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A Comprehensive Overview of Image Enhancement Techniques

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Abstract

Image enhancement plays an important role in improving image quality in the field of image processing, which is achieved by highlighting useful information and suppressing redundant information in the image. In this paper, the development of image enhancement algorithms is surveyed. The purpose of our review is to provide relevant researchers with a comprehensive and systematic analysis on image enhancement techniques and give them a valuable reference. Various image enhancement algorithms were mentioned and underlying difficulties, limitations, merits and disadvantages were discussed in applying these techniques in the past two decades with three aspects: supervised algorithm, unsupervised algorithm and quality evaluation, respectively. Further, we summarize some existing problems and analyze the future development trend of existing enhanced algorithms.

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Acknowledgements

This work is jointly supported by the National Natural Science Foundation of China (No.62061023 and 61961037), the Natural Science Foundation of Gansu Province (No.18JR3RA288) and the Fundamental Research Funds for the Central Universities of China (No.lzujbky-2017-it72).

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Authors and Affiliations

  1. School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, Gansu, China

    Yunliang Qi, Zhen Yang, Meng Lou, Wenwei Zhao & Yide Ma

  2. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, Gansu, China

    Wenhao Sun & Jing Lian

  3. The College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China

    Xiangyu Deng

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  1. Yunliang Qi
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Qi, Y., Yang, Z., Sun, W. et al. A Comprehensive Overview of Image Enhancement Techniques. Arch Computat Methods Eng 29, 583–607 (2022). https://doi.org/10.1007/s11831-021-09587-6

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