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A Method for Enlargement of Digital Images Based on Neural Network

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Advances in Neural Networks – ISNN 2007 (ISNN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4493))

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Abstract

The enlargement of the digital image implies the improvement of the image resolution, where the high frequency components lost in sampling must be estimated. In this paper, an image enlargement method using a high resolution neural network is proposed, corresponding to the region with rapid change (high local variance) and the region requiring a smooth interpolation (low local variance). It is shown that the high resolution NN has high potential ability.

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References

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Author information

Authors and Affiliations

  1. The Second Artillery Engineering Institute, 710025 Xi’an, China

    Zhao JiuFen & Li Qingzhen

  2. Beijing Institute of Technology, 100081 Beijing, China

    Zhang Xurong

Authors
  1. Zhao JiuFen
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  2. Zhang Xurong
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  3. Li Qingzhen
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Editor information

Derong Liu Shumin Fei Zengguang Hou Huaguang Zhang Changyin Sun

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© 2007 Springer Berlin Heidelberg

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JiuFen, Z., Xurong, Z., Qingzhen, L. (2007). A Method for Enlargement of Digital Images Based on Neural Network. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72395-0_102

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  • DOI: https://doi.org/10.1007/978-3-540-72395-0_102

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72394-3

  • Online ISBN: 978-3-540-72395-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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