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No-reference noisy image quality assessment incorporating features of entropy, gradient, and kurtosis Research Article

Heng Yao, Ben Ma, Mian Zou, Dong Xu, Jincao Yao,hyao@usst.edu.cn,xudong@zjcc.org.cn,yaojc@zjcc.org.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12,   Pages 1551-1684 doi: 10.1631/FITEE.2000716

Abstract: Noise is the most common type of image distortion affecting human visual perception. In this paper, we propose a no-reference image quality assessment (IQA) method for noisy images incorporating the features of entropy, gradient, and . Specifically, image is conducted in the discrete cosine transform domain based on skewness invariance. In the principal component analysis domain, feature is obtained by statistically counting the significant differences between images with and without noise. In addition, both the consistency between the entropy and features and the subjective scores are improved by combining them with the gradient coefficient. is applied to map all extracted features into an integrated scoring system. The proposed method is evaluated in three mainstream databases (i.e., LIVE, TID2013, and CSIQ), and the results demonstrate the superiority of the proposed method according to the Pearson linear correlation coefficient which is the most significant indicator in IQA.

Keywords： 噪声图像质量评价；噪声估计；峰度；人类视觉系统；支持向量回归    

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Image quality assessmentmethod based on nonlinear feature extraction in kernel space Article

Yong DING,Nan LI,Yang ZHAO,Kai HUANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10,   Pages 1008-1017 doi: 10.1631/FITEE.1500439

Abstract: To match human perception, extracting perceptual features effectively plays an important role in image quality assessment. In contrast to most existing methods that use linear transformations or models to represent images, we employ a complex mathematical expression of high dimensionality to reveal the statistical characteristics of the images. Furthermore, by introducing kernel methods to transform the linear problem into a nonlinear one, a full-reference image quality assessment method is proposed based on high-dimensional nonlinear feature extraction. Experiments on the LIVE, TID2008, and CSIQ databases demonstrate that nonlinear features offer competitive performance for image inherent quality representation and the proposed method achieves a promising performance that is consistent with human subjective evaluation.

Keywords： Image quality assessment     Full-reference method     Feature extraction     Kernel space     Support vector regression    

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Amultimodal dense convolution network for blind image quality assessment Research Article

Nandhini CHOCKALINGAM, Brindha MURUGAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1601-1615 doi: 10.1631/FITEE.2200534

Abstract: Technological advancements continue to expand the communications industry’s potential. Images, which are an important component in strengthening communication, are widely available. Therefore, image quality assessment (IQA) is critical in improving content delivered to end users. Convolutional neural networks (CNNs) used in IQA face two common challenges. One issue is that these methods fail to provide the best representation of the image. The other issue is that the models have a large number of parameters, which easily leads to overfitting. To address these issues, the dense convolution network (DSC-Net), a model with fewer parameters, is proposed for . Moreover, it is obvious that the use of multimodal data for has improved the performance of applications. As a result, fuses the texture features extracted using the gray-level co-occurrence matrix (GLCM) method and spatial features extracted using DSC-Net and predicts the image quality. The performance of the proposed framework on the benchmark synthetic datasets LIVE, TID2013, and KADID-10k demonstrates that the MDSC-Net approach achieves good performance over state-of-the-art methods for the NR-IQA task.

Keywords： No-reference image quality assessment (NR-IQA)     Blind image quality assessment     Multimodal dense convolution network (MDSC-Net)     Deep learning     Visual quality     Perceptual quality    

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Adaptive compression method for underwater images based on perceived quality estimation Regular Papers

Ya-qiong CAI, Hai-xia ZOU, Fei YUAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 716-730 doi: 10.1631/FITEE.1700737

Abstract:

