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Proceedings Paper

Image fusion in discrete cosine transform domain using masking techniques
Author(s): K. K. Sharma; K. Priti
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Paper Abstract

Image fusion is the process of combining two or more images of the same scene into a single image which is suitable for human perception and practical applications. This paper investigates the effect of use of different types of masks in discrete cosine transform (DCT) domain for image fusion applications. Here we have used different types of masks such as rectangular, triangular, strip and fan shaped mask. In the proposed scheme, the DCT of both the images are taken and mask and its complimentary mask are applied on two transformed images respectively. The masked images are then fused in the transform domain and inverse DCT is applied to obtain the fused image. Simulation results of the proposed technique are also presented and it is observed that fusion based on the fan shaped mask gives better quality of fused image than other masks consider in this paper as well as some of the methods existing in the literature.

Paper Details

Date Published: 28 January 2013
PDF: 8 pages
Proc. SPIE 8760, International Conference on Communication and Electronics System Design, 87601L (28 January 2013); doi: 10.1117/12.2012309
Show Author Affiliations
K. K. Sharma, Malaviya National Institute of Technology (India)
K. Priti, Malaviya National Institute of Technology (India)


Published in SPIE Proceedings Vol. 8760:
International Conference on Communication and Electronics System Design
Vijay Janyani; M. Salim; K. K. Sharma, Editor(s)

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