Details

Autor(en) / Beteiligte

• Banharnsakun, Anan
• Vasant, Pandian
• Weber, Gerhard-Wilhelm
• Zelinka, Ivan

Titel

Low-Light Image Enhancement with Artificial Bee Colony Method

Ist Teil von

• Intelligent Computing & Optimization, p.3-13

Ort / Verlag

Cham: Springer International Publishing

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Images taken in low-light environments tend to show incomplete detail because most of the information is masked in low-visibility areas, which is the major part that deteriorates the image quality. Improving the clarity of the image to reveal the complete detail in the image remains a challenging task for researchers. Moreover, a good quality image is essential for image processing tasks in various fields such as medical imaging, remote sensing, and computer vision applications. To improve the visual quality of low-light images, an effective image enhancement technique based on optimizing gamma correction by using the artificial bee colony algorithm is proposed in this work. Quality evaluation methods for enhanced images obtained from the proposed technique are detailed, and comparisons of the proposed technique with other recent techniques are presented. Experiments show that the effectiveness of the proposed technique can be serving as an alternative method for low light image enhancement.