Effect of Homomorphic Filter on Infrared Images for Exposure Fusion

An important factor to improve the visual quality of an image is contrast enhancement. The more the value of contrast, the simpler it is to identify and compare between different objects in an image. This paper focuses on experimenting how efficient different contrast enhancement techniques developed for visual images work for infrared images. It also determines which technique suites well to site a weapon hidden beneath a person’s clothing application of infrared imaging. We have compared Homomorphic filtering to the classical technique of histogram equalization using metrics of entropy, sharpness and user observations. These metrics provide both qualitative and quantitative analyses of the implemented work which has relevance to the end user application of concealed weapon detection using infrared imaging.