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Image interpolation model based on packet losing network

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Abstract

In this paper, a method combining an error hiding algorithm with image super-resolution reconstruction is proposed, which uses packet loss compensation as an alternative to traditional reconstruction processes. Our algorithm provides an alternative to traditional frameworks by firstly estimating the edge direction of the block and then interpolating along the edge direction. We define a pixel span function to obtain the missing image details, and the pixels are reconstructed using this function to detect their possible textures. Experiments using established image data sets show that comparison with seven other classical image interpolation algorithms, the proposed approach achieves both higher quantitative and qualitative performance results, ultimately providing better visual effects.

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Acknowledgments

This work was supported by Guangxi Colleges and Universitied Key Laboratory of Intelligent Processing of Computer Images and Graphics (No. GIIP1806) and Chongqing Key Lab of Computer Network and Communciation Technologogy (CY-CNCL-2017-02).

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Authors and Affiliations

  1. College of Automation, Chongqing University of Posts and Telecommunications, Nan’an District, Chongqing, 400065, China

    Changjiang Jiang, Hantao Li, Shangbo Zhou, Jim Yu, Long Chen & Xianzhong Xie

  2. College of Computer Science, Chongqing University, Chongqing, 400044, China

    Shangbo Zhou & Zihan Zhang

  3. Chongqing Key Lab of Computer Network and Communication Technology, Chongqing, 400065, China

    Xianzhong Xie

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  1. Changjiang Jiang
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  2. Hantao Li
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  3. Shangbo Zhou
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  5. Jim Yu
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  6. Long Chen
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  7. Xianzhong Xie
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Correspondence to Shangbo Zhou.

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Jiang, C., Li, H., Zhou, S. et al. Image interpolation model based on packet losing network. Multimed Tools Appl 79, 25785–25800 (2020). https://doi.org/10.1007/s11042-020-09255-0

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  • DOI: https://doi.org/10.1007/s11042-020-09255-0

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