التفاصيل البيبلوغرافية
| العنوان: |
Modified Image Restoration Algorithm Using Neural Network Based on Harmonic Model. |
| المؤلفون: |
Bing, Yang, Zhigang, Zhang, Shufen, Dai, Zhongnan, Xiao |
| المصدر: |
AASRI Procedia; Jan2012, Vol. 1, p196-206, 11p |
| مصطلحات موضوعية: |
IMAGE reconstruction, COMPUTER algorithms, ARTIFICIAL neural networks, HARMONIC analysis (Mathematics), COMPUTATIONAL complexity, COMPUTER storage devices, COMPUTER simulation |
| مستخلص: |
Abstract: In this paper, we considered the neural network image restoration algorithm based on harmonic model and improved the efficiency of the algorithm. After analyzing the complexity of the algorithm, I found that the storage of the connection weight wastes a lot of spaces. And when I made a deeper analysis of the, I found that there are many duplicated elements, and the distribution of the elements is regular. So I started from this point to improve the algorithm, and simplified the calculation of the connection weights matrix, and avoided a large amount of data storage. As a result, the space complexity reduced to from, meanwhile, the time complexity is improved. This is a great improvement. At last, I made some data simulation experiment, and the result give a further description of the algorithm. [Copyright &y& Elsevier] |
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