Infrared Video Enhancement Using Contrast Limited Adaptive Histogram Equalization and Fuzzy Logic

Infrared image enhancement is a challenging task due to several factors such as low dynamic range, noise and non-uniformity effect. The non-uniformity is a time-dependent noise that appears owing to the lack of sensor equalization. This paper presents two proposed approaches for infrared video enhancement. The first proposed approach depends on histogram matching. The second one depends on contrast limited adaptive histogram equalization (CLAHE) and fuzzy logic. The performance metrics of average gradient, entropy, contrast improvement factor and Sobel edge magnitude are used for evaluating the obtained results.