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Computer desktop visualization image compression based on fuzzy clustering algorithm

  • Feng YuanEmail author
Article
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Abstract

This paper studies the computer desktop visual image compression technology based on fuzzy clustering algorithm, and proposes a computer desktop image compression scheme based on HEVC and color clustering. Aiming at the active adaptive block partitioning of computer desktop image, a high quality and low complexity compression algorithm for computer desktop image compression is proposed to further promote the development of screen sharing technology. Color clustering algorithm runs color clustering, simplifies color categories, saves code flow, and improves code performance. FCM fuzzy clustering algorithm compresses image blocks to provide effective image compression for high resolution computer desktop visualization images. In the end of this paper, the computer desktop image compression scheme proposed in this paper is compared with other compression methods. The experimental results of the adaptive dynamic block classification algorithm and the static block classification algorithm are compared. The experimental results of the color clustering algorithm and the non-color clustering algorithm are compared. Experimental results show that the proposed scheme is superior to some other compression algorithms.

Keywords

Fuzzy clustering algorithm Computer desktop Visualization Image compression 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of CommunicationYangtze Normal UniversityChongqingChina

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