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A Survey of Image Fusion using Genetic Algorithm

IJCA Proceedings on National Conference on Advances in Computing
© 2015 by IJCA Journal
NCAC 2015 - Number 6
Year of Publication: 2015
Jyoti S. Kulkarni
Rajan Kumar S. Bichkar

Jyoti S Kulkarni and Rajan Kumar S Bichkar. Article: A Survey of Image Fusion using Genetic Algorithm. IJCA Proceedings on National Conference on Advances in Computing NCAC 2015(6):33-35, December 2015. Full text available. BibTeX

	author = {Jyoti S. Kulkarni and Rajan Kumar S. Bichkar},
	title = {Article: A Survey of Image Fusion using Genetic Algorithm},
	journal = {IJCA Proceedings on National Conference on Advances in Computing},
	year = {2015},
	volume = {NCAC 2015},
	number = {6},
	pages = {33-35},
	month = {December},
	note = {Full text available}


Image fusion is a process of combining relevant information from input images. Several image fusion techniques are available and are used according to the application. Now-a-days advanced sensors are used for image acquisition. However these sensors usually cannot capture whole information. Hence images from different sensors are combined together to produce more informative image. When image fusion algorithm is applied, different solutions are available. Thus it is necessary to select an optimal solution for image fusion. This optimal solution fuses the input images giving a fused image which contains more information than either input images. Genetic algorithm is an optimization method used for searching solution of large number of problems. This paper gives a brief overview of image fusion techniques using genetic algorithms.


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