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An Enhanced DCT based Image Fusion using Adaptive Histogram Equalization

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 87 - Number 12
Year of Publication: 2014
Jagdeep Singh
Vijay Kumar Banga

Jagdeep Singh and Vijay Kumar Banga. Article: An Enhanced DCT based Image Fusion using Adaptive Histogram Equalization. International Journal of Computer Applications 87(12):26-32, February 2014. Full text available. BibTeX

	author = {Jagdeep Singh and Vijay Kumar Banga},
	title = {Article: An Enhanced DCT based Image Fusion using Adaptive Histogram Equalization},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {87},
	number = {12},
	pages = {26-32},
	month = {February},
	note = {Full text available}


Image fusion fuses the information from several images of one scene to obtain a precise, complete and reliable image which is more appropriate for human visual perception or additional vision processing. The quality of an image is closely related to image focus. The discrete cosine transforms (DCT) based methods of image fusion are more suitable and time-saving in real-time systems using DCT based standards of still image or video. DCT based image fusion produced results but with lesser clarity, less PSNR value and more Mean square error. This paper proposes a new algorithm whose overall objective is to improve the results by combining DCT with adaptive histogram equalization. The experimental results and comparison has shown that the proposed algorithm provides a significant improvement over the existing DCT based fusion techniques.


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