High-Brightness Image Enhancement Algorithm

Yifei Wei, Zhenhong Jia, Jie Yang, Nikola Kasabov

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
22 Downloads (Pure)

Abstract

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 number11497
Pages (from-to)1-18
Number of pages18
JournalApplied Sciences
Volume11
Issue number23
DOIs
Publication statusPublished (in print/issue) - 4 Dec 2021

Bibliographical note

Funding Information:
This research was funded by the National Science Foundation of China (No. U1803261) and the International Science and Technology Cooperation Project of the Ministry of Education of the People?s Republic of China.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Care plate recognition
  • High-brightness
  • Tone mapping
  • Video images

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