Abstract
This paper presents an efficient technique for enhancement of IR images, its basic idea is to use nonlinearities applied on the main trend in IR images extracted through a LPF and the details extracted through a HPF. Magnification of the details is applied, while damping of the main trend or local mean is also accomplished to attenuate the darkness effect in IR images. Anon-linear model is applied anther trend and gain factor is applied to details .this gain is also derived from the local mean of the image the proposed approach succeeded in quality enhancement of IR images Infrared (IR) light is electromagnetic radiation with a wavelength longer than that of visible light measured from the nominal edge of visible red light at 0.74 micrometers, and extending conventionally to 300micromeres. These wavelengths correspond to a frequency range of approximately 1 to 400 THz, IR images are thermal images acquired based on the heat distribution
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