Testing of IR Image Enhancement Algorithm on Maritime Objects

IR images are a specific source of information. Perception and interpretation of the IR image greatly depends on thermal properties of observed object and surrounding scenery. In practice, the optimal settings of the camera do not guarantee the displayed image is optimal from observer's point of view. The solution to this are digital image processing mechanisms implemented in the camera or applied after image registration. The paper focuses on the improvement of the visibility of low-contrast objects and presents the test results of an image enhancement algorithm based on plateau histogram equalization. Tests were performed on real IR images of maritime objects. The algorithm significantly improves the image quality and the effectiveness of object detection.