In this paper, a novel and effective algorithm is proposed for noise reduction and contrast enhancement in low light images based on luminance map and haze removal model. The proposed method is divided into two steps: i) A combined denoising method using the improved guided filtering based on gradient information and median filtering is proposed to obtain the initial denoised image. ii) Considering that an inverted low light image presents quite similar to a haze image, the haze removal model is used to enhance the denoised low light image.The luminance component L is extracted to obtain the transmission map with the adaptive weight from the inverted denoised image which is applied to Lab color space. Then the classical quad-tree subdivision is utilized to estimate the atmospheric light, and then the de-hazed image is recovered by the haze removal model. At last, we can get the final enhanced image by inverting the de-hazed image back. The experimental results show that the proposed algorithm reduces the noise and enhances the contrast of the low light image more effectively and robustly than the conventional and the state-of-the-art algorithms
{"title":"Low Light Image Enhancement Based on Luminance Map and Haze Removal Model","authors":"Wei Xie, Xu Long, Zhigang Tu, Jin Yu, Ke Xu","doi":"10.1109/ISCID.2017.146","DOIUrl":"https://doi.org/10.1109/ISCID.2017.146","url":null,"abstract":"In this paper, a novel and effective algorithm is proposed for noise reduction and contrast enhancement in low light images based on luminance map and haze removal model. The proposed method is divided into two steps: i) A combined denoising method using the improved guided filtering based on gradient information and median filtering is proposed to obtain the initial denoised image. ii) Considering that an inverted low light image presents quite similar to a haze image, the haze removal model is used to enhance the denoised low light image.The luminance component L is extracted to obtain the transmission map with the adaptive weight from the inverted denoised image which is applied to Lab color space. Then the classical quad-tree subdivision is utilized to estimate the atmospheric light, and then the de-hazed image is recovered by the haze removal model. At last, we can get the final enhanced image by inverting the de-hazed image back. The experimental results show that the proposed algorithm reduces the noise and enhances the contrast of the low light image more effectively and robustly than the conventional and the state-of-the-art algorithms","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128206371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Infrared image is usually disturbed by various noises during capturing and transporting, so it should be firstly processed by denoising. A new adaptive denoising algorithm based on a new Contour let Transform with Sharp Frequency Localization is proposed in this paper. The hierarchical adaptive denoising threshold of new Contour let coefficient is firstly estimated respectively by each location from different direction, then the noisy image is denoising with soft threshold related to the transform scale and direction. In order to reduce significant amount of aliasing components which are located far away from the desired support because of the new Contour let Transform, cycle spinning is employed to overcome the lack of translation invariance property and suppress pseudo-Gibbs phenomena around singularities of denoising image. Numerical experiments on infrared noisy image show that the algorithm given by this paper is significantly superior to some other usual arithmetic based on contour let, which can get better PSNR and visual quality.
{"title":"Infrared Image Adaptive Denoising Algorithm in Contourlet Transform with Sharp Frequency Localization","authors":"Fei Wang, X. Liang, Yan-kai Cui, Xiao-Jun Wu","doi":"10.1109/ISCID.2011.20","DOIUrl":"https://doi.org/10.1109/ISCID.2011.20","url":null,"abstract":"Infrared image is usually disturbed by various noises during capturing and transporting, so it should be firstly processed by denoising. A new adaptive denoising algorithm based on a new Contour let Transform with Sharp Frequency Localization is proposed in this paper. The hierarchical adaptive denoising threshold of new Contour let coefficient is firstly estimated respectively by each location from different direction, then the noisy image is denoising with soft threshold related to the transform scale and direction. In order to reduce significant amount of aliasing components which are located far away from the desired support because of the new Contour let Transform, cycle spinning is employed to overcome the lack of translation invariance property and suppress pseudo-Gibbs phenomena around singularities of denoising image. Numerical experiments on infrared noisy image show that the algorithm given by this paper is significantly superior to some other usual arithmetic based on contour let, which can get better PSNR and visual quality.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121223555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper elaborates the birth and development of bilevel programming integrating bibliographies home and abroad. Then analysis several solving algorithms of general bilevel programming, multi-objective bilevel programming and introduce their current applications in transportation, resource allocation, logistics and other aspects briefly. The last part of the paper is the further prospects of its development.
