International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 96 - Number 8 |
Year of Publication: 2014 |
Authors: Athar A. Ein-shoka, Hamdy M. Kelash, Osama S. Faragallah, Hala S. El-sayed |
10.5120/16816-6568 |
Athar A. Ein-shoka, Hamdy M. Kelash, Osama S. Faragallah, Hala S. El-sayed . Enhancement of IR Images using Homomorphic Filtering in Fast Discrete Curvelet Transform (FDCT). International Journal of Computer Applications. 96, 8 ( June 2014), 22-25. DOI=10.5120/16816-6568
This paper presents an efficient model for enhancement of Infrared images. The proposed method is employing homomorphic filtering in the Fast Discrete Curvelet Transform (FDCT). It based on mixing the advantages of FDCT for representing curves and clarifying features on it with Homomorphic filtering which is an efficient method for enhancing the appearance of IR images. Also, we investigate the influence of FDCT coefficients on the Infrared images. The proposed method gives good results with respect to objective and subjective measurements when using only the first and last FDCT coefficients.