Adaptive contrast enhancement based on temperature and histogram for an infrared image

In general, an infrared camera which is 1-dimensional scanning type has the fixed pattern noises which are shown in the form of horizontal line. The noises probably caused by non-uniformity of the detectors, optical characteristics or noises from inside heat source. Those noises are shown very strongly resulted by the contrast enhancement when the camera views a uniform background such as a clear and cold sky. In this paper, we propose adaptive contrast enhancement method based on the temperature and histogram range of scenes to reduce the fixed pattern noise. In our proposed method, the weight value is extracted from the temperature and histogram range of the input image. The strength of the contrast is then regulated by the weight value. Therefore, our proposed method can effectively reduce the fixed pattern noise. To show the validity of our proposed method, we present experimental results for several infrared images.