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Enhancement of IR Images using Homomorphic Filtering in Fast Discrete Curvelet Transform (FDCT)

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 8
Year of Publication: 2014
Athar A. Ein-shoka
Hamdy M. Kelash
Osama S. Faragallah
Hala S. El-sayed

Athar A Ein-shoka, Hamdy M Kelash, Osama S Faragallah and Hala S El-sayed. Article: Enhancement of IR Images using Homomorphic Filtering in Fast Discrete Curvelet Transform (FDCT). International Journal of Computer Applications 96(8):22-25, June 2014. Full text available. BibTeX

	author = {Athar A. Ein-shoka and Hamdy M. Kelash and Osama S. Faragallah and Hala S. El-sayed},
	title = {Article: Enhancement of IR Images using Homomorphic Filtering in Fast Discrete Curvelet Transform (FDCT)},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {8},
	pages = {22-25},
	month = {June},
	note = {Full text available}


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.


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