Underwater image compression is an important and essential part of an underwater image transmission system. An assessment and prediction method of effectively compressed image quality can assist the system in adjusting its compression ratio during the image compression process, thereby improving the efficiency of the image transmission system. This study first estimates the perceived quality of underwater image compression based on embedded coding compression and compressive sensing, then builds a model based on the mapping between image activity measurement (IAM) and bits per pixel and structural similarity (BPP-SSIM) curves, next obtains model parameters by linear fitting, and finally predicts the perceived quality of the image compression method based on IAM, compression ratio, and compression strategy. Experimental results show that the model can effectively fit the quality curve of underwater image compression. According to the rules of parameters in this model, the perceived quality of underwater compressed images can be estimated within a small error range. The presented method can effectively estimate the perceived quality of underwater compressed images, balance the relationship between the compression ratio and compression quality, reduce the pressure on the data cache, and thus improve the efficiency of the underwater image communication system.

Keywords： Underwater image compression     Set partitioning in hierarchical trees     Compressive sensing     Compression quality estimation    

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Learning-based parameter prediction for quality control in three-dimensional medical image compression Research Articles

Yuxuan Hou, Zhong Ren, Yubo Tao, Wei Chen,3140104190@zju.edu.cn,renzhong@cad.zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1169-1178 doi: 10.1631/FITEE.2000234

Abstract: is of vital importance in compressing three-dimensional (3D) medical imaging data. Optimal compression parameters need to be determined based on the specific quality requirement. In , regarded as the state-of-the-art compression tool, the quantization parameter (QP) plays a dominant role in controlling quality. The direct application of a video-based scheme in predicting the ideal parameters for 3D cannot guarantee satisfactory results. In this paper we propose a parameter prediction scheme to achieve efficient . Its kernel is a support vector regression (SVR) based learning model that is capable of predicting the optimal QP from both video-based and structural image features extracted directly from raw data, avoiding time-consuming processes such as pre-encoding and iteration, which are often needed in existing techniques. Experimental results on several datasets verify that our approach outperforms current video-based methods.

Keywords： 医学图像压缩；高效视频编码（HEVC）；质量控制；基于学习方法    

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Study on Quality Evaluation of Domestic Agricultural Machinery Equipment: An Analysis Based on the Farmer Survey Data from Central China

Zhou Jing, Qing Ping

Strategic Study of CAE 2019, Volume 21, Issue 5,   Pages 60-66 doi: 10.15302/J-SSCAE-2019.05.019

Abstract:

Improving the quality of domestic agricultural machinery is crucial for China's agricultural machinery manufacturing to become stronger. This study summarizes the status quo and existing problems of agricultural machinery manufacturing in China and focuses on empirical study. Based on the data collected from farmer surveys in Central China, farmers' subjective evaluation on the quality of domestic agricultural machinery is investigated from the aspects of hardware quality, applicability and operation convenience, as well as operation effect of the machinery. The results suggest that farmers' satisfaction with steel quality, engine quality, fuel consumption, and failure frequency of domestic large- and medium-sized agricultural machinery is significantly lower than that of non-domestic agricultural machinery. Less than half of these farmers are satisfied with the machine–land matching degree, machine–driver matching degree, and shading and rainproof effect of both domestic and non-domestic machinery. Moreover, their satisfaction with the operating speed, operating coverage, and factor (i.e., water, fertilizer, pesticide, and seed) saving effect of domestic agricultural machinery is low. To this end, countermeasures are proposed to improve the quality of domestic agricultural machinery, including building a national team to overcome technical difficulties in key components, establishing a long-term and enterprisecentered innovation system, optimizing the research and development of intellectualized and eco-friendly agricultural machinery, and reconstructing the discipline system for agricultural machinery in universities.

Keywords： domestic agricultural machinery     quality evaluation     farmer survey     Central China    

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Study on Index System for ManufacturingQuality Power

Zheng Liwei,Zhang Gang,Jiang Jiadong and Wang Yunsong

Strategic Study of CAE 2015, Volume 17, Issue 7,   Pages 76-75

Abstract:

The article has established an index system for manufacturing quality power, covering three dimensions: quality safety, quality development and quality infrastructure, and including 11 indicators. In the empirical study, we compared the product quality among China and several other countries, and analyzed the trend of the quality development of the products made in China. It indicated that after a rapid growth, the quality improvement of the products made in China become slower due to the global financial crisis. Although the quality of the products made in China had competitive advantages compared with the products made in emerging manufacturing countries, there was a lag of the product safety compared with the developed countries.

