, the public choice theory has the same shortcomings that may be attributed to the neoclassical paradigm as a whole.

Green Olympics Concept and Repeated Use of Landscape Materials

2014 ◽  
Vol 533 ◽  
pp. 195-198
Author(s):  
Xiao Jie Chen
Keyword(s):  
Environmental Protection ◽  
Large Scale ◽  
Environmental Governance ◽  
Environmental Standards ◽  
Green Consumption ◽  
The Public ◽  
Protection Technology ◽  
Repeated Use ◽  
Planning And Construction

Green Olympics is to put environmental protection as the first consideration in the planning and construction of Olympic facilities, strict environmental standards and system security system: widely used in environmental protection technology and means, the large-scale multi range to promote environmental governance, forestation and environmental protection industry development; enhance the environmental awareness of the whole society, to encourage the public to consciously choose green consumption, actively participate in various environmental improvement activities, greatly improve the environmental quality of the capital, the construction of livable city.

Image Quality of Privacy Filters for Displays

1998 ◽  
Vol 42 (22) ◽  
pp. 1565-1569
Author(s):  
Gary S. Olacsi ◽  
Joy Kempic ◽  
Robert J. Beaton
Keyword(s):  
Image Quality ◽  
Human Factors ◽  
Quality Evaluation ◽  
Optical Quality ◽  
Viewing Angle ◽  
Ambient Illumination ◽  
Subjective Image Quality ◽  
Image Quality Evaluation ◽  
Contrast Polarity

This paper presents an image quality evaluation of privacy filters for CRT display workstations. A photometric procedure was developed to evaluate the optical quality of privacy filters across horizontal display viewing angles. Then, the procedure was applied to two commercially-available privacy filter products. The results of the optical evaluation were compared with subjective image quality judgments of the privacy-filtered CRTs viewed under various ambient illumination, screen contrast polarity, and viewing angle conditions. The findings establish a human factors basis and procedure for objectively characterizing the image quality of privacy filters used on CRT displays.

Remote sensing image quality evaluation based on deep learning

2021 ◽  
pp. 1-9
Author(s):  
Tong Wang ◽  
Hemeng Yang ◽  
Ling Zhu ◽  
Yazhou Fan ◽  
Xue Yang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Image Quality ◽  
Quality Evaluation ◽  
Remote Sensing Image ◽  
Human Vision ◽  
Remote Sensing Images ◽  
Image Quality Evaluation ◽  
Remote Sensing Technology ◽  
Sensing Technology

Remote sensing technology is an effective tool for sensing the earth’s surface. With the continuous improvement of remote sensing technology, remote sensing detectors can obtain more spectral and spatial information, including clear feature contours, complex texture features and spatial layout rules. This information was detected in mineral resources. Surface substance identification, water pollution information monitoring and many other aspects have played an important role. The coding algorithm and defects, storage algorithm and interference from atmospheric cloud radiation information during the imaging process lead to varying degrees of distortion and deterioration of remote sensing images during imaging, transmission and storage. This makes it difficult to process, analyze and apply remote sensing images. Therefore, the design of a reasonable remote sensing image quality evaluation method is not only conducive to the remote sensing image quality evaluation in the real-time processing system of remote sensing image, but also conducive to the optimization of remote sensing image system and image processing algorithm. The application is worthwhile. In this paper, the deteriorating features of remote sensing images will change the statistical distribution. We propose a method for evaluating the quality of remote sensing images in depth learning. Feature learning and blurring as well as noise intensity classification for image remote sensing using convolutional neural network are carried out. The evaluation model is modified by masking effect and perceptual weighting factor, and the quality evaluation results of remote sensing images are obtained according to human vision. The research shows that this method can effectively solve the problem of removing and evaluating the noise of remote sensing image, and can effectively and accurately evaluate the quality of remote sensing image. It is also consistent with subjective assessment and human perception.

scholarly journals Predicting the Quality of Short Narratives from Social Media

2017 ◽  
Author(s):  
Tong Wang ◽  
Ping Chen ◽  
Boyang Li
Keyword(s):  
Neural Networks ◽  
Social Media ◽  
Large Scale ◽  
Computational Models ◽  
Quality Evaluation ◽  
Future Research ◽  
Automatic Evaluation ◽  
Need To Evaluate ◽  
Difficult Challenge

An important and difficult challenge in building computational models for narratives is the automatic evaluation of narrative quality. Quality evaluation connects narrative understanding and generation as generation systems need to evaluate their own products. To circumvent difficulties in acquiring annotations, we employ upvotes in social media as an approximate measure for story quality. We collected 54,484 answers from a crowd-powered question-and-answer website, Quora, and then used active learning to build a classifier that labeled 28,320 answers as stories. To predict the number of upvotes without the use of social network features, we create neural networks that model textual regions and the interdependence among regions, which serve as strong benchmarks for future research. To our best knowledge, this is the first large-scale study for automatic evaluation of narrative quality.

Supporting Quality of Service for Internet Multimedia Applications

2011 ◽  
pp. 3622-3628
Author(s):  
Yew-Hock Ang
Keyword(s):  
Quality Of Service ◽  
Large Scale ◽  
The Internet ◽  
Digital Audio ◽  
Data Traffic ◽  
Service Model ◽  
The Past ◽  
Ip Multicasting ◽  
Scale Experiment

The Internet has gone from near-invisibility to near-ubiquity and penetrated into every aspect of society in the past decades (Department of Commerce, 1998). The application scenarios have also changed dramatically, and now demand a more sophisticated service model from the network. In the early 1990s, there was a large-scale experiment in sending digitized voice and video across the Internet through a packetswitched infrastructure (Braden, Clark, & Shenker, 1994). These highly-visible experiments have depended upon three enabling technologies: (1) Many modern workstations now come equipped with built-in multimedia hardware, (2) IP multicasting, which was not yet generally available in commercial routers, and (3) Highly-sophisticated digital audio and video applications have been developed. It became clear from these experiments that an important technical element of the Internet is still missing: multimedia, which dominate increasing proportion of today’s data traffic, are not well supported on the Internet.

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