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Discussion on the Application of Diversification and Refinement Strategies in Preschool Ecological Education
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作者 ZENG Guangting 《外文科技期刊数据库(文摘版)教育科学》 2021年第6期013-015,共5页
Children are the future of the motherland. In the process of education and teaching reform, children should be able to be placed in the social environment of ecological development, so as to be able to better implemen... Children are the future of the motherland. In the process of education and teaching reform, children should be able to be placed in the social environment of ecological development, so as to be able to better implement the educational content and educational strategies for children to understand and protect the ecological environment. Kindergarten education and teaching activities are based on children's actual needs and physical and mental development characteristics, and carry out educational innovation. While continuously stimulating children's awareness of independent learning, kindergarten education and teaching activities can also imperceptibly construct ecological environment and practical activities, so that diversified and refined educational strategies can be applied to ecological education. In kindergarten education, suitable ecological education concepts should be created for children, so that children can form personalized development advantages, correctly treat ecological concepts, obtain effective progress and improve thinking ability under the condition of sustainable development of education while combining children's environmental cognitive characteristics and ecological awareness. 展开更多
关键词 diversification and refinement strategy ecological education for children application strategy
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A novel adaptive image zooming scheme via weighted least-squares estimation
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作者 Xuexia ZHONG Guorui FENG +2 位作者 Jian WANG Wenfei WANG Wen SI 《Frontiers of Computer Science》 SCIE EI CSCD 2015年第5期703-712,共10页
A critical issue in image interpolation is preserving edge detail and texture information in images when zooming. In this paper, we propose a novel adaptive image zooming algorithm using weighted least-square estimati... A critical issue in image interpolation is preserving edge detail and texture information in images when zooming. In this paper, we propose a novel adaptive image zooming algorithm using weighted least-square estimation that can achieve arbitrary integer-ratio zoom (WLS-AIZ) For a given zooming ratio n, every pixel in a low-resolution (LR) image is associated with an n x n block of high-resolution (HR) pixels in the HR image. In WLS-AIZ, the LR image is interpolated using the bilinear method in advance. Model parameters of every n×n block are worked out through weighted least-square estimation. Subsequently, each pixel in the n × n block is substituted by a combination of its eight neighboring HR pixels using estimated parameters. Finally, a refinement strategy is adopted to obtain the ultimate HR pixel values. The proposed algorithm has significant adaptability to local image structure. Extensive experiments comparing WLS-AIZ with other state of the art image zooming methods demonstrate the superiority of WLS-AIZ. In terms of peak signal to noise ratio (PSNR), structural similarity index (SSIM) and feature similarity index (FSIM), WLS-AIZ produces better results than all other image integer-ratio zoom algorithms. 展开更多
关键词 adaptive interpolation refinement strategy weighted least-squares estimation arbitrary integer and WLS-AIZ scheme
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