Keywords： manufacturing power     quality evaluation     index system    

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The water quality evaluation of the Dalinuoer Lake based on fuzzy comprehensive evaluation method

Zhang Sheng,Li Changyou,Liang Xizhen,Shi Xiaohong

Strategic Study of CAE 2010, Volume 12, Issue 6,   Pages 28-31

Abstract:

Through investigation and onitoring to urban landscape waters―Shichaqianhai and Roma Lake, water quality and habitat raits of typical landscape waters in Beijing were analyzed. The differences of transparency in wo lakes were discussed. The results show that, transparency of Shichaqianhai arrives at 70 cm, nd that of Roma Lake is 27 cm, which is because of different phosphorous concentration in two andscape waters. Therefore, phosphorous concentration is a key factor to keep aquatic ecosystem ealth in urban landscape waters.

Keywords： urban landscape waters     Shichaqianhai     Rome Lake     ontamination characteristics    

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The questionnaire analysis of quality index and factors of Chinese railway survey and design

Xie Hongtao,Chen Fan

Strategic Study of CAE 2011, Volume 13, Issue 4,   Pages 96-100

Abstract:

In order to deeply understand the present situation and the main influencing factors of Chinese railway survey and design market, the questionnaire investigation was conducted. The descriptive statistics analysis, frequency analysis, correlation analysis and factor analysis have been adopted in data analysis. The status and main questions of Chinese railway survey and design market was described through the questionnaire analysis. The main influencing factors of Chinese railway survey and design market were discussed, and the corresponding countermeasures were proposed.

Keywords： survey and design     quality evaluation     competition mechanism     main ingredients     correlation analysis    

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The Interval Extension Assessment Method of Water Environmental Quality and Its Application

Hu Baoqing

Strategic Study of CAE 2001, Volume 3, Issue 6,   Pages 53-56

Abstract:

On the basis of IR distance this paper gives out IR extension assessment method and its application to water environmental quality assessment. This method solves assessment problems while quantity of assessed matter-element is an interval number produced by a variety of uncertainty.

Keywords： IR distance     IR correlative function     IR extension assessment    

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Quality Infrastructure for the New Material Industry

Chen Ming, Wang Mao, Yang Zhigang, Li Mengqi, Tang Yuhang, Wang Yang, Wang Peng

Strategic Study of CAE 2020, Volume 22, Issue 5,   Pages 137-143 doi: 10.15302/J-SSCAE-2020.05.017

Abstract:

The quality infrastructure—with evaluation, characterization, and standards as its basic elements—plays an important role in supporting industrial transformation and upgrade, promoting technological innovation, improving production efficiency, ensuring product quality, and enhancing industrial international competitiveness. Meanwhile, the acceleration of new material innovations has expanded the scale of the industry and increased the types and supply of new materials, which proposes new requirements for the industrial quality infrastructure. In this article, we analyze the importance of evaluation, characterization, and standards for the development of the new materials industry and summarize the development status of the quality infrastructure in China. Currently, a technical system has been primarily formed for the new material industry in China and has greatly supported industrial innovation. China has also made progresses in internationalization in terms of assessment, characterization, and standardization of the new material industry. However, China’s quality infrastructure for new materials is still underdeveloped in terms of overall level and technological innovative ability in key areas; and its internationalization progress can hardly meet industrial requirements. Therefore, an assessment–characterization–standards platform is demonstrated and analyzed for the new material industry in China. Correspondingly, we suggestthat the top-level design of the quality infrastructure should be strengthened, an “evaluation–characterization–standards” one-stop service mode promoted, independent brands developed regarding certification, testing, and standards, and administrative agencies encouraged to adopt the evaluation results.

