Research on Novel Natural Image Reconstruction and Representation Algorithm based on Clustering and Modified Neural Network

机译：基于聚类和修改神经网络的新型自然图像重构和代表算法研究

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In this paper, we conduct research on the novel natural image reconstruction and representation algorithm based on clustering and modified neural network. Image resolution enhancement is one of the earliest researches of single image interpolation. Although the traditional interpolation and method for single image amplification is effect, but did not provide more useful information. Our method combines the neural network and the clustering approach. The experiment shows that our method performs well and satisfactory.

机译：本文基于聚类和修改神经网络的新型自然图像重构和代表算法进行研究。图像分辨率增强是单图像插值的最早研究之一。虽然传统的插值和单一图像放大的方法是效果，但没有提供更有用的信息。我们的方法结合了神经网络和聚类方法。实验表明，我们的方法表现良好，令人满意。

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《International Conference on Informatization in Education, Management and Business》|2015年||共5页
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LU Dong-xing;
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中图分类 G20-53;
关键词
Natural Image; Clustering Method; Modified Neural Network; Image Representation;

机译：自然形象;聚类方法;修改神经网络;图像表示;

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专利

1. Hopfield neural network based algorithms for image restoration and reconstruction. I. Algorithms and simulations [J] . Yi Sun IEEE Transactions on Signal Processing . 2000,第7期

机译：基于Hopfield神经网络的图像还原和重建算法。一，算法与仿真
2. Hopfield neural network based algorithms for image restoration and reconstruction. II. Performance analysis [J] . Yi Sun IEEE Transactions on Signal Processing . 2000,第7期

机译：基于Hopfield神经网络的图像还原和重建算法。二。性能分析
3. Oil spill segmentation in SAR images using convolutional neural networks. A comparative analysis with clustering and logistic regression algorithms [J] . Cantorna Diego, Dafonte Carlos, Iglesias Alfonso, Applied Soft Computing . 2019,第期

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4. Research on Novel Natural Image Reconstruction and Representation Algorithm based on Clustering and Modified Neural Network [C] . LU Dong-xing International Conference on Informatization in Education, Management and Business . 2015

机译：基于聚类和修改神经网络的新型自然图像重构和代表算法研究
5. Outlier accommodation using genetic algorithms in neural networks-based image segmentation. [D] . Ligas, Daniel. 2000

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6. Correspondence between Monkey Visual Cortices and Layers of a Saliency Map Model Based on a Deep Convolutional Neural Network for Representations of Natural Images [O] . Nobuhiko Wagatsuma, Akinori Hidaka, Hiroshi Tamura 2021

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7. Research on Novel Natural Image Reconstruction and Representation Algorithm based on Clustering and Modified Neural Network [O] . Lu Dong-xing 2015

机译：基于聚类和修改神经网络的新型自然图像重构和代表算法研究

Research on Novel Natural Image Reconstruction and Representation Algorithm based on Clustering and Modified Neural Network

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