This paper presents an adaptive image enhancement approach to infrared (IR) images for
long-range surveillance. The IR images captured at long range usually have low contrast …

The requirement for high-quality infrared images is constantly increasing in both military and
civilian areas, and it is always associated with little distortion and appropriate contrast, while …

In infrared images, detail pixels are easily immerged in large quantity of low-contrast
background pixels. According to these characteristics, an adaptive contrast enhancement …

A quantitative measure based scene-adaptive contrast enhancement algorithm for an
infrared (IR) image is proposed. This method regulates the probability density function (PDF) …

To enhance infrared images' contrast and visual effect, this paper proposes a contrast
enhancement method based on adaptive histogram correction and equalization. Unlike the …

In infrared images, the pixels representing the objects are hidden in a large number of
background pixels with low contrast. Several effective contrast enhancement techniques …

Image enhancement is an important preprocessing step of infrared (IR) based target
recognition and surveillance systems. For a better visualization of targets, it is vital to …

This paper proposes a novel enhancement method for infrared images (IR). This algorithm
based on contrast limited adaptive histogram equalization (CLAHE) that adaptive and …

In this paper, a new self-adaptive contrast enhancement algorithm based on plateau
histogram equalization for infrared images is presented. By analyzing the histogram of …

Infrared thermal images can reflect the thermal-radiation distribution of a particular scene.
However, the contrast of the infrared images is usually low. Hence, it is generally necessary …