Images, which are captured in the night, have the poor quality in comparison to day light. In
surveillance cameras, because of weather and other constraint images have low brightness …

Night images obtained from a surveillance camera have low visibility compared to daytime
images. Images captured at night have low brightness, low contrast and high noise. A …

Nighttime image captured in low-or non-uniform illumination scene always suffers from the
loss of visibility and contains various noise and objectionable artifact. When we enlarge the …

Object recognition is a critical part of any surveillance system. It is the matter of utmost
concern to identify intruders and foreign objects in the area where surveillance is done. The …

In this work, a novel multiscale reflection component-based enhancement algorithm is
proposed for the nighttime input image. This model not only recovers the contrast of an …

This paper presents a proposed approach for the enhancement of Infrared (IR) night vision
images. This approach is based on a trilateral contrast enhancement in which the IR night …

This paper presents two proposed approaches for enhancing the visibility of the infrared (IR)
night vision images. The first approach is based on merging gamma correction with …

This research presents new three proposed approaches to enhancement the visibility of the
Infrared (IR) night vision images. The first proposed approach depends on Hybrid Adaptive …

With the development of modern society, people need to acquire nighttime images under
low illumination conditions in more and more areas. However, such images are usually not …

Nighttime images are often obtained with low brightness, deficient contrast, and latent
colours. Thus, it is important to improve such aspects in order to obtain acceptable quality …