High-Brightness Image Enhancement Algorithm

Yifei Wei, Zhenhong Jia, Jie Yang, Nikola Kasabov

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In this paper, we introduce a tone mapping algorithm for processing high-brightness video images. This method can maximally recover the information of high-brightness areas and preserve detailed information. Along with benchmark data, real-life and practical application data were taken to test the proposed method. The experimental objects were license plates. We reconstructed the image in the RGB channel, and gamma correction was carried out. After that, local linear adjustment was completed through a tone mapping window to restore the detailed information of the high-brightness region. The experimental results showed that our algorithm could clearly restore the details of high-brightness local areas. The processed image conformed to the visual effect observed by human eyes but with higher definition. Compared with other algorithms, the proposed algorithm has advantages in terms of both subjective and objective evaluation. It can fully satisfy the needs in various practical applications.
Original languageEnglish
Article numbere11497
Pages (from-to)1-18
Number of pages18
JournalApplied Sciences
Issue number23
Early online date4 Dec 2021
Publication statusE-pub ahead of print - 4 Dec 2021


  • high brightness
  • video images
  • car plates
  • image recognition


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