Paper
28 January 2013 Image fusion in discrete cosine transform domain using masking techniques
Author Affiliations +
Proceedings Volume 8760, International Conference on Communication and Electronics System Design; 87601L (2013) https://doi.org/10.1117/12.2012309
Event: International Conference on Communication and Electronics System Design, 2013, Jaipur, India
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
K. K. Sharma and K. Priti "Image fusion in discrete cosine transform domain using masking techniques", Proc. SPIE 8760, International Conference on Communication and Electronics System Design, 87601L (28 January 2013); https://doi.org/10.1117/12.2012309
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KEYWORDS
Image fusion

Image quality

Fluctuations and noise

Image processing

Signal to noise ratio

Image enhancement

Data fusion

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