Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior

LIngli Guo, Zhenhong Jia, Jie Yang, Nikola Kasabov

Research output: Contribution to journalArticlepeer-review

8 Downloads (Pure)

Abstract

In low illumination situations, insufficient light in the monitoring device results in poor visibility of effective information, which cannot meet practical applications. To overcome the above problems, a detail preserving low illumination video image enhancement algorithm based on dark channel prior is proposed in this paper. First, a dark channel refinement method is proposed, which is defined by imposing a structure prior to the initial dark channel to improve the image brightness. Second, an anisotropic guided filter (AnisGF) is used to refine the transmission, which preserves the edges of the image. Finally, a detail enhancement algorithm is proposed to avoid the problem of insufficient detail in the initial enhancement image. To avoid video flicker, the next video frames are enhanced based on the brightness of the first enhanced frame. Qualitative and quantitative analysis shows that the proposed algorithm is superior to the contrast algorithm, in which the proposed algorithm ranks first in average gradient, edge intensity, contrast, and patch-based contrast quality index. It can be effectively applied to the enhancement of surveillance video images and for wider computer vision applications.
Original languageEnglish
Article number85
Pages (from-to)1-20
Number of pages20
JournalSensors
Volume22
Issue number1
DOIs
Publication statusPublished - 23 Dec 2021

Keywords

  • Dark channel prior
  • Image detail preserving
  • Images
  • Low illumination
  • Video

Fingerprint

Dive into the research topics of 'Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior'. Together they form a unique fingerprint.

Cite this