Keywords： new material     industry     quality infrastructure     evaluation     characterization     standards    

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High-Quality Development of China's Coal Industry

Kang Hongpu, Wang Guofa, Wang Shuangming, Liu Jianzhong, Ren Shihua, Chen Peipei, Qin Rongjun, Pang Yihui, Qu Yang

Strategic Study of CAE 2021, Volume 23, Issue 5,   Pages 130-138 doi: 10.15302/J-SSCAE-2021.05.016

Abstract:

As China develops toward a high-quality stage and the carbon peak and carbon neutral targets are proposed, a new green and low-carbon development pattern is urgently required. Coal is the primary energy of China and it provides a solid guarantee for the stable operation of the economy; however, the coal industry in China is unbalanced and insufficient in terms of efficiency, technology, market, safety, environment, and other aspects and it can no longer satisfy the new requirements for high-quality energy development and active response to climate change. In this article, we analyze the three imbalances and six insufficiencies that coal industry development faces, and define high-quality development of the coal industry considering the new requirements of energy development.Subsequently, we establish a three-level evaluation index system from three aspects of power, quality, and efficiency reforms. The system is also comprised of five dimensions—innovation-driven, intelligence and high efficiency, diversification and economy, safety and health, green and low carbon—and 23 indexes. Moreover, we evaluate the development level of the coal industry in China using the comprehensive evaluation method of GRA-TOPSIS. The development of an innovation-driven green and intelligent development system, a collaborative and integrated green and low-carbon development system, a market system with orderly competition, a comprehensive open system with win-win cooperation, and a high-quality talent team system has become the key task for the highquality development of the coal industry. Furthermore, we propose suggestions from the aspects of top-level institutional arrangement, carbon reduction in coal industry, and coal production and demand balance.

Keywords： coal industry，high-quality development，industry evaluation，green     low-carbon     and circular    

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Improving Quality of Life in the Qinba Mountain Area: A Program of Research to Understand the Impacts of New Urban Development on the Population

Robert W. Marans and Xu Ying

Strategic Study of CAE 2016, Volume 18, Issue 5,   Pages 92-99 doi: 10.15302/J-SSCAE-2016.05.013

Abstract:

In recent years, a major migration program has been underway in the Qinba Mountain Area of China’s Shaanxi Province, and the initiative aims of this program are to alleviate poverty, prevent natural disasters, and improve the life quality for local residents. This paper suggests a longitudinal program of research in the Qinba Mountain Area that focuses on measuring progress in enhancing quality of life for the local population. This research aims at understanding the social implications of migration, and is primarily based on the population's views about their lives. In this paper, three population groups are impacted by the migration program — migrants who have moved to the new urban developments; the extant rural population (some of whom may eventually become migrants); and the residents in existing cities and towns affected by the new urban development. Such research can be used to monitor the program's progress, identify the program's reality effect on each group, and contribute to future planning and policy making in Shaanxi and other Chinese provinces. This paper briefly reviews the theoretical and methodological aspects of quality of life research, and outlines an approach for conducting a study in the Qinba Mountain Area.

Keywords： quality of life research     social survey research     social impacts evaluation     migration     new urban development     the Qinba Mountain Area    

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High-Quality Development of China’s Food Industry

Wang Jianhua, Cheng Li, Ji Jian, Li Zhaofeng, Liu Yuanfa, Chen Jian

Strategic Study of CAE 2021, Volume 23, Issue 5,   Pages 139-147 doi: 10.15302/J-SSCAE-2021.05.018

Abstract:

High-quality development is and will remain the theme of China’s economic and social development for a long period of time. The food industry—a pillar for national economy—faces the major demand for high-quality development. In this study, we analyze the concept and significance of high-quality development of food industry from three dimensions: macro level, industry, and enterprise management, and summarize the current status and problems related to the food industry development. Subsequently, we build an evaluation index system using the statistical yearbook data; we use this system to study the development level of the food industry in recent years and comprehensively evaluate the development quality of the industry. Moreover, we propose a high-quality development path for China’s food industry in terms of policy, science and technology, platform, talent team, ecosystem, and shared manufacturing. To promote high-quality development of food industry, China should improve the system and mechanism for the innovative development of the industry, adhere to green development, strengthen the research and development of core technologies and special equipment for food industry, establish a platform system and mechanism, and build a food science and technology talent team.

