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Research on adaptive histogram modification algorithm for color image

Published:18 August 2021Publication History

ABSTRACT

In order to overcome image detail lossing, distortion and over-enhancement caused by histogram equalization, a novel algorithm for color image enhancment based on adaptive histogram modification is proposed. According to the distribution of gray-scale, the algorithm will construct the target gray sequence, choose the right mapping mode, and adaptively modify the image after histogram equalization base on gray mapping. An adaptive judgment method and flow of gray mapping is also designed. The experiments show that the algorithm can not only effectively overcome the over-enhancement and distortion, restoration the image partial detail but also improve the images' color to be more vivid and lively. The effect of color image enhancement is remarkable.

References

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  • Published in

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    ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems
    May 2021
    2053 pages
    ISBN:9781450390200
    DOI:10.1145/3469213

    Copyright © 2021 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 18 August 2021

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