Abstract
The Retinex algorithm has been used for illumination compensation, especially for night vision
image enhancement. The Multi-scale Retinex with Color Restoration Algorithm (MSRCR) shows very good
performance but has a high time complexity as well as introduces the so-called ‘halo effect’ in the enhanced
images. In this paper, we extend the MSRCR algorithm to include threshold detection and Gamma correction
for the enhancement of both night-time and daytime images while maintaining the quality of the output of the
algorithm. The simulation results with night and day time images shows a reduction of the halo effect in the
enhanced images while the overall quality of the image is maintained.
image enhancement. The Multi-scale Retinex with Color Restoration Algorithm (MSRCR) shows very good
performance but has a high time complexity as well as introduces the so-called ‘halo effect’ in the enhanced
images. In this paper, we extend the MSRCR algorithm to include threshold detection and Gamma correction
for the enhancement of both night-time and daytime images while maintaining the quality of the output of the
algorithm. The simulation results with night and day time images shows a reduction of the halo effect in the
enhanced images while the overall quality of the image is maintained.
| Original language | English |
|---|---|
| Pages (from-to) | 21-25 |
| Number of pages | 5 |
| Journal | International Journal of Research in Engineering and Science |
| Volume | 6 |
| Issue number | 1 |
| State | Published - Jan 2018 |