Keywords： food industry     high-quality development     comprehensive evaluation     index system     development path    

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Image Engineering and Its Research Status in China

Zhang Yujin

Strategic Study of CAE 2000, Volume 2, Issue 8,   Pages 91-94

Abstract:

This paper provides a well-regulated explanation of the definition as well as contents of image engineering, a classification of the theories of image engineering and the applications of image technology. In addition, a comprehensive survey on important Chinese publications about image engineering in the past five years is carried out. An analysis and a discussion of the statistics made on the classification results are also presented. This work shows a general and up-to-date picture of the current status, progress trends and application areas of image engineering in China. It also supplies useful information for readers doing research and/or application works in this field, and provides a helpful reference for editors of journals and potential authors of papers.

Keywords： image engineering     publication     survey    

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Title Author Date Type Operation

No-reference noisy image quality assessment incorporating features of entropy, gradient, and kurtosis

Heng Yao, Ben Ma, Mian Zou, Dong Xu, Jincao Yao,hyao@usst.edu.cn,xudong@zjcc.org.cn,yaojc@zjcc.org.cn

Journal Article

Image quality assessmentmethod based on nonlinear feature extraction in kernel space

Yong DING,Nan LI,Yang ZHAO,Kai HUANG

Journal Article

Amultimodal dense convolution network for blind image quality assessment

Nandhini CHOCKALINGAM, Brindha MURUGAN

Journal Article

Adaptive compression method for underwater images based on perceived quality estimation

Ya-qiong CAI, Hai-xia ZOU, Fei YUAN

Journal Article

Learning-based parameter prediction for quality control in three-dimensional medical image compression

Yuxuan Hou, Zhong Ren, Yubo Tao, Wei Chen,3140104190@zju.edu.cn,renzhong@cad.zju.edu.cn

Journal Article

Study on Quality Evaluation of Domestic Agricultural Machinery Equipment: An Analysis Based on the Farmer Survey Data from Central China

Zhou Jing, Qing Ping

Journal Article

Study on Index System for ManufacturingQuality Power

Zheng Liwei,Zhang Gang,Jiang Jiadong and Wang Yunsong

Journal Article

The water quality evaluation of the Dalinuoer Lake based on fuzzy comprehensive evaluation method

Zhang Sheng,Li Changyou,Liang Xizhen,Shi Xiaohong

Journal Article

The questionnaire analysis of quality index and factors of Chinese railway survey and design

Xie Hongtao,Chen Fan

Journal Article

The Interval Extension Assessment Method of Water Environmental Quality and Its Application

Hu Baoqing

Journal Article

Quality Infrastructure for the New Material Industry

Chen Ming, Wang Mao, Yang Zhigang, Li Mengqi, Tang Yuhang, Wang Yang, Wang Peng

Journal Article

High-Quality Development of China's Coal Industry

Kang Hongpu, Wang Guofa, Wang Shuangming, Liu Jianzhong, Ren Shihua, Chen Peipei, Qin Rongjun, Pang Yihui, Qu Yang

Journal Article

Improving Quality of Life in the Qinba Mountain Area: A Program of Research to Understand the Impacts of New Urban Development on the Population

Robert W. Marans and Xu Ying

Journal Article

High-Quality Development of China’s Food Industry

Wang Jianhua, Cheng Li, Ji Jian, Li Zhaofeng, Liu Yuanfa, Chen Jian

Journal Article

Image Engineering and Its Research Status in China

Zhang Yujin

Journal Article