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Halftone Image Reconstruction Based on SLIC Superpixel Algorithm

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Parallel Architectures, Algorithms and Programming (PAAP 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1163))

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Abstract

This paper proposes a halftone image reconstruction based on the SLIC (Simple Linear Iterative Clustering) superpixel algorithm and the affinity propagation algorithm. Firstly, the halftone image is segmented based on SLIC superpixel algorithm. Secondly, the affinity propagation algorithm is used to clustering the regions segmented by superpixel Algorithm. After deleting the background, the image is vectorized. The smooth background image is obtained by the linear smoothing filter and nonlinear smoothing filters. Finally, the vectored boundary and smooth background are combined together to get the reconstructed image. The boundary information is effectively retained during the reconstruction. The proposed method can effectively remove the halftone patterns and screen patterns.

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Acknowledgement

This research was supported by the Natural Science Foundation of China (No. U1504621) and the Natural Science Foundation of Henan Province (No. 162300410032).

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Authors and Affiliations

  1. School of Software, Henan University, Kaifeng, 475001, China

    Xinhong Zhang

  2. School of Computer and Information Engineering, Henan University, Kaifeng, 475001, China

    Boyan Zhang & Fan Zhang

Authors
  1. Xinhong Zhang
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  2. Boyan Zhang
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  3. Fan Zhang
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Corresponding author

Correspondence to Fan Zhang .

Editor information

Editors and Affiliations

  1. Sun Yat-sen University, Guangzhou, China

    Hong Shen

  2. Sun Yat-sen University, Guangzhou, China

    Yingpeng Sang

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Zhang, X., Zhang, B., Zhang, F. (2020). Halftone Image Reconstruction Based on SLIC Superpixel Algorithm. In: Shen, H., Sang, Y. (eds) Parallel Architectures, Algorithms and Programming. PAAP 2019. Communications in Computer and Information Science, vol 1163. Springer, Singapore. https://doi.org/10.1007/978-981-15-2767-8_12

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  • DOI: https://doi.org/10.1007/978-981-15-2767-8_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2766-1

  • Online ISBN: 978-981-15-2767-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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