{"title":"A Survey of Bilevel Programming Model and Algorithm","authors":"Hongli Guo, Juntao Li, H. Gao","doi":"10.1109/ISCID.2011.151","DOIUrl":"https://doi.org/10.1109/ISCID.2011.151","url":null,"abstract":"This paper elaborates the birth and development of bilevel programming integrating bibliographies home and abroad. Then analysis several solving algorithms of general bilevel programming, multi-objective bilevel programming and introduce their current applications in transportation, resource allocation, logistics and other aspects briefly. The last part of the paper is the further prospects of its development.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115818428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/ISCID.2018.00065
Zheng Liu, G. Hu, Yan Wang
In order to stimulate the collective creativity and coordinate the team members of heterogeneous background, a framework of design knowledge organization based on the team cognition is proposed for the small and micro enterprises. The knowledge organization structure is optimized by building the internal logic consistent with the knowledge flow in the design team cognition process. There are 3 parts in this frameworks. Firstly, the initial team consensus of the design concept on the process, rationale and requirement is formed by Meta knowledge. Secondly, according to the needs of different team members, the specific knowledge for the users, customers, designers, engineers, project managers based on the different perspectives can be provided. Finally, with the interaction knowledge organization, the design conflicts can be guided to reduce the impact to the project.
{"title":"The Framework of Design Knowledge Organization Based on Team Cognition","authors":"Zheng Liu, G. Hu, Yan Wang","doi":"10.1109/ISCID.2018.00065","DOIUrl":"https://doi.org/10.1109/ISCID.2018.00065","url":null,"abstract":"In order to stimulate the collective creativity and coordinate the team members of heterogeneous background, a framework of design knowledge organization based on the team cognition is proposed for the small and micro enterprises. The knowledge organization structure is optimized by building the internal logic consistent with the knowledge flow in the design team cognition process. There are 3 parts in this frameworks. Firstly, the initial team consensus of the design concept on the process, rationale and requirement is formed by Meta knowledge. Secondly, according to the needs of different team members, the specific knowledge for the users, customers, designers, engineers, project managers based on the different perspectives can be provided. Finally, with the interaction knowledge organization, the design conflicts can be guided to reduce the impact to the project.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"303 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115932706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper carried out secondary development based on the World Wind three-dimensional Earth model, using the cloud image data from geostationary orbit meteorological satellite. The work designed and implemented the three-dimensional simulation of real-time global cloud coverage, and dynamically simulated the process of global cloud coverage change. Besides, statistical analysis of cloud coverage change history in the target regions was carried out.
{"title":"Simulation and Change Analysis of Global Cloud Coverage Based on Three-Dimensional Earth Model","authors":"Hu Mei, Peng Huang, Wenyi Zhang, Nan Lu","doi":"10.1109/ISCID.2011.89","DOIUrl":"https://doi.org/10.1109/ISCID.2011.89","url":null,"abstract":"This paper carried out secondary development based on the World Wind three-dimensional Earth model, using the cloud image data from geostationary orbit meteorological satellite. The work designed and implemented the three-dimensional simulation of real-time global cloud coverage, and dynamically simulated the process of global cloud coverage change. Besides, statistical analysis of cloud coverage change history in the target regions was carried out.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117280147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/ISCID51228.2020.00092
Jiqing Fu, Rontai Wang, Qigao Zhou
In order to analyze the seismic performance of regional buildings and the rationality of seismic structure, it is necessary to conduct quantitative analysis of peak ground motion acceleration. Due to the limitations of the data from GB-18306, the interpolation method for small sample data in a large area was carried out for quantitative analysis. In this paper, based on the GA tool in ArcGIS software, the empirical Bayes Kriging method, inverse distance weight method and other interpolation methods are compared and analyzed. Through experiments, the RMS error of the empirical Bayesian Kriging method is 0.02220027, and its measurement results are better than the inverse distance weight interpolation analysis method.
