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An G.,Beijing Jiaotong University | Wu J.,China Certification and Inspection Group | Ruan Q.,Beijing Jiaotong University
International Conference on Signal Processing Proceedings, ICSP | Year: 2010

A novel multi-band image interpolation method is proposed. It recovers the final image based on Minimum Mean Square Error (MMSE) rule by using the multi-band image information. Both sub-image features and the multi-band cross-correlated information are used for the estimation. Then we demonstrate the decomposition models which could generate highly-correlated sub-images achieve good performance when adopted in our method. Our method not only considers the properties in sub-images, but incorporates the correlated characteristics among decomposed images in multiple bands, which outperforms conventional single image MMSE estimation methods. Both subjective and objective experimental results prove the validity of our method used in image interpolation. © 2010 IEEE. Source

Yan Y.,CAS Research Center for Eco Environmental Sciences | Jia J.,CAS Research Center for Eco Environmental Sciences | Jia J.,University of Chinese Academy of Sciences | Wang L.,China Certification and Inspection Group | And 5 more authors.
Shengtai Xuebao/ Acta Ecologica Sinica | Year: 2014

Study of water footprint (WF) is one of the hottest topics in the sustainability assessment and management of water resources. As a new analytical tool, assessment of the WF of products can help to understand the comprehensive impacts of products on water resources scarcity and pollution, as well as pinpoint actions to ensure that products do not contribute to unsustainable use of water resources. Textile production is a important necessity with a great amount of production and consumption, and its production process is accompanied by considerable volumes of water consumption and sewage emission. China is the world's largest textile producer and exporter. The large-scale textile industry places serious pressure on water resources and the water environment. In order to assess quantitatively the comprehensive impact of the industry stage of textile production on the water resources at the product level, this paper has applied the theory of the industrial water footprint (IWF). It has analyzed and determined the system boundary and content of the IWF of textile production and then constructed an accounting method for the IWF of textile. Based on survey and monitoring in many textile factories, the IWF of four typical cotton textiles (i.e., heather grey, bleached cloth, dyed fabric and yarn-dyed fabric) were calculated and analyzed. The results showed that: 1) The accounting methodology and associated parameters of the IWF of textiles proposed by this paper are operational and applicable, which meets the requirements of textile IWF assessment and reflects differences among different types of textile. 2) The IWF of yarn-dyed fabric is the largest (81.51L/lb), followed by dyed fabric (61.52L/lb), heather grey (37.84L/lb), and the IWF of bleached cloth is the smallest (36.51L/lb). 3) Comparing the IWF of products of the same type but in different colors, it was found that the darker the color is, the larger IWF it has. This is due to the fact that a dark colored textile needs to be washed more times, therefore leading to an increase in water, steam and energy consumption. 4) According to the IWF composition of the four textiles, the direct IWF has a larger share, and the indirect IWF is relatively small. This means that the comprehensive impact of the direct water consumption and pollution in textile production processes on the water resources is considerably larger than the impact of the industry production of materials. More importantly, the blue WF accounts for a major proportion of the direct IWF, while the grey WF occupies a smaller proportion, which means that the impact from water consumption is considerably larger than that of water pollution in textile production processes. 5) The indirect IWF is sourced mainly from the consumption of steam and electricity in the production department, and less from coal, gasoline and diesel consumption in the public department and transportation. These results implied that 1) For manufacturing enterprise, the key point to reducing the IWF of textiles is to curb water use in production process. 2) For consumers, choosing a lighter colored textile is the more environmentally friendly option. © 2014, Ecological Society of China. All rights reserved. Source

Jia J.,CAS Research Center for Eco Environmental Sciences | Jia J.,University of Chinese Academy of Sciences | Yan Y.,CAS Research Center for Eco Environmental Sciences | Wang C.,CAS Research Center for Eco Environmental Sciences | And 9 more authors.
Shengtai Xuebao/ Acta Ecologica Sinica | Year: 2012

Large-scale industrial production consumes considerable amounts of water and discharges a large quantity of industrial sewage, and both of these are primary causes of the global water crisis and problems relating to the water environment. Scientifically and effectively evaluating the impact of industrial production on water resources is the premise and foundation of improving the efficiency of water resources utilization and management in industrial production, which is very important in relieving the stress on water resources and the water environment, especially in China. In order to develop a system and methods for evaluating the impact of industrial production on water resources based on the concept and theory of water footprint, the concept of Industrial Water Footprint (IWF) was proposed and its system boundary and evaluation content analysed. IWF is a multi-dimensional index for the increment of water resources usage caused by the industrial production process. As a part of water footprint sustainability evaluation, IWF focuses on the industrial production process. The function of IWF is to evaluate the synthetic impacts of an industrial production process or an individual product, an industrial enterprise, an industry or even a region on water resources and the water environment. Based on the concept of IWF, this paper also analysed its connotation and categories, and determined the system boundary. Compared with the traditional footprint evaluation of entire Life Cycle Assessment (LCA), IWF has its own system boundary and range of issues to be evaluated, in which items such as water usage and pollutant discharge of natural and agricultural process, plant growth, livestock feeds, agricultural irrigation and daily life of human beings are not taken into account. IWF can be divided into two parts: direct and indirect. As the name implies, the direct IWF comprises the water resources consumed and the pollution of the water environment directly caused by the industrial production process. On the other hand, the indirect IWF comprises the potential water resources consumption and pollution of the water environment caused by raw materials, auxiliary materials and secondary energy resources. Moreover, the framework and basic methods of evaluation in IWF are also constructed. The evaluation framework of IWF is composed of three parts: production water footprint, public water footprint and transport water footprint. 'Production water footprint' refers to the sum of processed water footprints of all industrial production processes. 'Public water footprint' refers to the sum of water footprints of the assistant production management system, including detection, maintenance and wastewater treatment. 'Transport water footprint' refers to the water footprint caused by transportation, which includes transportation production and public transportation in industrial production processes. 'Transportation production' particularly refers to freight transportation of all processes, including the semi-finished product and raw material transportation in the industrial production processes, as well as transporting the semi-finished product and final product in and out of store. 'Public transportation' particularly refers to the transportation of the staff of the assistant production management sector. Furthermore, the prospect of application and significance of evaluation of IWF in terms of product, enterprise and region were forecasted and discussed. Source

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