Optimising Hazy Image Clarity Through Blue Channel Balancing in Lab Color Space

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

The presence of haze in the atmosphere results in a bluish and yellowish tint in the affected area. This research assessed the histogram of hazy images and found that the blue channel was overly dominant, particularly in images exhibiting non-homogeneous haze. This pronounced blue channel is associated with the blue or yellow appearance of the haze, especially in the sky regions of the images. The blue channel in the haze image causes a loss of details and visual distraction. To address this issue, this research proposed a blue channel balancing method within the LAB colour space. This adjustment reduces the excessive blue levels, thereby enhancing image clarity by mitigating the hazy effect. Qualitative results indicate that balancing the blue channel significantly improves the dehazing process, making it more effective in removing haze, even in conditions where the haze is quite dense. However, it is important to note that this method may result in a slight darkening of the image and the appearance of twinkles (i.e., sparkles or localised brightening in certain areas of the image). The blue channel balancing method has proven particularly effective under medium and low haze conditions. Similarly, this method effectively reduces haze in images that are heavily affected by haze.

Article activity feed