A Quantitative Study on Optimum Parameters Selection in Adaptive Unsharp Masking Technique for Infrared Images
Onur Jane, Hakkı Gökhan İlk · Brno University of Technology Digital Library (Brno University of Technology) · 2009
Abstract. Infrared image processing has been the focal point of considerable research activity in the last decade mainly because of its wide application areas in security and defense. With the aid of an existing image enhance-ment technique, we propose an optimum parameters selec-tion procedure which delivers better performance in sharpness and contrast adjustment for the detection of targets in interest in objective quality metrics. Hence, pro-posed method ensures that the edges of the targets in infra-red images are sharper and that the quality of contrast adjustment has its optimum level with minimum error. Keywords Adaptive filtering, surveillance applications, image enhancement, Gauss-Newton algorithm, minimum mean square error. 1.