{"title":"Based on ArcGIS Interpolation Method of Drawing Peak Acceleration Zoning Map","authors":"Jiqing Fu, Rontai Wang, Qigao Zhou","doi":"10.1109/ISCID51228.2020.00092","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00092","url":null,"abstract":"In order to analyze the seismic performance of regional buildings and the rationality of seismic structure, it is necessary to conduct quantitative analysis of peak ground motion acceleration. Due to the limitations of the data from GB-18306, the interpolation method for small sample data in a large area was carried out for quantitative analysis. In this paper, based on the GA tool in ArcGIS software, the empirical Bayes Kriging method, inverse distance weight method and other interpolation methods are compared and analyzed. Through experiments, the RMS error of the empirical Bayesian Kriging method is 0.02220027, and its measurement results are better than the inverse distance weight interpolation analysis method.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127489859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jin Zhang, Hongqiao Zhou, Zhuoning Chen, Xiaoguang Yan
The development of PDM-based integrated systems is a complex process that involves challenges, regarding the ability to quickly, flexibly and jointly customize various applications. In this paper, we propose a model driven approach for developing PDM-based integrated systems and mainly focus on user interface (UI) and data integration issues. This approach is built on an integration development platform, which provides modeling tools, model transformation tools and a platform specific language (PSL). With this platform, the UI and data integration requirements are described using XML standards. Then the unified UI model is transformed into various UI resource files and boilerplate code that are specific to each application, while the data model will be referenced in the PSL or the third-generation language (3GL). And finally, the PSL and the 3GL are used for further detail implementation. Several practices show that the presented approach can speed up the implementation of PDM-based integrated systems and cut down the software developing cost
{"title":"A Model Driven Approach for Developing PDM-Based Integrated Systems","authors":"Jin Zhang, Hongqiao Zhou, Zhuoning Chen, Xiaoguang Yan","doi":"10.1109/ISCID.2009.279","DOIUrl":"https://doi.org/10.1109/ISCID.2009.279","url":null,"abstract":"The development of PDM-based integrated systems is a complex process that involves challenges, regarding the ability to quickly, flexibly and jointly customize various applications. In this paper, we propose a model driven approach for developing PDM-based integrated systems and mainly focus on user interface (UI) and data integration issues. This approach is built on an integration development platform, which provides modeling tools, model transformation tools and a platform specific language (PSL). With this platform, the UI and data integration requirements are described using XML standards. Then the unified UI model is transformed into various UI resource files and boilerplate code that are specific to each application, while the data model will be referenced in the PSL or the third-generation language (3GL). And finally, the PSL and the 3GL are used for further detail implementation. Several practices show that the presented approach can speed up the implementation of PDM-based integrated systems and cut down the software developing cost","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123639739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clustering and classification are independent methods of data mining. This paper compares relative merits of two methods. And then try to integrate them to construct an effective way to improve clustering results. The better the results are, the better internal information of data sets will be shown. However, there isn’t any improved method which is suitable for all clustering algorithms until now. This paper proposes a modified method based on iterative-classification for better clustering results. Experiment results show that the proposed method improves the accuracy of clustering results effectively.
{"title":"A Method Based on Iterative-Classification for Improving Clustering Results","authors":"Xiaohua Wang, Jia Lou","doi":"10.1109/ISCID.2009.47","DOIUrl":"https://doi.org/10.1109/ISCID.2009.47","url":null,"abstract":"Clustering and classification are independent methods of data mining. This paper compares relative merits of two methods. And then try to integrate them to construct an effective way to improve clustering results. The better the results are, the better internal information of data sets will be shown. However, there isn’t any improved method which is suitable for all clustering algorithms until now. This paper proposes a modified method based on iterative-classification for better clustering results. Experiment results show that the proposed method improves the accuracy of clustering results effectively.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124648008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A delayed network congestion control algorithm is a complicated dynamical nonlinear feedback system. A class of delayed TCP congestion control algorithms, TCP Vegas congestion control schemes with general description, is analyzed. The delayed systems with discrete-time are discussed, and many criteria on the stability are obtained. Finally, the computer simulations show that the stability criteria are validity and practicability.
{"title":"Stability of TCP-Like Congestion Control Algorithm","authors":"Yongsheng Zhao, Lihua Song","doi":"10.1109/ISCID.2009.102","DOIUrl":"https://doi.org/10.1109/ISCID.2009.102","url":null,"abstract":"A delayed network congestion control algorithm is a complicated dynamical nonlinear feedback system. A class of delayed TCP congestion control algorithms, TCP Vegas congestion control schemes with general description, is analyzed. The delayed systems with discrete-time are discussed, and many criteria on the stability are obtained. Finally, the computer simulations show that the stability criteria are validity and practicability.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116618007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In view of to the phenomenon of Information Island in Education Resource, this paper researched a distributed education resource data query system worked on Internet by Grid technology in order to share and use the distributed and heterogeneous education resource database. It is the Education Resource Distributed Query DataGrid (ERDQD). Then, it researched the technology and principle of accessing the database by OGSA-DAI and the principle of realizing the query from the distributed heterogeneous database.
{"title":"Research of Education Resource Distributed Query Technology Based on Grid","authors":"Peng Geng, Xiuming Sun, Lifeng Liu","doi":"10.1109/ISCID.2009.46","DOIUrl":"https://doi.org/10.1109/ISCID.2009.46","url":null,"abstract":"In view of to the phenomenon of Information Island in Education Resource, this paper researched a distributed education resource data query system worked on Internet by Grid technology in order to share and use the distributed and heterogeneous education resource database. It is the Education Resource Distributed Query DataGrid (ERDQD). Then, it researched the technology and principle of accessing the database by OGSA-DAI and the principle of realizing the query from the distributed heterogeneous database.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116535946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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